A curated list of my GitHub stars! Generated by starred.
- Arduino
- C
- C#
- C++
- CSS
- Clojure
- CoffeeScript
- Crystal
- Cython
- Dart
- Dockerfile
- Emacs Lisp
- GDScript
- Go
- HCL
- HTML
- Hack
- Haskell
- Java
- JavaScript
- Jinja
- Jupyter Notebook
- MATLAB
- Makefile
- Markdown
- Mathematica
- Max
- Nunjucks
- Open Policy Agent
- Others
- PHP
- Perl
- Processing
- Pure Data
- Python
- R
- Ruby
- Rust
- SCSS
- Scala
- Shell
- Svelte
- Swift
- TeX
- TypeScript
- Vim script
- Vue
- dicksondickson/PlantFriends - Plant Friends
- jbaiter/jpegtran-cffi - Fast, (mostly) lossless JPEG transformations with Python
- darktable-org/darktable - darktable is an open source photography workflow application and raw developer
- pytorch/accimage - high performance image loading and augmenting routines mimicking PIL.Image interface
- ahrm/sioyek - Sioyek is a PDF viewer designed for reading research papers and technical books.
- Open-Smartwatch/open-smartwatch-os - The Open-Smartwatch Operating System.
- ggreer/the_silver_searcher - A code-searching tool similar to ack, but faster.
- SwiftLaTeX/SwiftLaTeX - SwiftLaTeX, a WYSIWYG Browser-based LaTeX Editor
- saitoha/libsixel - A SIXEL encoder/decoder implementation derived from kmiya's sixel (https://github.com/saitoha/sixel).
- happyharrycn/unsupervised_edges - Code for our CVPR 2016 paper "Unsupervised Learning of Edges"
- alxnbl/onenote-md-exporter - ConsoleApp to export OneNote notebooks to Markdown formats
- Unity-Technologies/ml-agents - The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement lea
- keijiro/Rsvfx - An example that shows how to connect RealSense depth camera to Unity VFX Graph
- christopher5106/FastAnnotationTool - A tool using OpenCV to annotate images for image classification, optical character reading, ...
- patrickjane/ut-plants - Identify plants by analyzing images
- spotify/annoy - Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
- xournalpp/xournalpp - Xournal++ is a handwriting notetaking software with PDF annotation support. Written in C++ with GTK3, supporting Linux (e.g. Ubuntu, Debian, Arch, SUSE), macOS and Windows 10. Supports pen input from
- jongwook/tfrecord_lite - Make TFRecord Usable Again
- facebookresearch/faiss - A library for efficient similarity search and clustering of dense vectors.
- dechamps/FlexASIO - A flexible universal ASIO driver that uses the PortAudio sound I/O library. Supports WASAPI (shared and exclusive), KS, DirectSound and MME.
- Beep6581/RawTherapee - A powerful cross-platform raw photo processing program
- precision-sustainable-ag/BenchBot - Greenhouses phenotyping prototype - Machine vision systems for monitoring phenotyping variables in greenhouses.
- interpretml/interpret - Fit interpretable models. Explain blackbox machine learning.
- hoffstadt/DearPyGui - Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies
- Tencent/TNN - TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cr
- daquexian/onnx-simplifier - Simplify your onnx model
- XY-boy/MSTT-STVSR - [JAG 2022] Space-time Super-resolution for Satellite Video: A Joint Framework Based on Multi-Scale Spatial-Temporal Transformer
- facebookresearch/StarSpace - Learning embeddings for classification, retrieval and ranking.
- OndrejTexler/Few-Shot-Patch-Based-Training - The official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training
- deepmind/reverb - Reverb is an efficient and easy-to-use data storage and transport system designed for machine learning research
- ml4a/ml4a-ofx - A collection of openFrameworks apps for working with machine learning
- taichi-dev/taichi - Productive & portable high-performance programming in Python.
- changkun/modern-cpp-tutorial - 📚 Modern C++ Tutorial: C++11/14/17/20 On the Fly | https://changkun.de/modern-cpp/
- tum-vision/afs - Automatic Feature Selection
- patrickmineault/codebook - The Good Research Code Handbook
- connorferster/handcalcs - Python library for converting Python calculations into rendered latex.
- AllToMP3/alltomp3-app - Download and Convert YouTube, SoundCloud & Spotify in MP3 with full tags (title, artist, genre, cover, lyrics 🔥)
- gautamkrishnar/github-pages-gallery - A zero dollar solution to host your photo/video gallery online using Github pages and GitHub Actions. No coding necessary.
- kmaasrud/awesome-obsidian - 🕶️ Awesome stuff for Obsidian
- mahmoud/zerover - 0️⃣ Minimalist versioning scheme for devs who can't be bothered.
- derekeder/csv-to-html-table - 🔽 Display any CSV (comma separated values) file as a searchable, filterable, pretty HTML table
- emdelponte/FGSC - Global Fusarium graminearum species complex database
- logseq/logseq - A privacy-first, open-source platform for knowledge management and collaboration. Desktop app download link: https://github.com/logseq/logseq/releases, roadmap: https://trello.com/b/8txSM12G/roadmap
- cdglabs/apparatus - A hybrid graphics editor and programming environment for creating interactive diagrams.
- nicolaskruchten/pivottable - Open-source Javascript Pivot Table (aka Pivot Grid, Pivot Chart, Cross-Tab) implementation with drag'n'drop.
- iv-org/invidious - Invidious is an alternative front-end to YouTube
- chrisjbillington/gil_load - Utility for measuring the fraction of time the CPython GIL is held
- serenader2014/flutter_carousel_slider - A flutter carousel widget, support infinite scroll, and custom child widget.
- BeshoyMelika/flutter-gallery-package - Flutter plugin that allows you to display multi-image on iOS and Android.
- Solido/awesome-flutter - An awesome list that curates the best Flutter libraries, tools, tutorials, articles and more.
- FirebaseExtended/mlkit-custom-image-classifier - Easily collect data and train image classification models.
- maxkrieger/voiceliner - Braindump better.
- cresset-template/cresset - Template repository to build PyTorch projects from source on any version of PyTorch/CUDA/cuDNN.
- org-roam/org-roam - Rudimentary Roam replica with Org-mode
- mbrlabs/Lorien - Infinite canvas drawing/whiteboarding app for Windows, Linux and macOS. Made with Godot.
- hofstadter-io/hof - The High Code Framework (low-code for devs), a flexible data modeling & code generation system powered by CUE
- photoprism/photoprism - AI-Powered Photos App for the Decentralized Web 🌈💎✨
- pulumi/pulumi - Pulumi - Universal Infrastructure as Code. Your Cloud, Your Language, Your Way 🚀
- aqueducthq/aqueduct - An Open-Source Platform for Production Data Science
- git-town/git-town - Generic, high-level Git workflow support!
- containers/skopeo - Work with remote images registries - retrieving information, images, signing content
- webdataset/tarp - Fast and simple stream processing of files in tar files, useful for deep learning, big data, and many other applications.
- featureform/featureform - The Virtual Feature Store. Turn your existing data infrastructure into a feature store.
- syncthing/syncthing - Open Source Continuous File Synchronization
- alda-lang/alda - A music programming language for musicians. 🎶
- NVIDIA/aistore - AIStore: scalable storage for AI applications
- rollcat/judo - Simple orchestration & configuration management
- inancgumus/learngo - 1000+ Hand-Crafted Go Examples, Exercises, and Quizzes
- bgokden/veri - Scalable Feature Store
- PrefectHQ/prefect-recipes - Snippets and templates representing common Customer Success patterns
- re-data/re-data - re_data - fix data issues before your users & CEO would discover them 😊
- bit-bots/imagetagger - An open source online platform for collaborative image labeling
- sicara/dvc-streamlit-example - Dvc + Streamlit = ❤️
- bedimcode/responsive-image-gallery-slider - Responsive Image Gallery Slider Using HTML CSS & JavaScript
- princetonvisualai/OverlookedFactors - Overlooked factors in concept-based explanations: Dataset choice, concept salience, and human capability (arXiv:2207.09615)
- Alex0Blackwell/guitar-chord-lookup - Remember the guitar chord but not the name? Use reverse guitar chord to lookup the chord name!
- PaddlePaddle/VisualDL - Deep Learning Visualization Toolkit(『飞桨』深度学习可视化工具 )
- leemunroe/responsive-html-email-template - A free simple responsive HTML email template
- google/localized-narratives - Localized Narratives
- kolibril13/plywood-gallery - Jupyter cell magic that turns images from cell output into a gallery
- faridrashidi/kaggle-solutions - 🏅 Collection of Kaggle Solutions and Ideas 🏅
- josephrocca/clip-image-sorter - Sort a folder of images according to their similarity with provided text in your browser (use a browser-ported version of OpenAI's CLIP model and the web's new File System Access API)
- lucidrains/attention - This repository will house a visualization that will attempt to convey instant enlightenment of how Attention works to someone not working in artificial intelligence, with 3Blue1Brown as inspiration
- notnews/archive_news_cc - Closed Caption Transcripts of News Videos from archive.org + Scripts for Downloading and Parsing the data
- mlflow/mlflow-export-import -
- amesar/mlflow-export-import - Export and import MLflow experiments, runs or registered models
- SamLau95/nbinteract - Create interactive webpages from Jupyter Notebooks
- princetonvisualai/HIVE - HIVE: Evaluating the Human Interpretability of Visual Explanations (ECCV 2022)
- acgeospatial/awesome-earthobservation-code - A curated list of awesome tools, tutorials, code, projects, links, stuff about Earth Observation, Geospatial Satellite Imagery
- IGNF/odeon-landcover - ODEON stands for Object Delineation on Earth Observations with Neural network. It is a set of command-line tools performing semantic segmentation on remote sensing images (aerial and/or satellite). Th
- wsvincent/awesome-django - A curated list of awesome things related to Django
- amyjko/design-methods - A simple, accessible, mobile-ready textbook on HCI and Design.
- Nyandwi/machine_learning_complete - A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
- jayelm/compexp - Compositional Explanations of Neurons, NeurIPS 2020 https://arxiv.org/abs/2006.14032
- opengeospatial/SoilDataIE - OGC Soil Data Interoperability Experiment
- markledwich2/Recfluence - An analysis of YouTube's political influence through recommendations.
- substrait-io/substrait - A cross platform way to express data transformation, relational algebra, standardized record expression and plans.
- Roznoshchik/Lurnby - A tool for active reading and personal knowledge management
- dreamingechoes/awesome-mental-health - A curated list of awesome articles, websites and resources about mental health in the software industry.
- thegooddocsproject/templates - Templates created by The Good Docs Project - for all your tech writing needs.
- miromannino/Justified-Gallery - Javascript library to help creating high quality justified galleries of images. Used by thousands of websites as well as the photography community 500px.
- joemccann/dillinger - The last Markdown editor, ever.
- maximz/sift - a git-inspired personal search utility
- alan-turing-institute/the-turing-way - Host repository for The Turing Way: a how to guide for reproducible data science
- burnpiro/presentation-template - Presentation template build with RevealJS and useful plugins
- terminalai/research-development-template - A Template for Research and Development, with additional resources in Ionic-Vue, Android, Web and Streamlit Boilerplate available.
- cheeaun/life - Life - a timeline of important events in my life
- terkelg/awesome-creative-coding - Creative Coding: Generative Art, Data visualization, Interaction Design, Resources.
- bigscience-workshop/data_tooling - Tools for managing datasets for governance and training.
- pliang279/MultiBench - [NeurIPS 2021] Multiscale Benchmarks for Multimodal Representation Learning
- mmistakes/minimal-mistakes - 📐 Jekyll theme for building a personal site, blog, project documentation, or portfolio.
- MisaOgura/flashtorch - Visualization toolkit for neural networks in PyTorch! Demo -->
- ismael-araujo/testing-libraries -
- domainadaptation/salad - A toolbox for domain adaptation and semi-supervised learning. Contributions welcome.
- ripienaar/free-for-dev - A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
- durgeshsamariya/awesome-github-profile-readme-templates - This repository contains best profile readme's for your reference.
- chiphuyen/machine-learning-systems-design - A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
- Kaixhin/FGLab - Future Gadget Laboratory
- ethen8181/machine-learning - 🌎 machine learning tutorials (mainly in Python3)
- jeroenjanssens/data-science-at-the-command-line - Data Science at the Command Line
- VaibhavSaini19/Crop-Yield-Prediction-using-ML - A simple Web application developed in order to provide the farmers/users an approximation on how much amount of crop yield will be produced depending upon the given input
- reanimate/reanimate - Haskell library for building declarative animations based on SVG graphics
- CleanPegasus/TensorDash - TensorDash is an application that lets you remotely monitor your deep learning model's metrics and notifies you when your model training is completed or crashed.
- iluwatar/uml-reverse-mapper - Automatically generate class diagram from code. Supports Graphviz, PlantUML and Mermaid output formats.
- mianalysis/mia - Modular, object-based analysis for ImageJ/Fiji
- jtablesaw/tablesaw - Java dataframe and visualization library
- thingsboard/thingsboard - Open-source IoT Platform - Device management, data collection, processing and visualization.
- PhenoApps/Field-Book -
- VertaAI/modeldb - Open Source ML Model Versioning, Metadata, and Experiment Management
- jeffheaton/mergelife - Evolve complex cellular automata with a genetic algorithm.
- eugeneyan/applyingml - 📌 Papers, guides, and mentor interviews on applying machine learning for ApplyingML.com—the ghost knowledge of machine learning.
- Slava/label-tool - Web application for image labeling and segmentation
- higlass/higlass - Fast, flexible and extensible genome browser.
- naim30/soundrop - Create the perfect environment to work and relax.
- cruise-automation/webviz - web-based visualization libraries
- matcho/simple-telabotanica-map - A simple map for Tela Botanica public botany observations
- matcho/simple-telabotanica-photo-gallery - A simple photo gallery for Tela Botanica public botany observations
- openseadragon/openseadragon - An open-source, web-based viewer for zoomable images, implemented in pure JavaScript.
- tconfrey/BrainTool - A better way to manage Tabs, Links and Notes
- gchq/CyberChef - The Cyber Swiss Army Knife - a web app for encryption, encoding, compression and data analysis
- qeeqbox/social-analyzer - API, CLI, and Web App for analyzing and finding a person's profile in 1000 social media \ websites
- nodeca/pica - Resize image in browser with high quality and high speed
- microsoft/satellite-imagery-labeling-tool - This is a lightweight web-interface for creating and sharing vector annotations over satellite/aerial imagery scenes.
- MarcSkovMadsen/awesome-panel - Awesome Panel supports Panel and its users. We provide a live Panel web site with an awesome list and a live gallery of apps with code. Panel makes it easy to build powerful data apps in Python using
- Stuk/jszip - Create, read and edit .zip files with Javascript
- yjs/yjs - Shared data types for building collaborative software
- makegirlsmoe/makegirlsmoe_web - Create Anime Characters with MakeGirlsMoe
- theosanderson/taxonium - Explore very large trees in the browser
- poloclub/cnn-explainer - Learning Convolutional Neural Networks with Interactive Visualization.
- inovua/reactdatagrid - Empower Your Data with the best React Data Grid there is
- AI4LIFE-GROUP/OpenXAI - OpenXAI : Towards a Transparent Evaluation of Model Explanations
- uwdata/arquero - Query processing and transformation of array-backed data tables.
- varkor/quiver - A modern commutative diagram editor for the web.
- bijection/g9 - Automatically Interactive Graphics 🖼✨💯
- MaggieAppleton/digital-gardeners - Resources, links, projects, and ideas for gardeners tending their digital notes on the public interwebs
- alyssaxuu/omni - The all-in-one tool to supercharge your productivity ⌨️
- YaleDHLab/neural-neighbors - A simple web application for browsing similar images
- YaleDHLab/realtime-image-layout - Visualize images from a IIIF manifest using client-side mobilenet image vectors
- YaleDHLab/pix-plot - A WebGL viewer for UMAP or TSNE-clustered images
- yeefun/notion-mark-manager - Browser Extension - efficiently manage colored texts and comments in Notion.
- alyssaxuu/slashy - Supercharge Notion with custom commands to record, draw, and more ✍️
- notionblog/notion-backups - 🪄 Automatic backups for your Notion workspaces.
- connertennery/Notion-to-Obsidian-Converter - Converts exported Notion notes to work with Obsidian.
- nextapps-de/spotlight - Web's most easy to integrate lightbox gallery library. Super-lightweight, outstanding performance, no dependencies.
- DeNA/nota - Web application for image and video labeling and annotation
- ioam/boxflow - Visual dataflow programming between parameterized objects
- 9characters/seedqt -
- saroz014/Plant-Diseases-Recognition - CNN classifier for recognizing plant diseases using Keras
- anvaka/pixchart - Turn any image into delightful splash of colors and order
- sciencefair-land/sciencefair - The futuristic, fabulous and free desktop app for working with scientific literature 🔬 📖
- blueimp/Gallery - blueimp Gallery is a touch-enabled, responsive and customizable image & video gallery, carousel and lightbox, optimized for both mobile and desktop web browsers. It features swipe, mouse and keyboard
- fghaas/cookiecutter-presentation - A cookiecutter template that generates an opinionated reveal.js presentation
- vict0rsch/PaperMemory - Your browser's reference manager: automatic paper detection (Arxiv, OpenReview & more), publication venue matching and code repository discovery! Also enhances ArXiv: BibTex citation, Markdown link, d
- biocore/empress - A fast and scalable phylogenetic tree viewer for microbiome data analysis
- poloclub/ganlab - GAN Lab: An Interactive, Visual Experimentation Tool for Generative Adversarial Networks
- weecology/DeepForest-pytorch - Pytorch implementation of the deepforest model for tree crown RGB detection.
- mariusbrataas/flowpoints_ml - An intuitive approach to creating deep learning models
- shzlw/zeu - A JavaScript library for real-time visualization
- georgegach/flowiz - Converts Optical Flow files to images and optionally compiles them to a video. Flow viewer GUI is also available. Check out mockup right from Github Pages:
- LibraryOfCongress/speculative-annotation - Speculative Annotation is a web browser application written in Javascript and built with React, FabricJS, IIIF, OpenSeaDragon, and ChakraUI. Source images are hosted locally. The application uses the
- hackerkid/Mind-Expanding-Books - 📚 Books everyone should read!
- prabhuomkar/iris - Open Source Photos Platform Powered by PyTorch
- benbjohnson/thesecretlivesofdata - Understanding what your bits do when you're not looking.
- weecology/DeepForest - Python Package for Tree Crown Detection in Airborne RGB imagery
- aharley/nn_vis - An interactive visualization of neural networks
- zadam/trilium - Build your personal knowledge base with Trilium Notes
- bevacqua/dragula - 👌 Drag and drop so simple it hurts
- plasma-umass/scalene - Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python
- wshanks/Zutilo - Zotero plugin providing some additional editing features
- OpenIntroStat/ims - 📚 Introduction to Modern Statistics - A college-level open-source textbook with a modern approach highlighting multivariable relationships and simulation-based inference.
- orbit-love/orbit-model - A framework for building high gravity communities 🪐
- githubocto/repo-visualizer -
- techgaun/active-forks - Find active github forks of a repo https://git.io/vSnrC
- tensorspace-team/tensorspace - Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js
- goabstract/Awesome-Design-Tools - The best design tools and plugins for everything 👉
- ricklamers/gridstudio - Grid studio is a web-based application for data science with full integration of open source data science frameworks and languages.
- xiaolin/react-image-gallery - React carousel image gallery component with thumbnail support 🖼
- git-tips/tips - Most commonly used git tips and tricks.
- hagopj13/node-express-boilerplate - A boilerplate for building production-ready RESTful APIs using Node.js, Express, and Mongoose
- carbon-app/carbon - 🖤 Create and share beautiful images of your source code
- awesome-selfhosted/awesome-selfhosted - A list of Free Software network services and web applications which can be hosted on your own servers
- yining1023/Machine-Learning-for-Physical-Computing - Repository for the "Machine Learning for Physical Computing" class at ITP, NYU
- antvis/hierarchy - Layout algorithms for visualizing hierarchical data.
- marbl/Krona - Interactively explore metagenomes and more from a web browser.
- cirosantilli/ourbigbook - https://ourbigbook.com source code + a compatible local CLI static wiki generator and markup language to write complex structured wikis/books/blogs with reference implementation in JavaScript.
- gatsbyjs/gatsby - Build blazing fast, modern apps and websites with React
- klaussinani/ao - Elegant Microsoft To-Do desktop app
- QuantStack/jupyterlab-drawio - A standalone embedding of the FOSS drawio / mxgraph package into jupyterlab
- john-guerra/navio - A d3 visualization widget to help summarizing, exploring and navigating large network visualizations
- dundalek/markmap - Visualize markdown documents as mindmaps
- UniversalDataTool/universal-data-tool - Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.
- VIDA-NYU/PipelineVis -
- fchollet/ARC - The Abstraction and Reasoning Corpus
- plotly/react-alignment-viewer - 📊 A React component to interactively view multiple sequence alignments (MSA).
- AMAI-GmbH/AI-Expert-Roadmap - Roadmap to becoming an Artificial Intelligence Expert in 2022
- williamFalcon/test-tube - Python library to easily log experiments and parallelize hyperparameter search for neural networks
- mnielsen/cognitivemedium - Repo for cognitivemedium.com
- Mini-Conf/Mini-Conf - Run a conference from your backyard.
- cbovar/ConvNetDraw - Draw multi-layer neural network in your browser
- metafizzy/zdog - Flat, round, designer-friendly pseudo-3D engine for canvas & SVG
- geerlingguy/internet-pi - Raspberry Pi config for all things Internet.
- koaning/human-learn - Natural Intelligence is still a pretty good idea.
- GokuMohandas/mlops-course - A project-based course on the foundations of MLOps with a focus on intuition and application.
- SLAMPAI/large-scale-pretraining-transfer - Code for reproducing the experiments on large-scale pre-training and transfer learning for the paper "Effect of large-scale pre-training on full and few-shot transfer learning for natural and medical
- dgriffiths3/ucl_cegeg075 - Coursework data for Image Understanding
- Phlya/adjustText - A small library for automatically adjustment of text position in matplotlib plots to minimize overlaps.
- symphonynet/SymphonyNet - Symphony Generation with Permutation Invariant Language Model
- h2oai/h2o-3 - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Me
- csteinmetz1/steerable-nafx - Steerable discovery of neural audio effects
- DenisVorotyntsev/CategoricalEncodingBenchmark - Benchmarking different approaches for categorical encoding for tabular data
- PacktPublishing/Practical-Deep-Learning-at-Scale-with-MLFlow - Practical Deep Learning at Scale with MLFlow, published by Packt
- mhamilton723/STEGO - Unsupervised Semantic Segmentation by Distilling Feature Correspondences
- marceloprates/prettymaps - A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.
- decile-team/distil - DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.
- JosephKJ/Continual-Learning-101 - A repo illustrating the basics of Continual Learning.
- webdataset/webdataset - A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.
- Borda/kaggle_image-classify - Identify the type of disease present on Appletree leafs
- ecs-vlc/FMix - Official implementation of 'FMix: Enhancing Mixed Sample Data Augmentation'
- ilia10000/LO-Shot - Papers and code related to 'Less Than One'-Shot (LO-Shot) Learning
- moboehle/CoDA-Nets - Official implementation for the CVPR paper "Convolutional Dynamic Alignment Networks for Interpretable Classifications"
- ducha-aiki/pytorch-sift - PyTorch implementation of SIFT descriptor
- imskr/Plant_Disease_Detection - Plant Disease Detector Web Application
- fishial/Object-Detection-Model - Object Detection Model
- MarcCoru/MTLCC - Multi-temporal land cover classification. Source code and evaluation of IJGI 2018 journal publication
- amaiya/ktrain - ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
- omerbt/Splice - Official Pytorch Implementation for "Splicing ViT Features for Semantic Appearance Transfer" presenting "Splice" (CVPR 2022 Oral)
- RAIVNLab/MRL - Code repository for the paper - "Matryoshka Representations for Adaptive Deployment"
- mchong6/SOAT - Official PyTorch repo for StyleGAN of All Trades: Image Manipulation with Only Pretrained StyleGAN.
- PAIR-code/saliency - Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).
- LukasHedegaard/dage - Official TensorFlow implementation for "Supervised Domain Adaptation: A Graph Embedding Perspective and a Rectified Experimental Protocol" [TIP 2021] and "Supervised Domain Adaptation using Graph Embe
- programminghistorian/ph-submissions - A work-in-progress site for submitting and reviewing new Programming Historian lessons
- agriculture-vlab/avl-dataset-convention - Provides dataset examples for the AVL project
- Atcold/pytorch-Deep-Learning - Deep Learning (with PyTorch)
- mindsdb/lightwood - Lightwood is Legos for Machine Learning.
- CalculatedContent/WeightWatcher - The WeightWatcher tool for predicting the accuracy of Deep Neural Networks
- markriedl/transformer-walkthrough - A walkthrough of transformer architecture code
- KaihuaTang/Generalized-Long-Tailed-Benchmarks.pytorch - [ECCV 2022] A generalized long-tailed challenge that incorporates both the conventional class-wise imbalance and the overlooked attribute-wise imbalance within each class. The proposed IFL together w
- nfick/agfield - Capstone project from The Data Incubator
- rpautrat/SuperPoint - Efficient neural feature detector and descriptor
- kuutsav/information-retrieval - Neural information retrieval / semantic-search / Bi-Encoders
- BertilleT/Classificrops - Classificrops is a tool dedicated to convert a european crops classification to the ICC classification
- jupyterlab/jupyterlab-hdf5 - Open and explore HDF5 files in JupyterLab. Can handle very large (TB) sized files, and datasets of any dimensionality
- modestyachts/ImageNetV2 - A new test set for ImageNet
- poloclub/visual-auditor - Interactive scalable auditing of model biases and vulnerabilities with interpretable mitigation
- poloclub/neuro-cartography - Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks
- 2320sharon/Sniffer - Lightweight Python application for sorting images in your dataset
- juntang-zhuang/Adabelief-Optimizer - Repository for NeurIPS 2020 Spotlight "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"
- walkwithfastai/walkwithfastai.github.io - Host for https://walkwithfastai.com
- facebookresearch/fewshotDatasetDesign - The paper studies the problem of learning to recognize a new class of objects from a very small number of labeled images. This is called few-shot learning. Previous work in the literature focused on d
- horsepurve/DeepVoro - Few-shot Learning as Cluster-induced Voronoi Diagrams (ICLR 2022)
- MLSysOps/Ray-CL-Demo - A demo to show how to use ray tune as a trainer to provide ray serve with the continual learning power
- zilliztech/feder - Visualization for hnsw, faiss and other anns index
- dair-ai/data_science_writing_primer - Writing Primer for Data Scientists
- dair-ai/ML-Notebooks - 🔥 A series of code examples for all sorts of machine learning tasks and applications.
- spmallick/learnopencv - Learn OpenCV : C++ and Python Examples
- Synerise/cleora - Cleora AI is a general-purpose model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data.
- csinva/imodels - Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
- wrh14/online_adaption_to_label_distribution_shift - Code repo for the NeurIPS 2021 paper "Online Adaption to Label Distribution Shift".
- cceyda/hugging_recipes -
- https-deeplearning-ai/machine-learning-engineering-for-production-public - Public repo for DeepLearning.AI MLEP Specialization
- raoyongming/GFNet - [NeurIPS 2021] Global Filter Networks for Image Classification
- GoogleCloudPlatform/mlops-on-gcp -
- shreyashankar/toy-ml-pipeline - Toy example of an applied ML pipeline for me to experiment with MLOps tools.
- sail-sg/poolformer - PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral)
- Nyandwi/ModernConvNets - Revisions and implementations of modern Convolutional Neural Networks architectures in TensorFlow and Keras
- nasaharvest/street2sat -
- nasaharvest/mlhub - A python library for interacting with https://mlhub.earth
- developmentseed/label-maker-dask - Library for running label-maker as a dask job
- dallascard/NLP-power-analysis -
- xuebinqin/DIS - This is the repo for our new project Highly Accurate Dichotomous Image Segmentation
- louis030195/big-talks - Collaborative list of questions to trigger interesting conversations, thinking ... and, obviously, avoid small talks.
- rom1504/deepfashion_to_tfrecords - Convert deepfashion to tfrecords to learn multimodal models
- rom1504/clip-retrieval - Easily compute clip embeddings and build a clip retrieval system with them
- ai-builders/curriculum - 8-week curriculum for AI Builders
- salesforce/OmniXAI - OmniXAI: A Library for eXplainable AI
- eaton-lab/toytree - A minimalist tree plotting library using toyplot graphs
- mpagli/Agree-to-Disagree - Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"
- ecreager/eiil - Code for Environment Inference for Invariant Learning (ICML 2021 Paper)
- torrvision/focal_calibration - Code for the paper "Calibrating Deep Neural Networks using Focal Loss"
- KaihuaTang/Long-Tailed-Recognition.pytorch - [NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation (LVIS). It is also a PyTorch implementation of the NeurIPS 202
- wangz10/contrastive_loss - Experiments with supervised contrastive learning methods with different loss functions
- abidlabs/deep-learning-genomics-primer - Contains files for the deep learning in genomics primer.
- aimerykong/OpenGAN - ICCV2021 - training a post-hoc lightweight GAN-discriminator for open-set recognition
- mlmed/torchxrayvision - TorchXRayVision: A library of chest X-ray datasets and models.
- hugofloresgarcia/audacitorch - PyTorch wrappers for using your model in audacity!
- kvos/CoastSat - Global shoreline mapping tool from satellite imagery
- scikit-learn-contrib/MAPIE - A scikit-learn-compatible module for estimating prediction intervals.
- jgrss/geowombat - GeoWombat: Utilities for geospatial data
- ohmeow/blurr - A library that integrates huggingface transformers with the world of fastai, giving fastai devs everything they need to train, evaluate, and deploy transformer specific models.
- FrancescoSaverioZuppichini/mirror - Visualisation tool for CNNs in pytorch
- ali-design/gan_steerability - On the "steerability" of generative adversarial networks
- flateon/Active-Learning-for-Remote-Sensing-Image-Retrieval - Unofficial implementation of paper: A Novel Active Learning Method in Relevance Feedback for Content-Based Remote Sensing Image Retrieval (https://ieeexplore.ieee.org/document/6920022/)
- ayaanzhaque/EC-GAN - EC-GAN: Low-Sample Classification using Semi-Supervised Algorithms and GANs (AAAI 2021)
- YaleDHLab/lab-workshops - Materials for workshops on text mining, machine learning, and data visualization
- hila-chefer/Transformer-Explainability - [CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
- HazyResearch/hidden-stratification - Combating hidden stratification with GEORGE
- dennisbakhuis/tqdm_batch - Batch processing using joblib including tqdm progress bars
- hila-chefer/RobustViT - Official PyTorch implementation of Optimizing Relevance Maps of Vision Transformers Improves Robustness. This code allows to finetune the explainability maps of Vision Transformers to enhance robustne
- ayaanzhaque/MultiMix - MultiMix: Sparingly Supervised, Extreme Multitask Learning From Medical Images (ISBI 2021, MELBA 2021)
- TheClimateCorporation/peta-sage - MNIST with Petastorm on Sagemaker using Tensorflow Estimators
- leotac/joypy - Joyplots in Python with matplotlib & pandas 📈
- RedisAI/vecsim-demo - Explore vector similarity in Redis
- anudeep-j98/DSTL-Satellite-Image-feature-detection -
- ashishpatel26/MLflow_End_to_End_Example - MLflow is Open source platform for the machine learning lifecycle so here you can learn MLflow End to End Example with Prediction.
- sail-sg/volo - VOLO: Vision Outlooker for Visual Recognition
- zihangJiang/TokenLabeling - Pytorch implementation of "All Tokens Matter: Token Labeling for Training Better Vision Transformers"
- EDSEL-skoltech/Intro_to_Digital_Agriculture - Skoltech course, Introduction to Digital Agriculture, 3 term
- EDSEL-skoltech/multi_objective_irrigation - Multi-objective irrigation optimization using a crop simulation model and historical weather data
- LankyCyril/pyvenn - Python module for plotting Venn diagrams of 2..6 sets
- LanaLana/forest_species - Here is the pipeline to classify forest species via high-resolution remote sensing images
- Machine-Learning-Tokyo/init -
- ashishpatel26/Andrew-NG-Notes - This is Andrew NG Coursera Handwritten Notes.
- krishnaik06/Cotton-Disease-Prediction-Deep-Learning -
- DataTalksClub/mlops-zoomcamp - Free MLOps course from DataTalks.Club
- nateraw/huggingpics - 🤗🖼️ HuggingPics: Fine-tune Vision Transformers for anything using images found on the web.
- MadryLab/missingness - Code for our ICLR 2022 paper "Missingness Bias in Model Debugging"
- MadryLab/DebuggableDeepNetworks -
- NeuromatchAcademy/course-content-dl - NMA deep learning course
- grasp-lyrl/modelzoo_continual - Model Zoos for Continual Learning (ICLR 22)
- facebookresearch/SWAG - Official repository for "Revisiting Weakly Supervised Pre-Training of Visual Perception Models". https://arxiv.org/abs/2201.08371.
- Lux-AI-Challenge/Lux-Design-2021 - Home to the design and engine of the @Lux-AI-Challenge Season 1, hosted on @kaggle
- mk-minchul/AdaFace -
- digitalearthafrica/deafrica-sandbox-notebooks - Repository for Digital Earth Africa Sandbox, including: Jupyter notebooks, scripts, tools and workflows for geospatial analysis with Open Data Cube and xarray
- VSainteuf/utae-paps - PyTorch implementation of U-TAE and PaPs for satellite image time series panoptic segmentation.
- FaisalAlamri0/ViT-ZSL - Multi-Headed Self-Attention via Vision Transformer for Zero-Shot Learning (ViT-ZSL)
- gittar/breathing-k-means - The "breathing k-means" algorithm with datasets and example notebooks
- ThoughtWorksInc/cd4ml-workshop - Repository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshops
- FaisalAlamri0/IEAM-ZSL - Implicit and Explicit Attention for Zero-Shot Learning
- johnowhitaker/aiaiart - Course content and resources for the AIAIART course.
- liruiwen/TransCAM -
- Oulu-IMEDS/solt - Streaming over lightweight data transformations
- mit-ll-responsible-ai/responsible-ai-toolbox - PyTorch-centric library for evaluating and enhancing the robustness of AI technologies
- PolinaKirichenko/deep_feature_reweighting -
- aarpon/qu - Qu is an attempt to make the full deep learning workflow more interactive by providing a user interface (implemented as napari widget) that abstracts all steps from ground truth generation and curatio
- jni/napariboard-proto - Prototype implementation of napari-integrated CNN training viewer
- haesleinhuepf/awesome-napari-plugins-that-are-not-on-the-napari-hub-yet -
- haesleinhuepf/napari-assistant -
- moskomule/anatome - Ἀνατομή is a PyTorch library to analyze representation of neural networks
- moskomule/dda - Differentiable Data Augmentation Library
- dmarx/anthology-of-modern-ml - Collection of important articles to be treated as a textbook
- jina-ai/dalle-flow - A Human-in-the-Loop workflow for creating HD images from text
- bonlime/sota_imagenet - Code for training on Imagenet to SOTA results using PyTorch
- tmabraham/UPIT - A fastai/PyTorch package for unpaired image-to-image translation.
- bytedance/ibot - iBOT 🤖: Image BERT Pre-Training with Online Tokenizer (ICLR 2022)
- haesleinhuepf/I2K2022-napari-workshop -
- naity/image_tabular - Integrate image and tabular data for deep learning
- rom1504/image_embeddings - Using efficientnet to provide embeddings for retrieval
- SHI-Labs/Semi-Supervised-Transfer-Learning - [CVPR 2021] Adaptive Consistency Regularization for Semi-Supervised Transfer Learning
- gregdeon/spotlight - Implementation of the spotlight: a method for discovering systematic errors in deep learning models
- ndavid/EOTorchLoader - Pytorch dataloader and pytorch lightning datamodule for Earth Observation imagery
- google/svcca -
- sayakpaul/probing-vits - Probing the representations of Vision Transformers.
- RobertTLange/code-and-blog - Some small scale experiments for my blog posts 📝
- Weixin-Liang/MetaShift - MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts (ICLR 2022)
- KinWaiCheuk/pytorch-triplet-loss - Triplet-net and triplet loss implementation on pytorch
- precision-sustainable-ag/OpenCV_Competition2021 -
- nasaharvest/crop-mask - End-to-end workflow for generating high resolution cropland maps
- HarfoucheLab/Ready-Steady-Go-AI -
- data-centric-ai/dcbench - A benchmark of data-centric tasks from across the machine learning lifecycle.
- salmasamiei/IPPN_Workshop_2021_Plantcv - IPPN workshop 2021
- plant-ai-biophysics-lab/DeformableCNN-PlantTraits - A deformable CNN model that accepts multiple sensor inputs and predicts multiple continuous plant trait outputs. SOTA on the 2021 Autonomous Greenhouse Challenge dataset.
- podgorskiy/DareBlopy - Data Reading Blocks for Python
- radiantearth/mlhub-tutorials - Tutorials to access Radiant MLHub Training Datasets
- canturan10/image.classification.on.EuroSAT - Image Classification on EuroSAT
- vasgaowei/TS-CAM - Codes for TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization.
- microsoft/mup - maximal update parametrization (µP)
- decile-team/spear - SPEAR: Programmatically label and build training data quickly.
- eto-ai/rikai - Parquet-based ML data format optimized for working with unstructured data
- vladimirstarygin/Subcenter-ArcFace-Pytorch - Train and filter data using Subcenter ArcFace model in Pytorch
- SamsungLabs/pytorch-ensembles - Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning, ICLR 2020
- ugis22/analysing_twitter - Stream Tweets and store them in a relational DB. Perform sentiment analysis and network interaction.
- raoyongming/DynamicViT - [NeurIPS 2021] DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification
- singlasahil14/salient_imagenet - Code for the ICLR 2022 paper. Salient Imagenet: How to discover spurious features in deep learning?
- aangelopoulos/conformal_classification - Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).
- cidcom/satellite-cloud-removal-dip - Satellite cloud removal with Deep Image Prior.
- ZhiningLiu1998/mesa - NeurIPS’20 | Build powerful ensemble class-imbalanced learning models via meta-knowledge-powered resampler. | 设计元知识驱动的采样器解决类别不平衡问题
- snu-mllab/PuzzleMix - Official PyTorch implementation of "Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup" (ICML'20)
- visinf/fast-axiomatic-attribution - Fast Axiomatic Attribution for Neural Networks (NeurIPS*2021)
- Muennighoff/sgpt - SGPT: GPT Sentence Embeddings for Semantic Search
- M-Nauta/TCDF - Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series
- shaypal5/stationarizer - Smart, automatic detection and stationarization of non-stationary time series data.
- shaypal5/skift - scikit-learn wrappers for Python fastText.
- aparrish/material-of-language - Notes and notebooks for Material of Language
- janghyuncho/PiCIE - PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in clustering (CVPR2021)
- hdmamin/self-supervised-vision-exp - Experimenting with self supervised computer vision tasks as a pre-training step for low resource supervised learning.
- stas00/ipyexperiments - jupyter/ipython experiment containers for GPU and general RAM re-use
- BlackHC/batchbald_redux - Reusable BatchBALD implementation
- TorchDrift/TorchDrift - Drift Detection for your PyTorch Models
- NegatioN/OnlineMiningTripletLoss - PyTorch conversion of https://omoindrot.github.io/triplet-loss
- understandable-machine-intelligence-lab/Quantus - Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations
- hdmamin/incendio - A PyTorch wrapper to allow for rapid experimentation and development of deep learning models. In addition to accepted techniques like cyclical learning rate scheduling and Bloom embeddings, this will
- VSainteuf/pastis-benchmark -
- microsoft/landcover - Land Cover Mapping
- bhavesh907/Crop-Classification - crop classification using deep learning on satellite images
- microsoft/AIforEarthDataSets - Notebooks and documentation for AI-for-Earth-managed datasets on Azure
- alessandrosebastianelli/SentinelDataDownloaderTool - A set of scripits that use the Google Earth Engine pyhton API for the automatic creation of datasets for AI applications.
- bupt-ai-cz/LLVIP - LLVIP: A Visible-infrared Paired Dataset for Low-light Vision
- surajmall/Agriculture-Assistant - Making agriculture smart agriculture
- nasaharvest/cropharvest - Open source remote sensing dataset with benchmarks
- ahmedmalaa/deep-learning-uncertainty - Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.
- tancik/fourier-feature-networks - Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
- MadryLab/robustness - A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.
- GeoscienceAustralia/dea-notebooks - Repository for Digital Earth Australia Jupyter Notebooks: tools and workflows for geospatial analysis with Open Data Cube and xarray
- krakchris/TreeTect - Tree detection
- microsoft/SpeciesClassification - AI for Earth Species Classification API
- gbrunner/programming-for-gis-and-rs - Materials for the Intro to Programming for GIS and Remote Sensing Course that I teach at Saint Louis University. They include the updates I made for the spring 2020 and fall 2020 semesters.
- ababaian/serratus - Ultra-deep search for novel viruses
- schwettmann/visual-vocab - Pytorch-based tools for constructing a vocabulary of visual concepts in a GAN.
- karthikraja95/fsdl_deforestation_detection -
- fossunited/joy - Joy is a tiny creative coding library in Python.
- google/explaining-in-style -
- xrenaa/StyleSpace-pytorch - Implementation of StyleSpace Analysis: Disentangled Controls for StyleGAN Image Generation in PyTorch
- Ranlot/single-parameter-fit - Real numbers, data science and chaos: How to fit any dataset with a single parameter
- lukexyz/FlightVision - 🎥🎯 Tracking dart coordinates with fastai v2
- machine-learning-apps/mlops-dashboard - Prototype MLOps Dashboard Using GitHub Pages
- mratsim/Amazon-Forest-Computer-Vision - Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks
- saic-mdal/lama - 🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
- parrt/lolviz - A simple Python data-structure visualization tool for lists of lists, lists, dictionaries; primarily for use in Jupyter notebooks / presentations
- eclique/RISE - Detect model's attention
- princetonvisualai/revise-tool - REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets --- https://arxiv.org/abs/2004.07999
- SiddhantKumar14/Smart-Agriculture-with-AI-and-Computer-Vision - A series of machine learning models that help when fed the dataset of a specie of plants, will help in automating farming tasks.
- spaceml-org/Self-Supervised-Learner - Curator can be used to train a classifier with fewer labeled examples needed using self-supervised learning.
- linzhiqiu/digital_chirality - Testing the chirality of digital imaging operations.
- richardaecn/cvpr18-inaturalist-transfer - Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018
- Badr-MOUFAD/cookiecutter-simple-DS-project - A simple cookiecutter template to structure your Data Science projects.
- arnabdeypolimi/Image-classification-PyTorch-MLflow - Image classification using Transfer learning technique. Updated and added mlflow with PyTorch fine-tune tutorial
- Noodle-ai/mlflow_part1_condaEnv - Introduction to MLflow and Using MLflow with an Anaconda Environment
- EricSchles/drifter_ml - A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time.
- MagNet-DL/magnet - Deep Learning Projects that Build Themselves
- fel-thomas/Sobol-Attribution-Method - 👋 Code for the paper: "Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis" (NeurIPS 2021)
- fastai/fastcore - Python supercharged for the fastai library
- tkrabel/bamboolib - bamboolib - a GUI for pandas DataFrames
- roboticcam/machine-learning-notes - My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(2000+页)和视频链接
- d6t/d6tflow-template - Project template for highly effective data science workflows
- sinhasam/vaal - Variational Adversarial Active Learning (ICCV 2019)
- sscardapane/reprodl2021 - Host repository for the "Reproducible Deep Learning" PhD course
- oracle/macest - Model Agnostic Confidence Estimator (MACEST) - A Python library for calibrating Machine Learning models' confidence scores
- beresandras/buggy-resizing-critique - A criticism of a recent paper on buggy image downsampling methods in popular image processing and deep learning libraries.
- sizhky/torch_snippets - Utilities for simple needs
- koaning/calm-notebooks - notebooks that are used at calmcode.io
- ariG23498/ImageRetrieval - This repository will contain the jupyter notebooks for the report on Image Retieval.
- DTennant/CL-Visualizing-Feature-Transformation - Improving Contrastive Learning by Visualizing Feature Transformation, ICCV 2021 Oral
- mfederici/dsit - Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"
- parrt/tensor-sensor - The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy, pytorch, jax, tensorflow, keras, fastai.
- ahirner/pytorch-retraining - Transfer Learning Shootout for PyTorch's model zoo (torchvision)
- js-d/sim_metric -
- google/mediapy - This Python library makes it easy to display images and videos in a notebook.
- kozodoi/Kaggle_Leaf_Disease_Classification - Cassava leaf disease classification with CNNs and Transformers (top-1% Kaggle solution)
- FrancescoSaverioZuppichini/glasses - High-quality Neural Networks for Computer Vision 😎
- mfederici/dl-kit -
- facebookresearch/fairo - A modular embodied agent architecture and platform for building embodied agents
- jmschrei/apricot - apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models quickly. See the documentation page: https://apricot-select.readth
- Jingkang50/OODSurvey - The Official Repository for "Generalized OOD Detection: A Survey"
- 7ossam81/EvoloPy - EvoloPy toolbox provides classical and recent nature-inspired metaheuristic for the global optimization.
- bilalsal/blocks - A Juptyer notebook on visualizing classification structure of large-scale classifiers
- OpenAgriTech/Open-PhenoLiDAR - Open-PhenoLiDAR is an open-source package from the integration of LiDAR sensors in plant phenotyping and crop monitoring applications.
- thsant/add256 - Apple from Drones Detection Dataset
- aman5319/Classification-Report - This repo helps to track model Weights, Biases and Gradients during training with loss tracking and gives detailed insight for Classification-Model Evaluation
- orico/KernelAlgorithms - A comparison of non vs kernel algorithms, such as KDE, PCA, SVM, Kmeans
- cosmic-cortex/pytorch-hooks-tutorial - A crash course on PyTorch hooks
- qanastek/HugsVision - HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision
- greydanus/hamiltonian-nn - Code for our paper "Hamiltonian Neural Networks"
- dnap512/SelfReg - PyTorch implementation of Self-supervised Contrastive Regularization for DG (SelfReg) [ICCV2021]
- whylabs/whylogs - The open standard for data logging
- jonathandinu/spark-ray-data-science - Supporting content (slides and exercises) for the Pearson video series covering best practices for developing scalable applications with Spark and Ray in the context of a data scientist's standard wor
- miracleyoo/pytorch-lightning-template - An easy/swift-to-adapt PyTorch-Lighting template. 套壳模板,简单易用,稍改原来Pytorch代码,即可适配Lightning。You can translate your previous Pytorch code much easier using this template, and keep your freedom to edit all
- jupyter-naas/awesome-notebooks - Ready to use data science templates, organized by tools to jumpstart your projects in minutes. 😎 published by the Naas community.
- dabl/dabl - Data Analysis Baseline Library
- ResidentMario/designing-data-intensive-applications-notes - Reading notes on the excellent "Designing Data-Intensive Applications"
- microsoft/tensorwatch - Debugging, monitoring and visualization for Python Machine Learning and Data Science
- raynardj/torchember - PyTorch module tracking and visualization
- slundberg/shap - A game theoretic approach to explain the output of any machine learning model.
- ayulockin/debugNNwithWandB - Concepts Explored in/with Pytorch
- laura-rieger/deep-explanation-penalization - Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.org/abs/1909.13584
- PhoenixDL/rising - Provides everything needed for high performance data loading and augmentation in pytorch.
- google-research/robustness_metrics -
- GoogleCloudPlatform/ml-design-patterns - Source code accompanying O'Reilly book: Machine Learning Design Patterns
- vijishmadhavan/SkinDeep - Get Deinked!!
- rlabbe/Kalman-and-Bayesian-Filters-in-Python - Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters
- firmai/industry-machine-learning - A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
- csinva/hierarchical-dnn-interpretations - Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)
- jeffheaton/t81_558_deep_learning - Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
- tensorflow/tpu - Reference models and tools for Cloud TPUs.
- BCG-Gamma/facet - Human-explainable AI.
- nianticlabs/monodepth2 - [ICCV 2019] Monocular depth estimation from a single image
- Harry24k/catastrophic-overfitting - Understanding Catastrophic Overfitting in Single-step Adversarial Training [AAAI 2021]
- fcdl94/ICL - Incremental Class Learning project
- pbiecek/ema - Explanatory Model Analysis. Explore, Explain and Examine Predictive Models
- aiforpeople-git/First-AI4People-Workshop - Slides and Code for the first AI4People workshop on the 8.+9. August 2020.
- PracticalDL/Practical-Deep-Learning-Book - Official code repo for the O'Reilly Book - Practical Deep Learning for Cloud, Mobile & Edge
- RandolphLiu/BioLoGI - Automated bio-model inference and selection
- labmlai/annotated_deep_learning_paper_implementations - 🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan,
- facebookresearch/nds - On Network Design Spaces for Visual Recognition
- deepmind/deepmind-research - This repository contains implementations and illustrative code to accompany DeepMind publications
- nfmcclure/tensorflow_cookbook - Code for Tensorflow Machine Learning Cookbook
- tensorflow/lucid - A collection of infrastructure and tools for research in neural network interpretability.
- tensorflow/adanet - Fast and flexible AutoML with learning guarantees.
- rsteca/sklearn-deap - Use evolutionary algorithms instead of gridsearch in scikit-learn
- parrt/dtreeviz - A python library for decision tree visualization and model interpretation.
- landskape-ai/triplet-attention - Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]
- Tahedi1/Teacher_Student_Architecture - DEEP INTERPRETABLE ARCHITECTURE FOR PLANT DISEASES CLASSIFICATION
- balancap/SSD-Tensorflow - Single Shot MultiBox Detector in TensorFlow
- lmoroney/tfbook -
- GoogleCloudPlatform/keras-idiomatic-programmer - Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
- AliaksandrSiarohin/first-order-model - This repository contains the source code for the paper First Order Motion Model for Image Animation
- MIC-DKFZ/batchgenerators - A framework for data augmentation for 2D and 3D image classification and segmentation
- neomatrix369/awesome-ai-ml-dl - Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.
- khuyentran1401/Voronoi-diagram - Implementation of voronoi diagram with incremental algorithm
- firmai/datagene - DataGene - Identify How Similar TS Datasets Are to One Another (by @firmai)
- lukas/ml-class - Machine learning lessons and teaching projects designed for engineers
- ml-tooling/ml-workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.
- tobegit3hub/advisor - Open-source implementation of Google Vizier for hyper parameters tuning
- vmirly/the-art-of-deep-learning - Deep learning resources: articles, tutorials, ...
- yu4u/cutout-random-erasing - Cutout / Random Erasing implementation, especially for ImageDataGenerator in Keras
- stratospark/keras-multiprocess-image-data-generator - Accelerating Deep Learning with Multiprocess Image Augmentation in Keras
- llSourcell/mapo - Predict mining prospects and mineral deposits using deep learning and satellite imagery
- totti0223/deep_learning_for_biologists_with_keras - tutorials made for biologists to learn deep learning
- mahmoud/awesome-python-applications - 💿 Free software that works great, and also happens to be open-source Python.
- hellowangqian/domain-adaptation-capls - Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling
- kunhe/FastAP-metric-learning - Code for CVPR 2019 paper "Deep Metric Learning to Rank"
- danfenghong/ISPRS_S2FL - Danfeng Hong, JIngliang Hu, Jing Yao, Jocelyn Chanussot, Xiao Xiang Zhu. Multimodal Remote Sensing Benchmark Datasets for Land Cover Classification with A Shared and Specific Feature Learning Model,
- jonvw28/MCGC - MCGC approach to individual tree crown delineation
- aniketde/DomainGeneralizationMarginal -
- mahmoudnafifi/WB_color_augmenter - WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].
- maizeumn/cold-phenotyping -
- rochacbruno/python-project-template - DO NOT FORK, CLICK ON "Use this template" - A github template to start a Python Project - this uses github actions to generate your project based on the template.
- tldr-pages/tldr - 📚 Collaborative cheatsheets for console commands
- dzhang314/YouTubeDrive - Store files as YouTube videos == infinite disk space
- adamjmurray/ableton-midi-sculptor - Ableton MIDI Sculptor: Tools for MIDI editing in Ableton Live
- joshuacc/prose-for-programmers - A book to help software developers write better prose
- cvat-ai/cvat - Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
- vahidk/EffectivePyTorch - PyTorch tutorials and best practices.
- eugeneyan/1-on-1s - 1-on-1 related materials from my time as a manager.
- AchoArnold/discount-for-student-dev - This is list of discounts on software (SaaS, PaaS, IaaS, etc.) and other offerings for developers who are students
- amarasovic/interpretability-literature -
- wangdongdut/Online-Visual-Tracking-SOTA -
- Jack47/hack-SysML - The road to hack SysML and become an system expert
- ENSTA-U2IS/awesome-uncertainty-deeplearning - This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.
- memoiry/Awesome-model-compression-and-acceleration -
- humanetech-community/awesome-humane-tech - Promoting Solutions that Improve Wellbeing, Freedom and Society
- Vincentqyw/Recent-Stars-2022 - 🔥SLAM, VIsual localization, keypoint detection, Image matching, Pose/Object tracking, Depth/Disparity/Flow Estimation, 3D-graphic, etc. related papers and code
- beamandrew/medical-data -
- TheShadow29/research-advice-list - A compilation of research advice.
- kamranahmedse/design-patterns-for-humans - An ultra-simplified explanation to design patterns
- elyase/awesome-gpt3 -
- jorgef/engineeringladders - A framework for Engineering Managers
- ahkarami/Deep-Learning-in-Production - In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
- mrgloom/Kaggle-Computer-Vision-Competitions-List - List of Kaggle competitions in the field of Computer Vision
- taivop/awesome-data-annotation - A list of tools for annotating data, managing annotations, etc.
- mrgloom/awesome-semantic-segmentation - 🤘 awesome-semantic-segmentation
- xiaojianzhong/awesome-weakly-supervised-semantic-segmentation - A comprehensive list of weakly supervised semantic segmentation (WSSS) works from 2014 to 2022.
- tianshanghong/awesome-anki - A curated list of awesome Anki add-ons, decks and resources
- xiaomengyc/Weakly-Supervised-Object-Localization - Weakly Supervised Object Localization Papers
- AllThingsSmitty/css-protips - A collection of tips to help take your CSS skills pro
- sohamkamani/javascript-design-patterns-for-humans - An ultra-simplified explanation of design patterns implemented in javascript
- unicodeveloper/awesome-nextjs - 📔 📚 A curated list of awesome resources : books, videos, articles about using Next.js (A minimalistic framework for universal server-rendered React applications)
- yourduskquibbles/webannoyances - Fix and remove annoying web elements such as sticky headers, floating boxes, floating videos, dickbars, social share bars and other distracting elements.
- meirwah/awesome-workflow-engines - A curated list of awesome open source workflow engines
- cleanlab/label-errors - 🛠️ Corrected Test Sets for ImageNet, MNIST, CIFAR, Caltech-256, QuickDraw, IMDB, Amazon Reviews, 20News, and AudioSet
- tmabraham/awesome-fastai - A curated list of awesome fastai projects/blog posts/tutorials/etc.
- ucalyptus/awesome-fastai - Curated lists of fastai resources: blog posts, twitter threads etc.
- Yutong-Zhou-cv/Awesome-Text-to-Image - A Survey on Text-to-Image Generation/Synthesis.
- justimyhxu/awesome-3D-generation - A curated list of awesome 3d generation papers
- sjchoi86/2022-1-deep-learning-applications -
- nielsrolf/thoughts - Maybe an attempt to use github as a blog and see if I change thoughts over time
- Albert0147/OneRing_SF-UNDA - Code for 'One Ring to Bring Them All: Towards Open-Set Recognition under Domain Shift'
- faroit/awesome-python-scientific-audio - Curated list of python software and packages related to scientific research in audio
- mgramin/awesome-db-tools - Everything that makes working with databases easier
- toohsk/kedro_gradio - Example project working with Kedro and Gradio.
- owainlewis/awesome-artificial-intelligence - A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
- shengyp/doing_the_PhD -
- r0f1/datascience - Curated list of Python resources for data science.
- filipematias23/Bison-Fly - Bison-Fly is the NDSU Spring Wheat UAV Pipeline developed in partnership with Drone2Phenome UAV community (D2P). In this pipeline we are presenting step by step how we have been applying UAV data on o
- ksindi/managers-playbook - 📖 Heuristics for effective management
- marceloboeira/awesome-expat - 🌎 A curated list of resources for expats
- dair-ai/Transformers-Recipe - 🧠 A quick recipe to learn all about Transformers
- tmcw/awesome-geojson - GeoJSON utilities that will make your life easier.
- cleder/awesome-python-testing - Collection of awesome Python resources for testing, PRs are welcome ;-)
- timofurrer/awesome-asyncio - A curated list of awesome Python asyncio frameworks, libraries, software and resources
- brillout/awesome-react-components - Curated List of React Components & Libraries.
- trekhleb/okso-app - ✍🏻 The drawing app to express, grasp, and organize your thoughts and ideas. Draw to explain. Draw to grasp.
- poloclub/awesome-grad-school - 🎓 Advice and resources for thriving and surviving graduate school
- jrieke/best-of-streamlit - 🏆 A ranked gallery of awesome streamlit apps built by the community
- d0r1h/ML-University - Machine Learning Open Source University
- JunMa11/MICCAI-OpenSourcePapers - MICCAI 2020 Open Source Papers
- phylotastic/phylo_services_docs - OWL, WSDL, Semantics
- kinredon/DA_Detection_Material - A Collection of Domain Adaptation for Object Detection Material
- Openning07/awesome-curriculum-learning - some bravo or inspiring research works on the topic of curriculum learning
- XueFuzhao/awesome-mixture-of-experts - A collection of AWESOME things about mixture-of-experts
- zhoudw-zdw/Awesome-Few-Shot-Class-Incremental-Learning - Awesome Few-Shot Class-Incremental Learning
- VisionLearningGroup/CORAL - Correlation Alignment for Domain Adaptation
- Guang000/Awesome-Dataset-Distillation - Awesome Dataset Distillation Papers
- weijiaheng/Advances-in-Label-Noise-Learning - A curated (most recent) list of resources for Learning with Noisy Labels
- ChristosChristofidis/awesome-deep-learning - A curated list of awesome Deep Learning tutorials, projects and communities.
- dangkhoasdc/awesome-ai-residency - List of AI Residency Programs
- kdeldycke/awesome-falsehood - 😱 Falsehoods Programmers Believe in
- craffel/dl3d-seminar - Course webpage for COMP 790, (Deep) Learning from Limited Labeled Data
- nashory/gans-awesome-applications - Curated list of awesome GAN applications and demo
- BoltzmannEntropy/interviews.ai - It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers
- microsoft/NUWA - A unified 3D Transformer Pipeline for visual synthesis
- haozhangcn/paper-computer-vision - Computer vision papers
- kemaloksuz/ObjectDetectionImbalance - Lists the papers related to imbalance problems in object detection [TPAMI]
- kivanctezoren/ceng350-notes - Notes for METU course CENG350 until Chapter 12
- yzhuoning/Awesome-CLIP - Awesome list for research on CLIP (Contrastive Language-Image Pre-Training).
- Agrover112/awesome-semantic-search - A curated list of awesome resources related to Semantic Search🔎 and Semantic Similarity tasks.
- globalsynchronizer/annotations - This repository provides access to human labeled datasets for training classifiers.
- prakhar1989/awesome-courses - 📚 List of awesome university courses for learning Computer Science!
- ucasligang/awesome-Diffusion - Reading list for research topics in Diffusion models.
- Tianguistengo/MLexperiments-research-computervision-climatechange - Machine Learning experiments and research
- yfzhang114/Generalization-Causality - 关于domain generalization,domain adaptation,causality,robutness,prompt,optimization,generative model各式各样研究的阅读笔记
- maja601/EuroCrops - The official repository for the EuroCrops dataset.
- carlosperate/awesome-pyproject - An Awesome List of projects using the pyproject.toml Python configuration file.
- chanakaudaya/solution-architecture-patterns - Reusable, vendor-neutral, industry-specific, vendor-specific solution architecture patterns for enterprise
- baifanxxx/awesome-active-learning - A curated list of awesome Active Learning
- daviddao/awful-ai - 😈Awful AI is a curated list to track current scary usages of AI - hoping to raise awareness
- brettkromkamp/awesome-knowledge-management - A curated list of amazingly awesome articles, people, applications, software libraries and projects related to the knowledge management space
- kuchin/awesome-cto - A curated and opinionated list of resources for Chief Technology Officers, with the emphasis on startups
- ydataai/awesome-data-centric-ai - Data Centric AI resources
- matiassingers/awesome-readme - A curated list of awesome READMEs
- lukehsiao/ee_quals - 📚 Resources and guide for preparing for Stanford's electrical engineering qualification exams.
- giswqs/Awesome-GEE - A curated list of Google Earth Engine resources
- sacridini/Awesome-Geospatial - Long list of geospatial tools and resources
- px39n/Awesome-Data-Fusion-for-Remote-Sensing -
- Stomach-ache/awesome-long-tail-learning -
- pliang279/awesome-multimodal-ml - Reading list for research topics in multimodal machine learning
- zhoushengisnoob/DeepClustering - Methods and Implements of Deep Clustering
- SHI-Labs/Agriculture-Vision - [CVPR 2020 & 2021 & 2022] Agriculture-Vision Dataset, Prize Challenge and Workshop: A joint effort with many great collaborators to bring Agriculture and Computer Vision/AI communities together to ben
- pratikkayal/PlantDoc-Dataset - Dataset used in "PlantDoc: A Dataset for Visual Plant Disease Detection" accepted in CODS-COMAD 2020
- EDSEL-skoltech/awesome_crop_models - 🌾🌽 Awesome lists about all crop simulation models
- NielsRogge/diffusion-notes - Some notes I took when learning about diffusion models.
- spencerpauly/awesome-notion - A curated list of awesome Notion related things.
- cxli233/FriendsDontLetFriends - Friends don't let friends make certain types of data visualization - What are they and why are they bad.
- cxli233/customized_upset_plots - Make customized upset plots: from raw data to plots
- sindresorhus/awesome-scifi - Sci-Fi worth consuming
- RichardLitt/awesome-fantasy - 🏰 Fantasy literature worth reading
- JasonZhang156/awesome-mixed-sample-data-augmentation - A collection of awesome things about mixed sample data augmentation
- weihaox/awesome-neural-rendering - A collection of resources on neural rendering.
- heejkoo/Awesome-Diffusion-Models - A collection of resources and papers on Diffusion Models and Score-based Models, a darkhorse in the field of Generative Models
- ConstantPark/DL_Compiler - Study Group of Deep Learning Compiler
- gjy3035/Awesome-Crowd-Counting - Awesome Crowd Counting
- vsitzmann/awesome-implicit-representations - A curated list of resources on implicit neural representations.
- msaroufim/ml-design-patterns - Software Architecture for ML engineers
- sbharadwajj/awesome-zero-shot-learning - A curated list of papers, code and resources pertaining to zero shot learning
- r-wenger/land-use-land-cover-datasets - List of datasets and codes for remote sensing LULC applications.
- n2cholas/awesome-jax - JAX - A curated list of resources https://github.com/google/jax
- weihaox/awesome-image-translation - A collection of awesome resources image-to-image translation.
- GuanRunwei/Awesome-Vision-Transformer-Collection - Variants of Vision Transformer and its downstream tasks
- dev-sungman/Awesome-Self-Supervised-Papers - Paper bank for Self-Supervised Learning
- zhjohnchan/awesome-image-captioning - A curated list of image captioning and related area resources. :-)
- pliang279/awesome-phd-advice - Collection of advice for prospective and current PhD students
- WingkeungM/Awesome-Few-Shot-Semantic-Segmentation - Collect some papers about few shot semantic segmentation.
- Paranioar/Cross-modal_Retrieval_Tutorial - The Paper List of Cross-Modal Matching for Preliminary Insight.
- jackguagua/awesome-nas-papers - Awesome Neural Architecture Search Papers
- wangyongjie-ntu/Awesome-explainable-AI - A collection of research materials on explainable AI/ML
- microsoft/PlanetaryComputer - Issues, discussions, and information about the Microsoft Planetary Computer
- NirantK/awesome-project-ideas - Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
- wgcban/CD-SOTA-methods - Remote sensing change detection: state of the art methods and datasets
- jtleek/datasharing - The Leek group guide to data sharing
- kjw0612/awesome-deep-vision - A curated list of deep learning resources for computer vision
- zzw-zwzhang/Awesome-of-Long-Tailed-Recognition - A curated list of long-tailed recognition resources.
- simonMadec/awesome-phenotyping-deep-learning - awesome deep learning for field phenotyping
- trimstray/the-book-of-secret-knowledge - A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.
- heartexlabs/awesome-data-labeling - A curated list of awesome data labeling tools
- tyjiang1997/awesome-Automanous-3D-detection-methods -
- haofanwang/awesome-mlp-papers - Recent Advances in MLP-based Models (MLP is all you need!)
- dk-liang/Awesome-Visual-Transformer - Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)
- weiaicunzai/awesome-image-classification - A curated list of deep learning image classification papers and codes
- IDEACVR/awesome-detection-transformer - Collect some papers about transformer for detection and segmentation. Awesome Detection Transformer for Computer Vision (CV)
- qdrant/awesome-metric-learning - 😎 A curated list of awesome practical Metric Learning and its applications
- brycejohnston/awesome-agriculture - Open source technology for agriculture, farming, and gardening
- DirtyHarryLYL/Transformer-in-Vision - Recent Transformer-based CV and related works.
- Yangzhangcst/Transformer-in-Computer-Vision - A paper list of some recent Transformer-based CV works.
- cmhungsteve/Awesome-Transformer-Attention - An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
- yassouali/ML-paper-notes - 📓 Notes and summaries of various ML, Computer Vision & NLP papers.
- Manchery/awesome-multi-task-learning - 2022 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.
- WeiHongLee/Awesome-Multi-Task-Learning - An up-to-date list of works on Multi-Task Learning
- SimonVandenhende/Awesome-Multi-Task-Learning - A list of multi-task learning papers and projects.
- jason718/awesome-self-supervised-learning - A curated list of awesome self-supervised methods
- quanghuy0497/Transformers4Vision - A summarization of Transformer-based architectures for CV tasks, including image classification, object detection, segmentation, and Few-shot Learning. Keep updated frequently.
- summerscope/mapping-fair-ml - 😇A curated list of links and resources for Fair ML and Data Ethics
- tmux-plugins/list - A list of tmux plugins.
- JosephKJ/Awesome-Novel-Class-Discovery - A list of papers that studies Novel Class Discovery
- automl/awesome-transformer-search - A curated list of awesome resources combining Transformers with Neural Architecture Search
- mtdvio/every-programmer-should-know - A collection of (mostly) technical things every software developer should know about
- Vision-Intelligence-and-Robots-Group/Best-Incremental-Learning - An Incremental Learning, Continual Learning, and Life-Long Learning Repository
- rom1504/awesome-semantic-search - Semantic search with embeddings: index anything
- ZuzooVn/machine-learning-for-software-engineers - A complete daily plan for studying to become a machine learning engineer.
- caufieldjh/awesome-bioie - 🧫 A curated list of resources relevant to doing Biomedical Information Extraction (including BioNLP)
- soumith/ganhacks - starter from "How to Train a GAN?" at NIPS2016
- gpakosz/.tmux - 🇫🇷 Oh my tmux! My self-contained, pretty & versatile tmux configuration made with ❤️
- AakashKumarNain/annotated_research_papers - This repo contains annotated research papers that I found really good and useful
- JackMcKew/awesome-python-bytes - 😎 🐍 Awesome lists about Python Bytes https://pythonbytes.fm/
- burhr2/ubd-herbarium-repository - This repo consist of computer vision and machine learning research projects for UBD-herbarium including the dataset used.
- peterdalle/mediacommtools - Tools/resources for journalism, media, communication, computational social science
- hugo53/awesome-RemoteWork - Resources for remote workers: approaches, hiring page, remote life and more.
- DataHerb/dataherb-flora - DataHerb Flora: The core of DataHerb
- MengtingWan/bittersweet-phd - useful technical tips I wish I knew earlier in my phd life (latex, python/R visualization, web crawling/scraping, etc.)
- asheeshcric/awesome-contrastive-self-supervised-learning - A comprehensive list of awesome contrastive self-supervised learning papers.
- vasiloglou/EcoPaDL - Workshop page for Economics of Privacy and Data Labor
- daviddao/code-against-climate-change - 🌏 A curated list of tech projects against climate change - hoping to inspire disruptive technological climate action!
- blutjens/awesome-forests - 🌳 A curated list of ground-truth forest datasets for the machine learning and forestry community.
- daviddao/awesome-data-valuation - 💱 A curated list of data valuation (DV) to design your next data marketplace
- nightonion/yosemite-tree-dataset - A benchmark dataset for tree counting from aerial images
- guanh01/CS692-mlsys - This is the (evolving) reading list for the seminar.
- valeman/awesome-conformal-prediction - A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD theses, articles and open-source libraries.
- nostr-protocol/nostr - a truly censorship-resistant alternative to Twitter that has a chance of working
- CYHSM/awesome-neuro-ai-papers - Papers from the intersection of deep learning and neuroscience
- emmabostian/developer-portfolios - A list of developer portfolios for your inspiration
- yaelwrites/Big-Ass-Data-Broker-Opt-Out-List -
- nestordemeure/fastai-extensions-repository - A list of extensions for the fastai library.
- macoj/phd - A list of resources on how/why to do a PhD
- eugeneyan/ml-design-docs - 📄 Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)
- hassony2/useful-computer-vision-phd-resources - Lists of resources useful for my PhD in computer vision
- cvl-umass/semi-inat-2021 - Semi-Supervised Fine-Grained Recognition Challenge at FGVC8
- redecentralize/alternative-internet - A collection of interesting new networks and tech aiming at decentralisation (in some form).
- erdiolmezogullari/ml-projects - ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python
- dmvaldman/library - 📚 Papers and essays I find timeless
- antofuller/ml_commentary - Notes and summaries of machine learning papers.
- amber0309/Domain-generalization - All about domain generalization
- JRMeyer/markdown-datasheet-for-datasets - Markdown template for Dataseets for Datasets
- barebell/DA - Unsupervised Domain Adaptation Papers and Code
- reHackable/awesome-reMarkable - A curated list of projects related to the reMarkable tablet
- dslp/dslp - The Data Science Lifecycle Process is a process for taking data science teams from Idea to Value repeatedly and sustainably. The process is documented in this repo.
- G-khan/the-software-engineer-library - It is a library of books that every software engineer/developer should be aware of.
- hwayne/awesome-cold-showers - For when people get too hyped up about things
- chrieke/awesome-satellite-imagery-datasets - 🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
- yassouali/awesome-semi-supervised-learning - 😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
- dair-ai/awesome-ML-projects-guide - A guide to building awesome machine learning projects.
- dair-ai/awesome-research-proposals-guide - A guide to improve your research proposals.
- dair-ai/ml-visuals - 🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
- prathyvsh/Illustrated-Primers - Books that makes heavy use of visuals for scientific communication
- jbhuang0604/awesome-computer-vision - A curated list of awesome computer vision resources
- shaypal5/awesome-twitter-data - A list of Twitter datasets and related resources.
- shamangary/awesome-local-global-descriptor - My personal note about local and global descriptor
- oneTaken/Awesome-Denoise - One-paper-one-short-contribution-summary of all latest image/burst/video Denoising papers with code & citation published in top conference and journal.
- maziarraissi/Applied-Deep-Learning - Applied Deep Learning Course
- AgaMiko/data-augmentation-review - List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.
- jbhuang0604/awesome-tips -
- ashishpatel26/Tools-to-Design-or-Visualize-Architecture-of-Neural-Network - Tools to Design or Visualize Architecture of Neural Network
- statebox/awesome-applied-ct - ACT community resources
- lorin/booknotes - Notes about books I've read
- Fernerkundung/awesome-sentinel - curated list of awesome tools, tutorials and APIs for Copernicus Sentinel satellite data
- ixaxaar/awesome-engineering-management - Pointers and tools for learning and day-to-day practice of engineering management & leadership.
- ByeongGil-Jung/PytorchLightning-Project-Template - Pytorch Lightning Project Template
- artix41/awesome-transfer-learning - Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
- mbs0221/Multitask-Learning - Awesome Multitask Learning Resources
- bgavran/Category_Theory_Machine_Learning - List of papers studying machine learning through the lens of category theory
- matheusfelipeog/beautiful-docs - Pointers to useful, well-written, and otherwise beautiful documentation.
- EbookFoundation/free-programming-books - 📚 Freely available programming books
- dvgodoy/dl-visuals - Over 200 figures and diagrams of the most popular deep learning architectures and layers FREE TO USE in your blog posts, slides, presentations, or papers.
- freereadorg/awesome-libgen - 😎 Awesome list of Library Genesis, the world's largest free library.
- robmarkcole/satellite-image-deep-learning - Resources for deep learning with satellite & aerial imagery
- othneildrew/Best-README-Template - An awesome README template to jumpstart your projects!
- ZhiningLiu1998/awesome-imbalanced-learning - Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切:论文、代码、框架与库
- sdras/awesome-actions - A curated list of awesome actions to use on GitHub
- davidrpugh/jupytercon-2020-talk - Repository of materials for my JupyterCon 2020 talk
- mrdrozdov-github/rabbit-holes -
- ritchieng/the-incredible-pytorch - The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
- binhnguyennus/awesome-scalability - The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
- wbkd/awesome-d3 - A list of D3 libraries, plugins and utilities
- iCGY96/awesome_OpenSetRecognition_list - A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition
- NAalytics/Assemblies-of-putative-SARS-CoV2-spike-encoding-mRNA-sequences-for-vaccines-BNT-162b2-and-mRNA-1273 - RNA vaccines have become a key tool in moving forward through the challenges raised both in the current pandemic and in numerous other public health and medical challenges. With the rollout of vaccin
- srush/awesome-ml-tracking -
- mercari/ml-system-design-pattern - System design patterns for machine learning
- subeeshvasu/Awesome-Learning-with-Label-Noise - A curated list of resources for Learning with Noisy Labels
- SE-ML/awesome-seml - A curated list of articles that cover the software engineering best practices for building machine learning applications.
- tBaxter/questions-for-employers - A big collection of useful questions to ask potential employers.
- Developer-Y/cs-video-courses - List of Computer Science courses with video lectures.
- florinpop17/app-ideas - A Collection of application ideas which can be used to improve your coding skills.
- dypsilon/frontend-dev-bookmarks - Manually curated collection of resources for frontend web developers.
- bharathgs/Awesome-pytorch-list - A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
- hibayesian/awesome-automl-papers - A curated list of automated machine learning papers, articles, tutorials, slides and projects
- gorkemalgan/deep_learning_with_noisy_labels_literature - This repo consists of collection of papers and repos on the topic of deep learning by noisy labels / label noise.
- ivanreese/visual-programming-codex - Waypoints to the past and future of visual programming.
- ml-tooling/best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
- k-qy/notation - Collection of quotes on notation design & how it affects thought.
- jimtyhurst/annotated_bibliography - Brief notes that help me remember the details of technical papers that I have read.
- chobeat/awesome-critical-tech-reading-list - A reading list for the modern critical programmer
- mjhea0/awesome-fastapi - A curated list of awesome things related to FastAPI
- dkhamsing/open-source-ios-apps - 📱 Collaborative List of Open-Source iOS Apps
- jasonwebb/morphogenesis-resources - Comprehensive list of resources on the topic of digital morphogenesis (the creation of form through code). Includes links to major articles, code repos, creative projects, books, software, and more.
- xialeiliu/Awesome-Incremental-Learning - Awesome Incremental Learning
- javierluraschi/awesome-dataviz - 📈 A curated list of awesome data visualization libraries and resources.
- zhoubolei/awesome-generative-modeling - Bolei's archive on generative modeling
- DovAmir/awesome-design-patterns - A curated list of software and architecture related design patterns.
- alirezadir/Production-Level-Deep-Learning - A guideline for building practical production-level deep learning systems to be deployed in real world applications.
- eugeneyan/applied-ml - 📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
- DataSystemsGroupUT/AutoML_Survey -
- dipakkr/A-to-Z-Resources-for-Students - ✅ Curated list of resources for college students
- EthicalML/awesome-production-machine-learning - A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
- luspr/awesome-ml-courses - Awesome free machine learning and AI courses with video lectures.
- amitness/learning - A log of things I'm learning
- MSiam/Few-Shot-Learning -
- prathyvsh/formal-systems-in-biology - Application of formal systems to model biological systems
- mbeaudru/modern-js-cheatsheet - Cheatsheet for the JavaScript knowledge you will frequently encounter in modern projects.
- roam-unofficial/awesome-roam - A curated list of https://roamresearch.com/ resources
- mmcgrana/services-engineering - A reading list for services engineering, with a focus on cloud infrastructure services
- visenger/awesome-mlops - A curated list of references for MLOps
- codecrafters-io/build-your-own-x - Master programming by recreating your favorite technologies from scratch.
- lorin/cognitive-systems-engineering -
- zhaoxin94/awesome-domain-adaptation - A collection of AWESOME things about domian adaptation
- ysh329/deep-learning-model-convertor - The convertor/conversion of deep learning models for different deep learning frameworks/softwares.
- pawl/awesome-etl - A curated list of awesome ETL frameworks, libraries, and software.
- pditommaso/awesome-pipeline - A curated list of awesome pipeline toolkits inspired by Awesome Sysadmin
- rednafi/pysanity - Opinionated coding guidelines and best practices in Python
- lorin/messiness - Messiness reading list
- lorin/systems-thinking - Overview of different schools of systems thinking
- sindresorhus/awesome - 😎 Awesome lists about all kinds of interesting topics
- kailashahirwar/cheatsheets-ai - Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
- andkret/Cookbook - The Data Engineering Cookbook
- openMVG/awesome_3DReconstruction_list - A curated list of papers & resources linked to 3D reconstruction from images.
- dformoso/machine-learning-mindmap - A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.
- spMohanty/PlantVillage-Dataset - Dataset of diseased plant leaf images and corresponding labels
- hridaydutta123/awesome-twitter-tools - A curated list of awesome twitter tools
- kirang89/pycrumbs - Bits and bytes of Python from the Internet
- electerious/Lychee - A great looking and easy-to-use photo-management-system you can run on your server, to manage and share photos.
- monicahq/monica - Personal CRM. Remember everything about your friends, family and business relationships.
- NBISweden/AGAT - Another Gtf/Gff Analysis Toolkit
- robbiebarrat/plant-art - Guid to help you make generative art using the electrical activity in plants 🎨🌱
- jaym910/polyphonic_track - Polyphonic pitch tracking in real time using machine learning algorithms implemented in Python and an audio engine using Pure Data. Note tracking data is converted to MIDI and can be sent to DAWs, mid
- kiedanski/dataloader-benchmarks -
- dedupeio/dedupe - 🆔 A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.
- acmi-lab/Open-Set-Label-Shift - Code and results accompanying our paper titled Domain Adaptation under Open Set Label Shift
- python-desert/desert - Deserialize to objects while staying DRY
- lucidrains/x-clip - A concise but complete implementation of CLIP with various experimental improvements from recent papers
- XiSHEN0220/SSR - (NeurIPS 2021) Pytorch implementation of paper "Re-ranking for image retrieval and transductive few-shot classification"
- mehdidc/feed_forward_vqgan_clip - Feed forward VQGAN-CLIP model, where the goal is to eliminate the need for optimizing the latent space of VQGAN for each input prompt
- RianneSchouten/pyampute - Missing data amputation and exploration functions for Python
- dgriffiths3/ml_segmentation - Machine learning semantic segmentation - Random Forest, SVM, GBC
- dgriffiths3/vegetation_autoencoder - Auto-encoder for vegetation classification.
- dobraczka/kiez - Hubness reduced nearest neighbor search for entity alignment with knowledge graph embeddings
- mboudiaf/pytorch-meta-dataset - A non-official 100% PyTorch implementation of META-DATASET benchmark for few-shot classification
- lona-web-org/lona - Write responsive web apps in full python
- ktrueda/parquet-tools - easy install parquet-tools
- QData/C-Tran - General Multi-label Image Classification with Transformers
- TomSchimansky/GuitarTuner - Guitar tuner program made with Python, Tkinter and PyAudio.
- TommasoBarberis/Diversite-phylogenetique-de-l-assiette-au-jardin -
- bfortuner/labelml - Machine Learning Image Annotation Tool
- heartexlabs/labelImg - 🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images
- dylan-profiler/visions - Type System for Data Analysis in Python
- PyWorkflowApp/visual-programming - A Python Visual Programming Workspace for Data Science
- mjpieters/aiolimiter - An efficient implementation of a rate limiter for asyncio.
- alkasm/colorfilters - Image thresholding in multiple colorspaces.
- bmsan/DictGest - Python Dictionary Ingestion Made Easy - Load & convert dictionary Data into python Classes and Dataclasses
- bmsan/codestamper - CodeStamper - code & environment traceability for ML experiments
- LirongWu/GCML - Code for WACV 2022 paper "Generalized Clustering and Multi-Manifold Learning with Geometric Structure Preservation"
- akdemirlab/HiCPlotter - “When everything is connected to everything else, for better or worse, everything matters.” Bruce Mau
- FlyRanch/figurefirst - A layout-first approach to figure making
- quantopian/qgrid - An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks
- msbentsen/plotannot - A small python library to adjust and annotate axis ticklabels in plots.
- astrofrog/mpl-scatter-density - ⚡ Fast scatter density plots for Matplotlib ⚡
- julienperichon/image-annotation-helper -
- blue-season/pywarm - A cleaner way to build neural networks for PyTorch.
- alan-turing-institute/distinctipy - A lightweight package for generating visually distinct colours.
- coleifer/walrus - Lightweight Python utilities for working with Redis
- ebennequin/FewShotVision - Code for Master research internship report : https://arxiv.org/abs/1909.13579
- hanjinliu/tabulous - A table data viewer for Python
- dabeaz/curio - Good Curio!
- alkasm/magicwand - A Python+OpenCV implementation similar to Adobe Photoshop's magic wand selection tool.
- romainloiseau/HelixNet - Toolbox for HelixNet, a dataset presented in the "Online Segmentation of LiDAR Sequences: Dataset and Algorithm" paper
- sameerkumar18/pyaztro - Python Wrapper for aztro - The Astrology API | Get Daily Horoscope 💫
- yzhao062/combo - (AAAI' 20) A Python Toolbox for Machine Learning Model Combination
- wheerd/multiset - A multiset implementation for python
- Nikolay-Lysenko/dsawl - A set of tools for machine learning (for the current day, there are active learning utilities and implementations of some stacking-based techniques).
- napari/app-model - Generic application schema implemented in python.
- nicoddemus/qt-async-threads - Use convenient async/await syntax to spawn threads in Qt applications
- julienperichon/vgg16-transfer-learning -
- ebennequin/few-shot-open-set - Implementation of Model-Agnostic Few-Shot Open-Set Recognition
- LukasHedegaard/continual-inference - Building blocks for Continual Inference Networks in PyTorch
- koaning/simsity - Super Simple Similarities Service
- Kasra2020/MS2A-Net -
-
kkhoot/PAA - A PyTorch implementation of the paper
Probabilistic Anchor Assignment with IoU Prediction for Object Detection
ECCV 2020 (https://arxiv.org/abs/2007.08103) - nateraw/lightning-vision-transformer - 🖼 + 🤖 = 🧠
- Zsailer/pandas_flavor - The easy way to write your own flavor of Pandas
- jmpinit/github_stars_to_notion - Sync GitHub stars to a Notion table
- nateraw/huggingface-datasets-converter - Scripts to convert datasets from various sources to Hugging Face Datasets.
- OatmealLiu/DGLN-model-for-Person-Re-ID-with-frozen-learning - A parallel CNN architecture - Discriminative-Global- Local Network (DGLN) to exploit both the discriminative structural information at global scope and the discriminative human-introduced local infomr
- belskikh/kekas - Just another DL library
- benedekrozemberczki/awesome-gradient-boosting-papers - A curated list of gradient boosting research papers with implementations.
- iamVarunAnand/image_classification - Pushing CIFAR-10 SOTA using ResNets.
- weecology/retriever - Quickly download, clean up, and install public datasets into a database management system
- JustinGoheen/lightning-pod - A Deep Learning Research Template
- bw2/ConfigArgParse - A drop-in replacement for argparse that allows options to also be set via config files and/or environment variables.
- alexander-akhmetov/python-shortcuts - Create Siri Shortcuts with Python
- rmislam/PythonSIFT - A clean and concise Python implementation of SIFT (Scale-Invariant Feature Transform)
- koaning/bulk -
- PengtaoJiang/L2G - The PyTorch Code for our CVPR 2022 paper "L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic Segmentation"
- openvinotoolkit/anomalib - An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
- snap-stanford/bc-emb -
- webdataset/webdataset-lightning - A small demonstration of using WebDataset with ImageNet and PyTorch Lightning
- JingZhang617/Scribble_Saliency - Weakly-Supervised Salient Object Detection via Scribble Annotations, CVPR2020
- prateekralhan/Streamlit-based-Duplicate-Images-Finder - A streamlit based webapp to find duplicate images from single/multiple directories.
- widgetti/react-ipywidgets - React for ipywidgets
- firmai/pandasvault - Advanced Pandas Vault — Utilities, Functions and Snippets (by @firmai).
- KushajveerSingh/resize_network_cv - PyTorch implementation of the paper "Learning to Resize Images for Computer Vision Tasks" on Imagenette and Imagewoof datasets
- MathInf/toroidal - a lightweight transformer library for PyTorch
- elisemercury/Duplicate-Image-Finder - difPy - Python package for finding duplicate or similar images within folders
- yzhao062/anomaly-detection-resources - Anomaly detection related books, papers, videos, and toolboxes
- yzhao062/pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
- HsinYingLee/DRIT - Learning diverse image-to-image translation from unpaired data
- hanhung/Creating-Audio-Reactive-Visuals-With-StyleGAN - DeepVJ
- Narsil/safetensors -
- nateraw/huggingface-vit-finetune - Finetune Google's pre-trained ViT models from HuggingFace's model hub.
- nateraw/huggingface-image-datasets - Learn how to share Image datasets on Huggingface's Hub.
- nateraw/huggingface-detr-finetune -
- nateraw/spotify-pedalboard-demo - 🚧 WIP Streamlit Demo of Spotify's Pedalboard 🚧
- nateraw/vision-datasets-viewer -
- HighCWu/beat-interpolator - Interpolate the latents of your DL model to follow the beat of the music
- leolyj/SAN-SAW - This is the code related to "Semantic-Aware Domain Generalized Segmentation" (CVPR 2022)
- the-lay/tiler - N-dimensional NumPy array tiling and merging with overlapping, padding and tapering
- dennisbakhuis/pigeonXT - 🐦 Quickly annotate data from the comfort of your Jupyter notebook
- bczsalba/pytermgui - Python TUI framework with mouse support, modular widget system, customizable and rapid terminal markup language and more!
- saic-vul/ritm_interactive_segmentation - Reviving Iterative Training with Mask Guidance for Interactive Segmentation
- saulpw/unzip-http - Extract individual files from .zip files over http without downloading the entire archive.
- Lightning-AI/lightning-hpo -
- orchest/orchest - Build data pipelines, the easy way 🛠️
- tensorwerk/hangar-py - Hangar is version control for tensor data. Commit, branch, merge, revert, and collaborate in the data-defined software era.
- qnzhou/Mosaic - Simple greedy image packing
- fastai/imagenet-fast -
- facebookresearch/directclr - Code used in "Understanding Dimensional Collapse in Contrastive Self-supervised Learning" paper.
- M4xim4l/InNOutRobustness - Adversarial Robustness on In- and Out-Distribution Improves Explainability
- JacksonWuxs/DaPy - Easy-to-use data analysis / manipulation framework for humans
- shenyan233/machine_learning_template - This project implements the neural network training and testing pipeline based on PyTorch Lightning.
- BIT-DA/GDCAN - [TPAMI 2021] Code release for "Generalized Domain Conditioned Adaptation Network" https://arxiv.org/abs/2103.12339
- yandex-research/ddpm-segmentation - Label-Efficient Semantic Segmentation with Diffusion Models (ICLR'2022)
- alibaba/EasyParallelLibrary - Easy Parallel Library (EPL) is a general and efficient deep learning framework for distributed model training.
- pietrolesci/energizer - An active learning library for Pytorch based on Pytorch-Lightning.
- andreycizov/python-protobuf-gen - protobuf typed binding generator for python
- coady/waiter - Delayed iteration for polling and retries.
- ameliajimenez/curriculum-learning-prior-uncertainty - Curriculum learning for improved femur fracture classification: scheduling data with prior knowledge and uncertainty. Medical Image Analysis.
- vtrokhymenko/dst - yet another custom data science template via cookiecutter
- cvlab-epfl/LabelGrab - Annotation tool for semantic and instance segmentation, with automated help from the GrabCut implemented in OpenCV.
- ivanpanshin/SupCon-Framework - Implementation of Supervised Contrastive Learning with AMP, EMA, SWA, and many other tricks
- sb-ai-lab/LightAutoML - Fast and customizable framework for automatic ML model creation (AutoML)
- floringogianu/pytorch-sanity-check - A collection of models following pytorch examples for testing new machines.
- zhisbug/ray-scalable-ml-design - Some microbenchmarks and design docs before commencement
- venkatkollimarla/tf-keras-with-mlflow -
- windxrz/independence-driven-IW - Source code for ICML 2022 paper "A Theoretical Analysis on Independence-driven Importance Weighting for Covariate-shift Generalization".
- ray-project/ray_lightning - Pytorch Lightning Distributed Accelerators using Ray
- ryantd/veloce - WIP. Veloce is a low-code Ray-based parallelization library that makes machine learning computation novel, efficient, and heterogeneous.
- lucidmode/lucidmode - A Lucid Framework for Transparent and Interpretable Machine Learning Models.
- dssresearch/GLISTER -
- ZF4444/MMAL-Net - This is a PyTorch implementation of the paper "Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual Categorization (MMAL-Net)" (Fan Zhang, Meng Li, Guisheng Zhai, Yizhao Liu).
- microsoft/DynamicHead -
- genforce/ghfeat - [CVPR 2021] Generative Hierarchical Features from Synthesizing Images
- Beckschen/TransMix - This repository includes the official project for the paper: TransMix: Attend to Mix for Vision Transformers. (CVPR2022)
- jni/viridis - A tree library for Python
- ShawnXYang/C-GSP -
- microsoft/Cream - This is a collection of our NAS and Vision Transformer work.
- kakaobrain/scrl - PyTorch Implementation of Spatially Consistent Representation Learning(SCRL)
- WXinlong/DenseCL - Dense Contrastive Learning (DenseCL) for self-supervised representation learning, CVPR 2021 Oral.
- openalea/lpy - An open source python version of the Lindenmayer Systems.
- Parsl/parsl - Parsl - a Python parallel scripting library
- wbwvos/pidgey - 🐦 Quickly annotate data from the comfort of your Jupyter notebook
- redis-collections/redis-collections - Set of basic Python collections backed by Redis
- seanfhear/tab-scraper - Interface for downloading guitar tabs from Ultimate Guitar
- Cornerstone-OnDemand/modelkit - Toolkit for developing and maintaining ML models
- roysubhankar/dwt-domain-adaptation - Code for paper "Unsupervised Domain Adaptation using Feature-Whitening and Consensus Loss" (CVPR 2019)
- sangwoomo/FreezeD - Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs (CVPRW 2020)
- clovaai/tunit - Rethinking the Truly Unsupervised Image-to-Image Translation - Official PyTorch Implementation (ICCV 2021)
- cheind/pydantic-numpy - Seamlessly integrate numpy arrays into pydantic models.
- webrecorder/pywb - Core Python Web Archiving Toolkit for replay and recording of web archives
- Rhizome-Conifer/conifer - Collect and revisit web pages.
- nantu-io/ntcore - Deploy and Monitor ML Model in Any Cloud
- jgrss/spfeas - Spatial feature processing of satellite imagery
- VSainteuf/pytorch-psetae - PyTorch implementation of the model presented in "Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention"
- yannforget/landsatxplore - Search and download Landsat scenes from EarthExplorer.
- LEAF-BoiseState/janus - An object-oriented Agent Based Model for land use/land cover change and multisector dynamics
- scikit-learn-contrib/DESlib - A Python library for dynamic classifier and ensemble selection
- lucidrains/lambda-networks - Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute
- GRAAL-Research/poutyne - A simplified framework and utilities for PyTorch
- ml-tooling/opyrator - 🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.
- EpistasisLab/scikit-rebate - A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
- jrieke/traintool - 🔧 Train off-the-shelf machine learning models in one line of code
- tiangolo/asyncer - Asyncer, async and await, focused on developer experience.
- xyupeng/BETA - Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors
- jrieke/traingenerator - 🧙 A web app to generate template code for machine learning
- flennerhag/mlens - ML-Ensemble – high performance ensemble learning
- davanstrien/hugit-cli - push ImageFolder style image datasets to the 🤗 Hub from the command line
- clementchadebec/benchmark_VAE - Unifying Generative Autoencoder implementations in Python
- reiinakano/xcessiv - A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
- electricbrainio/hypermax - Better, faster hyper-parameter optimization
- LGE-ARC-AdvancedAI/auptimizer - An automatic ML model optimization tool.
- apple/ml-ane-transformers - Reference implementation of the Transformer architecture optimized for Apple Neural Engine (ANE)
- zju-vipa/spot-adaptive-pytorch -
- zhujiapeng/LowRankGAN - [NeurIPS 2021] Low-Rank Subspaces in GANs
- naver-ai/PfLayer - Learning Features with Parameter-Free Layers, ICLR 2022
- frgfm/torch-cam - Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)
- naver-ai/FSMR - Official Tensorflow implementation of "Feature Statistics Mixing Regularization for Generative Adversarial Networks" (CVPR 2022)
- chail/anyres-gan -
- naver-ai/GGDR - Official Pytorch implementation of GGDR (ECCV 2022)
- hichoe95/Rarity-Score - Rarity Score : A New Metric to Evaluate the Uncommonness of Synthesized Images
- naver-ai/mid.metric -
- adapter-hub/adapter-transformers - Huggingface Transformers + Adapters = ❤️
- simonw/datasette-render-images - Datasette plugin that renders binary blob images using data-uris
- RameenAbdal/Labels4Free - https://rameenabdal.github.io/Labels4Free/ (ICCV 2021)
- chr5tphr/zennit - Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.
- facebookresearch/detectron2 - Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
- NVlabs/A-ViT - Official PyTorch implementation of A-ViT: Adaptive Tokens for Efficient Vision Transformer (CVPR 2022)
- up42/image-similarity-measures - 📈 Implementation of eight evaluation metrics to access the similarity between two images. The eight metrics are as follows: RMSE, PSNR, SSIM, ISSM, FSIM, SRE, SAM, and UIQ.
- ProvenanceLabs/image-match - 🎇 Quickly search over billions of images
- jiequancui/ResLT - ResLT: Residual Learning for Long-tailed Recognition (TPAMI 2022)
- VICO-UoE/MTPSL - Learning Multiple Dense Prediction Tasks from Partially Annotated Data - CVPR 2022
- tding1/Neural-Collapse - [NeurIPS 2021] A Geometric Analysis of Neural Collapse with Unconstrained Features
- analysiscenter/batchflow - BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and machine learning workflows even for datasets that do not fit into memory.
- mara/mara-pipelines - A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow
- zhangxiaoyu11/OmiEmbed - Multi-task deep learning framework for multi-omics data analysis
- upgini/upgini - Free automated data enrichment library for machine learning → searches through thousands of ready-to-use features from public and community shared data sources
- towhee-io/towhee - Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
- DarlingHang/st-nerf - PyTorch implementations for our SIGGRAPH 2021 paper: Editable Free-viewpoint Video Using a Layered Neural Representation.
- nick11roberts/XD -
- mkhodak/relax -
- NVIDIAGameWorks/kaolin-wisp - NVIDIA Kaolin Wisp is a PyTorch library powered by NVIDIA Kaolin Core to work with neural fields (including NeRFs, NGLOD, instant-ngp and VQAD).
- jramapuram/datasets - Dataset Loaders
- xunge/pytorch_lmdb_imagenet - Use lmdb to speed up imagenet dataset
- MaxHalford/prince - 👑 Python factor analysis library (PCA, CA, MCA, MFA, FAMD)
- annoviko/pyclustering - pyclustering is a Python, C++ data mining library.
- JustGlowing/minisom - 🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps
- koaning/pytest-duration-insights - A mini dashboard to help find slow tests in pytest.
- hristo-vrigazov/py-import-tree - Analyzing the tree of imports of running Python code.
- pytorch/captum - Model interpretability and understanding for PyTorch
- shubham3121/laymon - A Python based library used to visualise features maps of a neural network.
- Jianf-Wang/RSG - A Pytorch implementation of CVPR 2021 paper "RSG: A Simple but Effective Module for Learning Imbalanced Datasets"
- muliyangm/ComEx - Code for ComEx (CVPR 2022)
- YiXXin/XCon - XCon: Learning with Experts for Fine-grained Category Discovery
- idom-team/idom - Create highly interactive web pages purely in Python
- fmthoker/SEVERE-BENCHMARK -
- castorini/pyserini - Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.
- Picsart-AI-Research/LIVE-Layerwise-Image-Vectorization - [CVPR 2022 Oral] Towards Layer-wise Image Vectorization
- gyli/PyWaffle - 🧇 Make Waffle Charts in Python.
- facebookresearch/distributed-faiss - A library for building and serving multi-node distributed faiss indices.
- adapt-python/adapt - Awesome Domain Adaptation Python Toolbox
- ideonate/streamlit-launchpad - Browse a folder containing multiple streamlit apps and launch them immediately
- P2333/SCORE - A Self-Consistent Robust Error (ICML 2022)
- WilhelmT/ClassMix -
- ryananguiano/async_property - Python decorator for async properties.
- zopefoundation/persistent - automatic persistence for Python objects
- ml-illustrated/mlillustrated_franks_ml_model -
- Ed-XCF/protobuf2pydantic - generate pydantic model by protobuf.pb2 file
- hernantz/classyconf - Declarative and extensible library for configuration & code separation
- coleifer/huey - a little task queue for python
- M-Nauta/ProtoTree - ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021
- dbrattli/aioreactive - Async/await reactive tools for Python 3.9+
- heavyai/heavyai - Python Data Science package for HeavyDB.
- Lyken17/Efficient-PyTorch - My best practice of training large dataset using PyTorch.
- cifkao/confugue - Hierarchical configuration framework for Python
- aliutkus/torchpercentile - Percentile computation for pytorch
- qinenergy/cotta - [CVPR 2022] CoTTA Code for our paper Continual Test-Time Domain Adaptation
- ahmedbesbes/dataset-builder - A script to help you quickly build custom computer vision datasets
- nasa/delta - Deep Learning for Satellite Imagery
- python-geeks/Automation-scripts - Repo for creating awesome automation scripts to make my panda lazier
- 2320sharon/PythonWLDtoCSV - Python app that extracts geolocation data from .xml .jpg and .wld files and writes to the generated CSV file.
- 2320sharon/NPZ_JSON_Converter - A small python application that converts npz files generated by a machine learning segmentation process into a json file.
- 2320sharon/Streamlit_Sniffer - A Streamlit app for sorting through imagery.
- 2320sharon/Streamlit_Image_Sorter - Generic Image Sorter Interface for Streamlit
- koushik-n/SSL_soy -
- sue02/Venn_Count_Matrix -
- more-itertools/more-itertools - More routines for operating on iterables, beyond itertools
- xyupeng/ContrastiveCrop - [CVPR 2022 Oral] Crafting Better Contrastive Views for Siamese Representation Learning
- RuntianZ/doro - Distributional and Outlier Robust Optimization (ICML 2021)
- nupurkmr9/S2M2_fewshot -
- ShuoYang-1998/Few_Shot_Distribution_Calibration - [ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration
- ManimCommunity/manim_editor - Web Presenter for Mathematical Animations using Manim.
- jermwatt/machine_learning_refined - Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).
- tstandley/taskgrouping - Code for Which Tasks Should Be Learned Together in Multi-task Learning?
- clovaai/AdamP - AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights (ICLR 2021)
- MediaBrain-SJTU/FACT -
- mathurinm/celer - Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.
- lblaoke/BTCP - PyTorch implementation of the preprint paper "Identifying Incorrect Classifications with Balanced Uncertainty"
- lblaoke/TLC -
- YudeWang/SEAM - Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation, CVPR 2020 (Oral)
- chenbinghui1/DSL - CVPR2022 paper "Dense Learning based Semi-Supervised Object Detection"
- YBZh/EFDM - Official PyTorch codes of CVPR2022 Oral: Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization
- BIT-DA/MetaSAug - [CVPR 2021] MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition
- OliverRensu/Shunted-Transformer -
- alibaba/lightweight-neural-architecture-search - This is a collection of our zero-cost NAS and efficient vision applications.
- BIT-DA/CIRL - [CVPR 2022 Oral] Code release for "Causality Inspired Representation Learning for Domain Generalization"
- PeixianChen/DFFT -
- fudan-zvg/SOFT - [NeurIPS 2021 Spotlight] SOFT: Softmax-free Transformer with Linear Complexity
- Fei-Long121/DeepBDC - The Pytorch code of "Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification", CVPR 2022 (Oral).
- Openning07/reciprocal-normalization-for-DA -
- tim-learn/BA3US - code for our ECCV 2020 paper "A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation"
- tim-learn/SHOT - code released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation"
- tim-learn/ATDOC - code released for our CVPR 2021 paper "Domain Adaptation with Auxiliary Target Domain-Oriented Classifier"
- smkim7-kr/AdaMatch-pytorch - Unofficial implementation of "AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation"
- sungyubkim/GBML - A collection of Gradient-Based Meta-Learning Algorithms with pytorch
- joey-wang123/Imbalancemeta - code for Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness (ICCV 2021)
- huang50213/AIM-Fewshot-Continual -
- zhoudw-zdw/CVPR21-Proser - The code repository for "Learning Placeholders for Open-Set Recognition" (CVPR21 Oral) in PyTorch.
- shiyuanh/TANE - Code Repository for "Task-Adaptive Negative Envision for Few-Shot Open-Set Recognition"
- HKUSTCV/FSS-1000 - FSS-1000, A 1000-class Dataset For Few-shot Segmentation
- baiksung/MeTAL - Official PyTorch implementation of "Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning" (ICCV2021 Oral)
- Han-Jia/UNICORN-MAML - PyTorch implementation of "How to Train Your MAML to Excel in Few-Shot Classification"
- boschresearch/what-matters-for-meta-learning - [CVPR 2022] What Matters For Meta-Learning Vision Regression Tasks?
- floodsung/LearningToCompare_FSL - PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)
- Tsingularity/FRN - (CVPR 2021) Few-Shot Classification with Feature Map Reconstruction Networks
- yue-zhongqi/ifsl - [NeurIPS 2020] Released code for Interventional Few-Shot Learning
- Crazy-Jack/MoCA_release - Official Implementation of MoCA
- ArmanAfrasiyabi/SetFeat-fs - Code for "Matching feature sets for few-shot image classification"-CVPR'2022.
- imtiazziko/LaplacianShot - Laplacian Regularized Few Shot Learning
- WangYueFt/rfs -
- gitabcworld/FewShotLearning - Pytorch implementation of the paper "Optimization as a Model for Few-Shot Learning"
- MLSysOps/ALaaS - A scalable & efficient active learning system for everyone.
- yaoyao-liu/meta-transfer-learning - TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)
- ejkim47/bridging-gap-wsol - Official code for "Bridging the Gap between Classification and Localization for Weakly Supervised Object Localization (CVPR 2022)"
- VisionLearningGroup/DA_Detection - Implementation of "Strong-Weak Distribution Alignment for Adaptive Object Detection"
- VisionLearningGroup/visda21-dev -
- VisionLearningGroup/OP_Match -
- VisionLearningGroup/SND -
- VisionLearningGroup/CDS - CDS: Cross-Domain Self-supervised Pre-training
- VisionLearningGroup/visda-2019-public -
- killiansheriff/LovelyPlots - Matplotlib style sheets to nicely format figures for scientific papers, thesis and presentations while keeping them fully editable in Adobe Illustrator.
- youweiliang/evit - Python code for ICLR 2022 spotlight paper EViT: Expediting Vision Transformers via Token Reorganizations
- facebookresearch/msn - Masked Siamese Networks for Label-Efficient Learning (https://arxiv.org/abs/2204.07141)
- bioinfoUQAM/Canadian-cropland-dataset - This repository houses a novel patch-based dataset compiled using optical satellite images of Canadian agricultural croplands retrieved from Sentinel-2.
- pdpipe/pdpipe - Easy pipelines for pandas DataFrames.
- jinhseo/OD-WSCL - [ECCV2022] Official Pytorch Implementation of Object Discovery via Contrastive Learning for Weakly Supervised Object Detection
- giswqs/streamlit-geospatial - A multi-page streamlit app for geospatial
- lauraset/Coarse-to-fine-weakly-supervised-GPC-segmentation -
- koushik-n/Active-Learning-Plant-Phenotyping -
- DarioFontanel/PAnS - Detecting Anomalies in Semantic Segmentation with Prototypes
- DarioFontanel/OWR-VisualDomains - On the Challenges of Open World Recognition under Shifting Visual Domains
- FrancescoCappio/OSHOT-meta-learning - Official implementation of https://arxiv.org/abs/2106.03496
- ArchipLab-LinfengZhang/contrastive-deep-supervision - Codes for ECCV2022 paper - contrastive deep supervision
- idealo/imagededup - 😎 Finding duplicate images made easy!
- huawei-noah/Pretrained-IPT -
- huawei-noah/Disout - Code for AAAI 2020 paper, Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks (Disout).
- RaRe-Technologies/bounter - Efficient Counter that uses a limited (bounded) amount of memory regardless of data size.
- salesforce/PCL - PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"
- salesforce/CoMatch - Code for CoMatch: Semi-supervised Learning with Contrastive Graph Regularization
- salesforce/MoPro - MoPro: Webly Supervised Learning
- phquang/DualNet -
- phquang/Contextual-Transformation-Network -
- GeorgeCazenavette/mtt-distillation - Official code for our CVPR '22 paper "Dataset Distillation by Matching Training Trajectories"
- google/vizier - Python-based research interface for blackbox and hyperparameter optimization, based on Google's internal Vizier Service.
- navdeep-G/setup.py - 📦 A Human's Ultimate Guide to setup.py.
- huggingface/diffusers - 🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
- google/TensorNetwork - A library for easy and efficient manipulation of tensor networks.
- FrancescoCappio/ReSeND - Official implementation of paper "Semantic Novelty Detection via Relational Reasoning"
- jeffbass/yin-yang-ranch - Distributed Computer Vision Software & Raspberry Pis to help manage a farm
- jeffbass/imagehub - Receive and save images from multiple Raspberry Pi's
- jeffbass/imagezmq - A set of Python classes that transport OpenCV images from one computer to another using PyZMQ messaging.
- ar-nowaczynski/loggify - Capture prints and tracebacks to a log file with 2 lines of code
- ar-nowaczynski/spaceopt - Hyperparameter optimization via gradient boosting regression
- automl/SMAC3 - Sequential Model-based Algorithm Configuration
- suhyeonlee/WildNet - Official PyTorch Implementation of WildNet: Learning Domain Generalized Semantic Segmentation from the Wild, CVPR 2022
- YuheD/ProxyMix -
- symanto-research/few-shot-learning-label-tuning - A few-shot learning method based on siamese networks.
- tata1661/FSL-Mate - FSL-Mate: A collection of resources for few-shot learning (FSL).
- juhongm999/dhpf - Official PyTorch Implementation of Dynamic Hyperpixel Flow, ECCV 2020
- taeyoungson/urie -
- alibaba/EasyCV - An all-in-one toolkit for computer vision
- cceyda/image-checker - Fast Image Integrity Checker: Scan for corrupted images using Nvidia DALI
- jbmouret/matplotlib_for_papers - Handout for the tutorial "Creating publication-quality figures with matplotlib"
- bbrattoli/JigsawPuzzlePytorch - Pytorch implementation of the method from the paper "Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles"
- LTH14/targeted-supcon -
- MediaBrain-SJTU/BCL - [ICML2022] Contrastive Learning with Boosted Memorization
- tvst/notionlit - Write Streamlit apps using Notion! (Prototype)
- Boyiliee/MoEx - MoEx (Moment Exchange)
- victorca25/augmennt - Augmentations for Neural Networks. Implementation of Torchvision's transforms using OpenCV and additional augmentations for super-resolution, restoration and image to image translation.
- xiaohua-chen/RISDA - Code for: Imagine by Reasoning: A Reasoning-Based Implicit Semantic Data Augmentation for Long-Tailed Classification
- chingyaoc/fair-mixup - ICLR 2021, Fair Mixup: Fairness via Interpolation
- 07Agarg/HIERMATCH - Code for the Paper HIERMATCH: Leveraging Label Hierarchies for Improving Semi-Supervised Learning, accepted in WACV 2022
- PyRetri/PyRetri - Open source deep learning based unsupervised image retrieval toolbox built on PyTorch🔥
- facebookresearch/suncet - Code to reproduce the results in the FAIR research papers "Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples" https://arxiv.org/abs/210
- yikun2019/PENCIL - PyTorch implementation of Probabilistic End-to-end Noise Correction for Learning with Noisy Labels, CVPR 2019.
- lilyht/CIL-MGRB -
- exnx/sift_similarity_score - Calculating similarity of two characters based on SIFT feature matching, with a local region correspondance constraint
- exnx/ffcv_transform_factory_randaug - a transform factory for FFCV and RandAugment
- Goldziher/pydantic-factories - Pydantic based mock data generation
- kivanctezoren/ccnn-uq-bootstrap - Implementation of the AAAI2021 paper Uncertainty Quantification in CNN Through the Bootstrap of Convex Neural Networks (Du et al.)
- hushell/pmf_cvpr22 -
- orobix/Prototypical-Networks-for-Few-shot-Learning-PyTorch - Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch
- tiangolo/full-stack-fastapi-postgresql - Full stack, modern web application generator. Using FastAPI, PostgreSQL as database, Docker, automatic HTTPS and more.
- neuml/txtai - 💡 Build AI-powered semantic search applications
- rusty1s/pytorch_scatter - PyTorch Extension Library of Optimized Scatter Operations
- cambridge-mlg/fit -
- kwotsin/mimicry - [CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.
- tjddus9597/STML-CVPR22 - Official PyTorch Implementation of Self-Taught Metric Learning without Labels, CVPR 2022
- megvii-research/BBN - The official PyTorch implementation of paper BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition
- apple/ml-data-parameters -
- prabhupant/python-ds - No non-sense and no BS repo for how data structure code should be in Python - simple and elegant.
- janosh/awesome-normalizing-flows - Awesome resources on normalizing flows.
- qubvel/segmentation_models.pytorch - Segmentation models with pretrained backbones. PyTorch.
- kivanctezoren/resize-n-save - Quick & dirty solution for resizing all images in a dataset
- IBM/fuse-med-ml - A python framework accelerating ML based discovery in the medical field by encouraging code reuse. Batteries included :)
- asrafulashiq/transfer_broad - Pytorch Code for "A Broad Study on the Transferability of Visual Representations with Contrastive Learning" (ICCV 2021)
- asrafulashiq/dynamic-cdfsl - Pytorch codes for NeurIPS 2021 paper titled "Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data".
- LoreGoetschalckx/GANalyze -
- loglabs/mltrace - Coarse-grained lineage and tracing for machine learning pipelines.
- primakov/precision-medicine-toolbox - Precision medicine toolbox
- greentfrapp/lucent - Lucid library adapted for PyTorch
- SupetZYK/DynamicMetricLearning -
- lxtGH/CAE - This is a PyTorch implementation of “Context AutoEncoder for Self-Supervised Representation Learning"
- yzou2/CRST - Code for <Confidence Regularized Self-Training> in ICCV19 (Oral)
- nasaharvest/us-inseason-phenorm - Code for in-season crop type mapping with phenology normalization in US Corn Belt
- nasaharvest/openmapflow - Rapid map creation with machine learning and earth observation data.
- facebookresearch/HRViT - HRViT ("Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation"), CVPR 2022.
- unionai-oss/unionml - UnionML: the easiest way to build and deploy machine learning microservices
- BenoitMorel/SpeciesRaxEmpiricalTrees -
- DyogenIBENS/Phylorgs -
- gombru/LocSens - Code of Location Sensitive Image Retrieval and Tagging, ECCV 2020 by Raul Gomez, Jaume Gibert, Lluis Gomez and Dimosthenis Karatzas
- gombru/MMSemanticRetrievalDemo -
- bradyz/stuff_to_remember -
- sentinel-hub/eo-grow - Earth observation framework for scaled-up processing in Python
- developmentseed/label-maker - Data Preparation for Satellite Machine Learning
- mlfoundations/patching - Patching open-vocabulary models by interpolating weights
- mlfoundations/model-soups -
- mlfoundations/wise-ft -
- shobeir/GraphiPy - GraphiPy: Universal Social Data Extractor
- Toblerity/rtree - Rtree: spatial index for Python GIS ¶
- criteo/fromconfig - A library to instantiate any Python object from configuration files.
- google/seqio - Task-based datasets, preprocessing, and evaluation for sequence models.
- microsoft/esvit - EsViT: Efficient self-supervised Vision Transformers
- EleutherAI/knowledge-neurons - A library for finding knowledge neurons in pretrained transformer models.
- lucidrains/memorizing-transformers-pytorch - Implementation of Memorizing Transformers (ICLR 2022), attention net augmented with indexing and retrieval of memories using approximate nearest neighbors, in Pytorch
- fartashf/vsepp - PyTorch Code for the paper "VSE++: Improving Visual-Semantic Embeddings with Hard Negatives"
- RelevanceAI/vectorhub - Vector Hub - Library for easy discovery, and consumption of State-of-the-art models to turn data into vectors. (text2vec, image2vec, video2vec, graph2vec, bert, inception, etc)
- lucidrains/contrastive-learner - A simple to use pytorch wrapper for contrastive self-supervised learning on any neural network
- justinpinkney/awesome-pretrained-stylegan2 - A collection of pre-trained StyleGAN 2 models to download
- webdataset/webdataset-tensorflow - A small project illustrating how to use the WebDataset library and format with Tensorflow/Keras.
- ianare/exif-py - Easy to use Python module to extract Exif metadata from digital image files.
- POSTECH-CVLab/PyTorch-StudioGAN - StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
- JohnGiorgi/se_best_practices_ml_perspective - This repository is meant to serve as an opinionated, pedagogical guide on software engineering best practices for those of us in machine learning. Follow along with the guide here: https://johngiorgi.
-
fra31/robust-finetuning - Code relative to "Adversarial robustness against multiple
$l_p$ -threat models at the price of one and how to quickly fine-tune robust models to another threat model" - rom1504/laion-prepro - Get hundred of million of image+url from the crawling at home dataset and preprocess them
- YU1ut/MixMatch-pytorch - Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"
- zhunzhong07/NCL - Neighborhood Contrastive Learning for Novel Class Discovery, CVPR 2021
- k-han/DTC - "Learning to Discover Novel Visual Categories via Deep Transfer Clustering" by Kai Han, Andrea Vedaldi, Andrew Zisserman (ICCV 2019)
- OatmealLiu/class-iNCD - PyTorch implementation for the paper Class-incremental Novel Class Discovery (ECCV 2022)
- utkarshojha/few-shot-gan-adaptation - [CVPR '21] Official repository for Few-shot Image Generation via Cross-domain Correspondence
- robvanvolt/DALLE-tools - DALLE-tools provided useful dataset utilities to improve you workflow with WebDatasets.
- Yujun-Shi/CwD - Official Implementation of CVPR 2022 paper: "Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning"
- icoz69/CEC-CVPR2021 - Pytorch code for CVPR2021 paper "Few-Shot Incremental Learning with Continually Evolved Classifiers"
- ujjwaltiwari/Deep_Variational_Metric_Learning -
- salesforce/MUST - PyTorch code for MUST
- ljin0429/CAD-Net - Class-Attentive Diffusion Network for Semi-Supervised Classification [AAAI'21] (official implementation)
- jxhe/unify-parameter-efficient-tuning - Implementation of paper "Towards a Unified View of Parameter-Efficient Transfer Learning" (ICLR 2022)
- shashankvkt/AlignMixup_CVPR22 - Official Implementation of AlignMixup - CVPR 2022
- chunbolang/BAM - Official PyTorch Implementation of Learning What Not to Segment: A New Perspective on Few-Shot Segmentation (CVPR 2022 Oral).
- chenqi1126/SIPE - [CVPR 2022] Self-supervised Image-specific Prototype Exploration for Weakly Supervised Semantic Segmentation
- alpc91/TransDA - This is an official implementation for "Smoothing Matters: Momentum Transformer for Domain Adaptive Semantic Segmentation"
- eleGAN23/HI2I - This is NOT the official repository. The official repository is: ispamm/HI2I
- lhoyer/DAFormer - [CVPR22] Official Implementation of DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation
- Saurav-31/ViTOL - ViTOL
- Confusezius/Deep-Metric-Learning-Baselines - PyTorch Implementation for Deep Metric Learning Pipelines
- cvjena/semantic-embeddings - Hierarchy-based Image Embeddings for Semantic Image Retrieval
- 99991/cifar10-fast-simple - Train CIFAR10 to 94% accuracy in a few minutes/seconds. Based on https://github.com/davidcpage/cifar10-fast
- TheClimateCorporation/properscoring - Proper scoring rules in Python
- AngryCai/GR-RSCNet-HSIClustering - Y. Cai, M. Zeng, Z. Cai, X. Liu, and Z. Zhang, "Graph Regularized Residual Subspace Clustering Network for hyperspectral image clustering," Information Sciences, vol. 578, pp. 85-101, 2021.
- francois-rozet/torchist - NumPy-style histograms in PyTorch
- moskomule/chika - chika is a simple and easy config tool for hierarchical configurations.
- italojs/resize_dataset_pascalvoc - Package to resize ALL your dataset images (into local folder) and change the pascal_VOC coodinates in your .xml file
- naturalis/galaxy-tool-taxonmatcher - Find for your input taxonomy the taxonomy from an other database
- davanstrien/flyswot - A CLI for Hugging Face Transformers image classification models 🦾🤗
- VITA-Group/TransGAN - [NeurIPS‘2021] "TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up", Yifan Jiang, Shiyu Chang, Zhangyang Wang
- python-packaging/dowsing - Metadata extraction at a distance
- BenoitMorel/phd_experiments -
- ShivamDuggal4/TARS3D - Topologically-Aware Deformation Fields for Single-View 3D Reconstruction (CVPR 2022)
- ShipengWang/Adam-NSCL - PyTorch implementation of our Adam-NSCL algorithm from our CVPR2021 (oral) paper "Training Networks in Null Space for Continual Learning"
- sahagobinda/GPM - Official Code Repository for "Gradient Projection Memory for Continual Learning"
- GMvandeVen/class-incremental-learning - PyTorch implementation of a VAE-based generative classifier, as well as other class-incremental learning methods that do not store data (DGR, BI-R, EWC, SI, CWR, CWR+, AR1, the "labels trick", SLDA).
- rom1mouret/mpcl - theoretical framework for continual learning / incremental learning
- MrtnMndt/OpenVAE_ContinualLearning - Open-source code for our paper: Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition
- ViTAE-Transformer/ViTDet - Unofficial implementation of Exploring Plain Vision Transformer Backbones for Object Detection
- GT-SALT/Adaptive-Compositional-Modules - Code for the ACL 2022 paper "Continual Sequence Generation with Adaptive Compositional Modules"
- mwindowshz/YoloToTfRecords - tools for converting yolo boxes to pascal voc xml and TFRecords
- tensorly/tensorly - TensorLy: Tensor Learning in Python.
- wuhuikai/DeepGuidedFilter - Official Implementation of Fast End-to-End Trainable Guided Filter, CVPR 2018
- sampsyo/clusterfutures - super-slick Slurm and Condor cluster execution for Python
- insitro/redun - Yet another redundant workflow engine
- grok-ai/nn-template - Generic template to bootstrap your PyTorch project.
- lucidrains/byol-pytorch - Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch
- scikit-learn-contrib/imbalanced-learn - A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
- Yiyang98/BFUDA - Code release for "Clarinet: A One-step Approach Towards Budget-friendly Unsupervised Domain Adaptation" (IJCAI 2020)
- val-iisc/SDAT - [ICML 2022]Source code for "A Closer Look at Smoothness in Domain Adversarial Training",
- Liuhong99/CST - Code release for "Cycle Self-Training for Domain Adaptation" (NeurIPS 2021)
- facundoolano/software-papers - 📚 A curated list of papers for Software Engineers
- jackdoe/programming-for-kids - book for parents and kids.
- online-ml/beaver - 🦫 MLOps for online machine learning
- jonahthelion/tensorboardY - Quickly visualize ML models in the browser
- visym/heyvi - Visym Analytics for Visual AI
- visym/vipy - Python Tools for Visual Dataset Transformation
- silvia1993/HyMOS - Hyperspherical classification for Multi-source Open-Set domain adaptation
- Westlake-AI/openmixup - CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark
- belaalb/G2DM - Generalizing to unseen domains via distribution matching
- divyam3897/UCL - Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)
- RL-VIG/LibFewShot - LibFewShot: A Comprehensive Library for Few-shot Learning.
- Music-and-Culture-Technology-Lab/omnizart - Omniscient Mozart, being able to transcribe everything in the music, including vocal, drum, chord, beat, instruments, and more.
- magenta/magenta - Magenta: Music and Art Generation with Machine Intelligence
- jrnl-org/jrnl - Collect your thoughts and notes without leaving the command line.
- NannyML/nannyml - Detecting silent model failure. NannyML estimates performance with an algorithm called Confidence-based Performance estimation (CBPE), developed by core contributors. It is the only open-source algori
- RDFLib/rdflib - RDFLib is a Python library for working with RDF, a simple yet powerful language for representing information.
- cool-RR/python_toolbox - A collection of useful Python tools
- fabiocaccamo/python-benedict - 📘 dict subclass with keylist/keypath support, normalized I/O operations (base64, csv, ini, json, pickle, plist, query-string, toml, xml, yaml) and many utilities.
- chris1610/sidetable - sidetable builds simple but useful summary tables of your data
- f-dangel/backpack - BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
- ray-project/ray_beam_runner - Ray-based Apache Beam runner
- fostroll/junky - Layers, datasets and utilities for PyTorch
- cvlab-epfl/Power-Iteration-SVD - Backpropagation-Friendly-Eigendecomposition
- cvlab-epfl/disk - Disk code release
- FishYuLi/BalancedGroupSoftmax - CVPR 2020 oral paper: Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax.
- Erlemar/wheat - Wheat Detection challenge on Kaggle
- strawberry-graphql/strawberry - A GraphQL library for Python that leverages type annotations 🍓
- maki-nage/makinage - Stream Processing Made Easy
- dask/cachey - Caching based on computation time and storage space
- Dumbris/trunklucator - Python module for data scientists for quick creating annotation projects.
- diffgram/diffgram - Training Data (Data Labeling, Annotation, Workflow) for all Data Types (Image, Video, 3D, Text, Geo, Audio, more) at scale.
- zhangxiaoyu11/OmiTrans - The first GANs-based omics-to-omics translation framework
- rballester/tntorch - Tensor Network Learning with PyTorch
- lmcinnes/umap - Uniform Manifold Approximation and Projection
- wonderworks-software/PyFlow - Visual scripting framework for python - https://wonderworks-software.github.io/PyFlow
- Ed-XCF/scoped-singleton - Easier sharing data between objects
- ISosnovik/nets - Draw your net
- KhrulkovV/tt-pytorch -
- csuhan/opendet2 - Official code of the paper "Expanding Low-Density Latent Regions for Open-Set Object Detection" (CVPR 2022)
- SeldonIO/tempo - MLOps Python Library
- rishikksh20/FNet-pytorch - Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms
- quintoandar/butterfree - A tool for building feature stores.
- jkulhanek/wandbfs - wandb fsspec implementation
- aeturrell/skimpy - skimpy is a light weight tool that provides summary statistics about variables in data frames within the console.
- swansonk14/typed-argument-parser - Typed argument parser for Python
- htdt/hyp_metric - Hyperbolic Vision Transformers: Combining Improvements in Metric Learning | Official repository
- thuml/Flowformer - About Code release for "Flowformer: Linearizing Transformers with Conservation Flows" (ICML 2022), https://arxiv.org/pdf/2202.06258.pdf
- snap-research/EfficientFormer -
- jiawangbai/HAT - Implementation of HAT https://arxiv.org/pdf/2204.00993
- vmware/versatile-data-kit - Versatile Data Kit (VDK) is an open source framework that enables anybody with basic SQL or Python knowledge to create their own data pipelines.
- ucbrise/hypersched - Deadline-based hyperparameter tuning on RayTune.
- ucbrise/flor - FLOR: Fast Low-Overhead Recovery. FLOR lets you log ML training data post-hoc, with hindsight.
- pathbird/poetry-kernel - Python Jupyter kernel using Poetry for reproducible notebooks
- deepmind/xmanager - A platform for managing machine learning experiments
- sudomaze/when-my-internet-is-down -
- sudomaze/cookiecutter-pytorch-lightning-cluster -
- HamidShojanazeri/ML-benchmarks -
- princetonvisualai/DomainBiasMitigation -
- yqhu/omni_perf -
- AmirooR/IntraOrderPreservingCalibration -
- continental/hybrid_learning - Libraries for analysing and using linear concept embeddings of deep neural networks
- robinhood/faust - Python Stream Processing
- continental/image-statistics-matching - Methods for alignment of global image statistics aimed at unsupervised Domain Adaptation and Data Augmentation
- ZixuanKe/PyContinual - PyContinual (An Easy and Extendible Framework for Continual Learning)
- firasl/BoCF - Official implementation of 'Bag of Color Features For Color Constancy' (BoCF) accepted in IEEE Transactions on Image Processing (TIP) 2020
- firasl/inverse_attention - This repository provides the official implementation of 'Learning to ignore: rethinking attention in CNNs' accepted in BMVC 2021.
- mosaicml/yahp - hyperparameter management
- Alpha-VL/FastConvMAE -
- waliens/multitask-dipath - Implementation of PyTorch-based multi-task pre-trained models
- micheles/decorator - decorator
- hamiltonkibbe/tutti - Distributed Synchronization for Python
- etetoolkit/ete - Python package for building, comparing, annotating, manipulating and visualising trees. It provides a comprehensive API and a collection of command line tools, including utilities to work with the NCB
- PaddlePaddle/PaddleClas - A treasure chest for visual classification and recognition powered by PaddlePaddle
- Ha0Tang/AttentionGAN - AttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation
- vecxoz/vecstack - Python package for stacking (machine learning technique)
- opendatacube/eo-datasets - Easily write, validate and convert EO datasets and metadata.
- ESA-PhiLab/OpenSarToolkit - High-level functionality for the inventory, download and pre-processing of Sentinel-1 data in the python language.
- giswqs/geospatial - A Python package for installing commonly used packages for geospatial analysis and data visualization with only one command.
- sentinel-hub/eo-learn - Earth observation processing framework for machine learning in Python
- awslabs/aws-data-wrangler - Pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Par
- azavea/raster-vision - An open source framework for deep learning on satellite and aerial imagery.
- gaoguangshuai/Counting-from-Sky-A-Large-scale-Dataset-for-Remote-Sensing-Object-Counting-and-A-Benchmark-Method - Counting from Sky: A Large-scale Dataset for Remote Sensing Object Counting and A Benchmark Method
- geopandas/geopandas - Python tools for geographic data
- rasterio/rasterio - Rasterio reads and writes geospatial raster datasets
- sentinelsat/sentinelsat - Search and download Copernicus Sentinel satellite images
- Toblerity/Fiona - Fiona reads and writes geographic data files
- Prasad9/TFRecord_Images - Illustration of how to create TFRecord with images and pipelined into Datasets and Iterators
- linkedin/smart-arg - Smart Arguments Suite (smart-arg) is a slim and handy python lib that helps one work safely and conveniently with command line arguments.
- linkedin/python-avro-json-serializer - Serializes data into a JSON format using AVRO schema.
- facebookresearch/poincare-embeddings - PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"
- linkedin/lambda-learner - Lambda Learner is a library for iterative incremental training of a class of supervised machine learning models.
- kachayev/dataclasses-tensor - Easily serialize dataclasses to and from tensors (PyTorch, NumPy)
- DHI-GRAS/terracotta - A light-weight, versatile XYZ tile server, built with Flask and Rasterio 🌍
- jgrss/cultionet - Image segmentation of cultivated land
- jgrss/mpglue - A Python library for image and vector processing
- jgrss/mtlchmm - Multi-temporal land cover maps with a Hidden Markov Model
- uber/petastorm - Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, a
- aazuspan/wxee - A Python interface between Earth Engine and xarray for processing time series data
- SciTools/iris - A powerful, format-agnostic, and community-driven Python package for analysing and visualising Earth science data
- kivanctezoren/ffcv-tryouts - Trying out the FFCV library with CIFAR10, iNaturalist 2018, etc. using configurations from AAAI2021 paper Bag of Tricks
- exnx/ffcv_mixup_cutout - ffcv code to generate mixup and cutout transforms
- dparks1134/UniteM - Ensemble binning strategies for combining the output of multiple binning methods.
- ShopRunner/wildebeest - File processing pipelines
- dvlab-research/JigsawClustering - This is the code for CVPR 2021 oral paper: Jigsaw Clustering for Unsupervised Visual Representation Learning
- dvlab-research/ReviewKD - Distilling Knowledge via Knowledge Review, CVPR 2021
- dvlab-research/MiSLAS - Improving Calibration for Long-Tailed Recognition (CVPR2021)
- dvlab-research/GFS-Seg - The official implementation of Generalized Few-shot Semantic Segmentation (CVPR 2022)
- dvlab-research/Parametric-Contrastive-Learning - Parametric Contrastive Learning (ICCV2021)
- intel/dffml - The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.
- JosephKJ/ELI - (CVPR 2022) Energy-based Latent Aligner for Incremental Learning
- dvlab-research/Imbalanced-Learning - Imbalanced learning tool for imbalanced recognition and segmentation
- hephex/asyncache - Helpers to use cachetools with async functions
- zx80/cachetools-utils - Classes to add key prefix and stats to cachetools classes and use redis and memcached backends
- mariushelf/shelved_cache - Persistent Cache implementation for Python cachetools.
- hi-primus/optimus - 🚚 Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
- facebookresearch/myosuite - MyoSuite is a collection of environments/tasks to be solved by musculoskeletal models simulated with the MuJoCo physics engine and wrapped in the OpenAI gym API.
- prs-eth/bayes-forest-structure -
- prs-eth/c-pic - [ICCV2021] Code for the paper "Cherry-Picking Gradients: Learning Low-Rank Embeddings of Visual Data via Differentiable Cross-Approximation"
- merantix-momentum/squirrel-datasets-core - Squirrel dataset hub
- merantix-momentum/squirrel-core - A Python library that enables ML teams to share, load, and transform data in a collaborative, flexible, and efficient way 🌰
- ByungKwanLee/Super-Fast-Adversarial-Training - PyTorch Implementation Code for Developing Super Fast Adversarial Training with Distributed Data Parallel, Channel Last Memory Format, Mixed Precision Training + Adversarial Attack, Faster Adversarial
- LeeHyuck/ABC - pytorch implementation of ABC : Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning
- YUE-FAN/CoSSL - Official PyTorch Implementation of "CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning" (CVPR 2022)
- Megvii-BaseDetection/DisAlign - Implementation of "Distribution Alignment: A Unified Framework for Long-tail Visual Recognition"(CVPR 2021)
- Megvii-BaseDetection/cvpods - All-in-one Toolbox for Computer Vision Research.
- PyTables/PyTables - A Python package to manage extremely large amounts of data
- mahmoud/glom - ☄️ Python's nested data operator (and CLI), for all your declarative restructuring needs. Got data? Glom it! ☄️
- python-trio/trio - Trio – a friendly Python library for async concurrency and I/O
- JaredLGillespie/cache.me - Python library for caching the outputs of functions based on the inputted parameters to reduce recomputing expensive computations and requesting frequently accessed content, and to improve performance
- tkem/cachetools - Extensible memoizing collections and decorators
- mdbloice/Augmentor - Image augmentation library in Python for machine learning.
- FrancescoSaverioZuppichini/model-version-with-hf-hub - What if we use hf hub to do versioning of a model?
- MarcSkovMadsen/awesome-panel-lightning -
- samleoqh/MSCG-Net - Multi-view Self-Constructing Graph Convolutional Networks with Adaptive Class Weighting Loss for Semantic Segmentation
- KentoNishi/Augmentation-for-LNL - [CVPR 2021] Code for "Augmentation Strategies for Learning with Noisy Labels".
- Yunfan-Li/Contrastive-Clustering - Code for the paper "Contrastive Clustering" (AAAI 2021)
- ryanchankh/mcr2 - Official Implementation of Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction (2020)
- deu30303/RUC -
- XLearning-SCU/2021-CVPR-Completer - PyTorch implementation for COMPLETER: Incomplete Multi-view Clustering via Contrastive Prediction (CVPR 2021)
- ZhiyuanDang/NNM - The PyTorch official implementation of the CVPR2021 Poster Paper NNM: Nearest Neighbor Matching for Deep Clustering.
- SubmissionsIn/Multi-VAE - Multi-VAE: Learning Disentangled View-common and View-peculiar Visual Representations for Multi-view Clustering
- FabianFalck/mfcvae - [NeurIPS 2021] 🏁 Multi-Facet Clustering Variatonal Autoencoders (MFCVAE) 🏁 A class of variational autoencoders to find multiple disentangled clusterings of data. Official PyTorch implementation.
- yueliu1999/DCRN - [AAAI 2022] An official source code for paper Deep Graph Clustering via Dual Correlation Reduction.
- naver-ai/c3-gan - Official Pytorch implementation of C3-GAN (Spotlight at ICLR 2022)
- ZhiyuanDang/DCDC - This is the official Pytorch implementation of DCDC: https://arxiv.org/abs/2103.05484
- niuchuangnn/SPICE -
- Armanfard-Lab/DCSS - PyTorch implementation of DCSS: Deep Clustering with Self-supervision using Pairwise Data Similarities
- Wookai/paper-tips-and-tricks - Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.
- youknowone/ring - Python cache interface with clean API and built-in memcache & redis + asyncio support.
- leymir/hyperbolic-image-embeddings - Supplementary code for the paper "Hyperbolic Image Embeddings".
- stevliu/self-conditioned-gan - Diverse Image Generation via Self-Conditioned GANs
- geyang/params_proto - params_proto, a collection of decorators that makes shell argument passing declarative
- SsnL/dataset-distillation - Dataset Distillation
- wuqiuche/micromotion-styleGAN -
- ramnes/notion-sdk-py - Official Notion SDK rewritten in Python (sync + async)
- aiidateam/aiida-core - The official repository for the AiiDA code
- boschresearch/statestream - A toolbox to explore synchronous layerwise-parallel deep neural networks.
- msight-tech/research-ms-loss - MS-Loss: Multi-Similarity Loss for Deep Metric Learning
- msight-tech/research-xbm - XBM: Cross-Batch Memory for Embedding Learning
- YaleDHLab/stylegan2-helpers - Automates a bunch of steps to go from a folder of images to a trained network using stylegan2
- emdata-ailab/FSCD-Det -
- cpphoo/PAS -
- dbolya/yolact - A simple, fully convolutional model for real-time instance segmentation.
- BNMetrics/logme - Python Logging For Humans (Also supports configurable color logging for the terminal!)
- dbolya/parc - A benchmark suite for Scalable Diverse Model Selection for Accessible Transfer Learning from our NeurIPS 2021 paper.
- dbolya/tide - A General Toolbox for Identifying Object Detection Errors
- tortoise/tortoise-orm - Familiar asyncio ORM for python, built with relations in mind
- oap-project/raydp - RayDP: Distributed data processing library that provides simple APIs for running Spark on Ray and integrating Spark with distributed deep learning and machine learning frameworks.
- operatorai/modelstore - 🏬 modelstore is a Python library that allows you to version, export, and save a machine learning model to your filesystem or a cloud storage provider.
- alextamkin/dabs - A Domain-Agnostic Benchmark for Self-Supervised Learning
- jbohnslav/opencv_transforms - OpenCV implementation of Torchvision's image augmentations
- lixiaotong97/DSU - [ICLR 2022] Official pytorch implementation of "Uncertainty Modeling for Out-of-Distribution Generalization" in International Conference on Learning Representations (ICLR) 2022.
- HazyResearch/fm_data_tasks - Foundation Models for Data Tasks
- robustness-gym/robustness-gym - Robustness Gym is an evaluation toolkit for machine learning.
- boschresearch/rince - This is the code accompanying the AAAI 2022 paper "Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Positives" https://arxiv.org/abs/2201.11736 . The method allows y
- naver/cog - ImageNet-CoG is a benchmark for concept generalization. It provides a full evaluation framework for pre-trained visual representations which measure how well they generalize to unseen concepts.
- sumitramalagi/Unseen-classes-at-a-later-time -
- salesforce/hierarchicalContrastiveLearning -
- 99991/ParallelZipFile - Quick hacky parallel ZipFile implementation
- sail-sg/mugs - A PyTorch implementation of Mugs proposed by our paper "Mugs: A Multi-Granular Self-Supervised Learning Framework".
- IBM/constrained-FSCIL - PyTorch Implementation of the CVPR'22 Paper "Constrained Few-shot Class-incremental Learning"
- naver/oasis - Code for the paper "On the Road to Online Adaptation for Semantic Image Segmentation", CVPR 2022
- hirl-team/HIRL - HIRL: A General Framework for Hierarchical Image Representation Learning (http://arxiv.org/abs/2205.13159)
- lucadiliello/python-multiprocessing-generator - Easily process data from a generator in multicore and return another generator.
- Oulu-IMEDS/AdaTriplet -
- xwying/torchshow - Visualize PyTorch tensors with a single line of code.
- kaczmarj/champkit - Benchmarking toolkit for patch-based histopathology image classification.
- furkanonder/karbon - Turn mouse events into art!
- NVIDIA/Imageinary - Imageinary is a reproducible mechanism which is used to generate large image datasets at various resolutions. The tool supports multiple image types, including JPEGs, PNGs, BMPs, RecordIO, and TFRecor
- ZhenyueQin/Research-Softmax-with-Mutual-Information - Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".
- LeviBorodenko/img2rag - Convert any image into a Region Adjacency Graph (RAG)
- mfinzi/olive-oil-ml -
- iDigBio/idigbio-python-client - A python client for the idigbio v2 API
- gbif/pygbif - GBIF Python client
- GraupelLabs/lightning-images - Training scripts for end-to-end image classification based on Pytorch-Lightning with support of training in the cloud powered by Grid AI.
- dantaki/vapeplot - matplotlib extension for vaporwave aesthetics
- willi-menapace/acids-clustering-domain-shift - Official Pytorch implementation of ACIDS, ECCV 2020 "Learning to Cluster under Domain Shift"
- Vision-CAIR/RelTransformer -
- jz462/Large-Scale-VRD.pytorch - Implementation for the AAAI2019 paper "Large-scale Visual Relationship Understanding"
- Vision-CAIR/LTVRR -
- marsupialtail/quokka - Fast data lake analytics/ETL/ML pipeline tool
- NVlabs/GCVit - Official PyTorch implementation of Global Context Vision Transformers
- meadowdata/meadowrun - Meadowrun automates the tedious details of running your python code on AWS or Azure
- crowsonkb/k-diffusion - Karras et al. (2022) diffusion models for PyTorch
- Luodian/MoE-DG - In this work, we reveal the mixture-of-experts (MoE) model's generalizability on DG by leveraging to distributively handle multiple aspects of the predictive features across domains.
- grantjenks/python-diskcache - Python disk-backed cache (Django-compatible). Faster than Redis and Memcached. Pure-Python.
- gyhui14/spottune - SpotTune: Transfer Learning through Adaptive Fine-tuning
- SHI-Labs/Compact-Transformers - [Preprint] Escaping the Big Data Paradigm with Compact Transformers, 2021
- nalexai/hyperlib - Library that contains implementations of machine learning components in the hyperbolic space
- gortizji/inr_dictionaries - Source code of "A structured dictionary perspective on implicit neural representations"
- google-research/heldout-influence-estimation -
- mkuchnik/PlumberApp - Repository to go along with the paper "Plumber: Diagnosing and Removing Performance Bottlenecks in Machine Learning Data Pipelines"
- sutd-visual-computing-group/dag-gans - Data Augmentation optimized for GAN
- naver/tldr - TLDR is an unsupervised dimensionality reduction method that combines neighborhood embedding learning with the simplicity and effectiveness of recent self-supervised learning losses
- nateraw/huggingpics-explorer - A streamlit app for exploring image search results from HuggingPics
- BlackHC/toma - Helps you write algorithms in PyTorch that adapt to the available (CUDA) memory
- trent-b/iterative-stratification - scikit-learn cross validators for iterative stratification of multilabel data
- jfzhang95/pytorch-deeplab-xception - DeepLab v3+ model in PyTorch. Support different backbones.
- ZhangYuanhan-AI/Bamboo - Bamboo: 4 times larger than ImageNet; 2 time larger than Object365; Built by active learning.
- cloneofsimo/minDiffusion - Self-contained, minimalistic implementation of diffusion models with Pytorch.
- wgcban/ddpm-cd - Remote Sensing Change Detection using Denoising Diffusion Probabilistic Models
- leoncvlt/loconotion - 📄 Python tool to turn Notion.so pages into lightweight, customizable static websites
- MerkulovDaniil/notion4ever - 🏛 Python tool for export all your content of Notion page using official Notion API. Includes: all nested subpages, markdown files and HTMLs, nice urls, downloading locally all its content.
- msight-tech/research-curriculumnet - CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images
- dukeamll/uab - Framework for Image Segmentation/Classification of Satellite Images
- haesleinhuepf/beetlesafari -
- donnemartin/system-design-primer - Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
- stevedsun/notion-graph-view - Generate a roam research like network graph view from your Notion pages.
- EntilZha/PyFunctional - Python library for creating data pipelines with chain functional programming
- alex-sherman/deco -
- rawpython/remi - Python REMote Interface library. Platform independent. In about 100 Kbytes, perfect for your diet.
- harelba/q - q - Run SQL directly on delimited files and multi-file sqlite databases
- Linzaer/Ultra-Light-Fast-Generic-Face-Detector-1MB - 💎1MB lightweight face detection model (1MB轻量级人脸检测模型)
- py2many/py2many - Transpiler of Python to many other languages
- visualcurrent/Notion-2-Obsidan - Conversion routines to convert all Notion .md exports to full Obsidian compatibility
- martinblech/xmltodict - Python module that makes working with XML feel like you are working with JSON
- brainix/pottery - Redis for humans. 🌎🌍🌏
- EgorDm/notionsci - Collection of scientific app/tool syncs for Notion API
- jamalex/notion-py - Unofficial Python API client for Notion.so
- smpurkis/fast_json_normalize - A package designed to be a fast implementation for the pandas json normalize function, as it can be rather slow when dealing with very large json objects
- trevismd/statannotations - add statistical significance annotations on seaborn plots. Further development of statannot, with bugfixes, new features, and a different API.
- Sunzh1996/QuiverPytorch -
- nasaharvest/timl - Task-Informed Meta-Learning
- nasaharvest/crop-maml - Learning to predict crop type from heterogeneous sparse labels using meta-learning
- nasaharvest/kenya-crop-mask - Annual and in-season crop mapping in Kenya
- jolibrain/joliGAN - Semantic Image-to-Image Translation for Domain Adaptation
- HaohanWang/HEX - Example implementation for the paper: (ICLR Oral) Learning Robust Representations by Projecting Superficial Statistics Out
- Tian0426/CL-HAR -
- lorenmt/auto-lambda - The Implementation of "Auto-Lambda: Disentangling Dynamic Task Relationships" [TMLR 2022].
- mirand863/hiclass - A python library for hierarchical classification compatible with scikit-learn
- voldemortX/DST-CBC - Implementation of our Pattern Recognition paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"
- visualdatabase/fastdup - FastDup is a tool for gaining insights from a large image collection. It can find anomalies, duplicate and near duplicate images, clusters of similaritity, learn the normal behavior and temporal inter
- IndiePython/nodezator - multi-purpose visual editor to connect Python functions visually (a node editor)
- huawei-noah/Efficient-AI-Backbones - Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
- Vision-CAIR/CIZSLv2 - CIZSL++: Creativity Inspired Generative Zero-Shot Learning
- plasticityai/magnitude - A fast, efficient universal vector embedding utility package.
- minimaxir/imgbeddings - Python package to generate image embeddings with CLIP without PyTorch/TensorFlow
- hristo-vrigazov/mmap.ninja - Memory mapped data structures which can be used by multiple languages - Python, C/C++ (Cython), Rust, Java.
- bledem/active-learning -
- aakashrkaku/intermdiate_layer_matter_ssl - The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper.
- MartimChaves/glcm_sat_img - GLCMs for Satellite Image Classification
- JarnoRFB/incense - Interactively retrieve data from sacred experiments.
- soft-matter/pims - Python Image Sequence: Load video and sequential images in many formats with a simple, consistent interface.
- fossasia/visdom - A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.
- Tramac/awesome-semantic-segmentation-pytorch - Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
- ekalinicheva/multi_layer_vegetation - Multi-Layer Modeling of Dense Vegetation from Aerial LiDAR Scans
- unitn-sml/pyconstruct - Python library for declarative, constrained, structured-output prediction.
- Joshmantova/Eagle-Vision - Deployed bird classification webapp using Deep Learning, Docker, and Streamlit. Users can go onto the webapp and either upload their own images of birds or select from a set of images to feed through
- zenml-io/zenml - ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io.
- ExplainableML/NonIsotropicProxyDML - This repository contains the code for our CVPR 2022 paper on "Non-isotropy Regularization for Proxy-based Deep Metric Learning".
- ExplainableML/ACVC - Official PyTorch implementation of CVPRW 2022 paper "Attention Consistency on Visual Corruptions for Single-Source Domain Generalization"
- MadryLab/copriors - Combining Diverse Feature Priors
- Mattdl/ContinualPrototypeEvolution - Codebase for Continual Prototype Evolution (CoPE) to attain perpetually representative prototypes for online and non-stationary datastreams. Includes implementation of the Pseudo-Prototypical Proxy (P
- Boyiliee/SITT - Single Image Texture Translation for Data Augmentation
- dmadras/nooch -
- czczup/ViT-Adapter - Vision Transformer Adapter for Dense Predictions
- benedekrozemberczki/awesome-decision-tree-papers - A collection of research papers on decision, classification and regression trees with implementations.
- ViTAE-Transformer/ViTAE-Transformer-Remote-Sensing - The official repo for the paper "An Empirical Study of Remote Sensing Pretraining"
- vcg-uvic/lf-net-release - Code Release for LF-Net: Learning Local Features from Images
- iterative/mlem - 🐶 Version and deploy your ML models following GitOps principles
- weclaw1/inbac - Python application for fast interactive image cropping
- jacopotagliabue/you-dont-need-a-bigger-boat - An end-to-end implementation of intent prediction with Metaflow and other cool tools
- google-research/l2p - Learning to Prompt (L2P) for Continual Learning @ CVPR22 and DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22
- lit26/streamlit-img-label - streamlit-img-label is a graphical image annotation tool using streamlit. Annotations are saved as XML files in PASCAL VOC format.
- nmichlo/disent - 🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervised, weakly supervised and unsupervised methods ▸ Easily configu
- hanjinliu/magic-class - Generate multifunctional and macro recordable GUIs from Python classes
- hanjinliu/matcall - Use MATLAB functions and classes in Python.
- hanjinliu/napari-multitask - Multitasking on napari
- pymmcore-plus/napari-micromanager - GUI interface between napari and micromanager powered by pymmcore-plus and pymmcore-widgets
- napari/magicgui - build GUIs from python functions, using magic.
- stylegan-human/StyleGAN-Human - StyleGAN-Human: A Data-Centric Odyssey of Human Generation
- archinetai/surgeon-pytorch - A library to inspect and extract intermediate layers of PyTorch models.
- Baekalfen/PyBoy - Game Boy emulator written in Python
- mfinzi/LieConv -
-
uvm-neurobotics-lab/higherANML - ANML: A Neuromodulated Meta-Learning algorithm (using the
higher
framework) - HabibSlim/DKT-for-CIL - PyTorch implementation of "Dataset Knowledge Transfer for Class-Incremental Learning Without Memory" (WACV2022)
- Lucasc-99/PackNet-Continual-Learning - The PackNet Continual Learning Method in Pytorch
- Mattdl/ContinualEvaluation - Continual evaluation for lifelong learning with neural networks.
- notmahi/disk - PyTorch implementation for "Discovery of Incremental Skills" (DISk) algorithm from ICLR 2022 paper "One After Another: Learning Incremental Skills for a Changing World"
- srvCodes/continual_learning_with_vit - Code for our CVPR 2022 workshop paper "Towards Exemplar-Free Continual Learning in Vision Transformers"
- jaehong31/OCS - Online Coreset Selection for Rehearsal-based Continual Learning, ICLR 2022
- emanuele-progr/Data-Incremental-Learning - A python framework for dealing and experimenting with image classification in a data-incremental scenario.
- sanketvmehta/lifelong-learning-pretraining-and-sam - Code for the paper "Mehta, S. V., Patil, D., Chandar, S., & Strubell, E. (2021). An empirical investigation of the role of pre-training in lifelong learning. arXiv preprint arXiv:2112.09153."
- Mattdl/RehearsalRevealed - Official codebase of the "Rehearsal revealed:The limits and merits of revisiting samples in continual learning" paper.
- loribonna/CSSL - Code implementation of Continual Semi-Supervised Learning through Contrastive Interpolation Consistency
- Bycelium/PyFlow - An open-source tool for visual and modular block programming in python
- zhoudw-zdw/CVPR22-Fact - The code repository for "Forward Compatible Few-Shot Class-Incremental Learning" (CVPR22) in PyTorch.
- BruceQFWang/learngene -
- zju-vipa/TransferbilityFromAttributionMaps - (NeurIPS 2019) Deep Model Transferbility from Attribution Maps
- aimagelab/mammoth - An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning
- mbosc/twf - Official codebase for the ECCV 2022 paper Transfer without Forgetting
- timkpaine/ipydagred3 - ipywidgets library for drawing directed acyclic graphs in jupyterlab using dagre-d3
- LineaLabs/lineapy - Data engineering, simplified. LineaPy creates a frictionless path for taking your data science artifact from development to production.
- asteroidhouse/INN-exploding-inverses - Code for Understanding and Mitigating Exploding Inverses in Invertible Neural Networks http://arxiv.org/abs/2006.09347
- taesungp/contrastive-unpaired-translation - Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
- taesungp/swapping-autoencoder-pytorch - Official Implementation of Swapping Autoencoder for Deep Image Manipulation (NeurIPS 2020)
- chail/gan-ensembling - Invert and perturb GAN images for test-time ensembling
- MadryLab/datamodels-data - Data for "Datamodels: Predicting Predictions with Training Data"
- ExplainableML/czsl - PyTorch CZSL framework containing GQA, the open-world setting, and the CGE and CompCos methods.
- lartpang/PyTorchCoding - Some example of PyTorch about some papers
- microsoft/planetary-computer-sdk-for-python - Planetary Computer SDK for Python
- TACJu/Bi-Sampling - This is the official PyTorch implementation of the paper "Rethinking Re-Sampling in Imbalanced Semi-Supervised Learning" (Ju He, Adam Kortylewski, Shaokang Yang, Shuai Liu, Cheng Yang, Changhu Wang, A
- zhoudaquan/dvit_repo -
- althonos/pronto - A Python frontend to (Open Biomedical) Ontologies.
- tkonopka/embedding_constraint_callback - a callback for pytorch-lightning that constrains training of Embedding components
- rdadolf/fathom - Reference workloads for modern deep learning methods.
- tfzhou/ContrastiveSeg - ICCV2021 (Oral) - Exploring Cross-Image Pixel Contrast for Semantic Segmentation
- abhishekkrthakur/mlspace - MLSpace: Hassle-free machine learning & deep learning development
- rowanz/merlot_reserve - Code release for "MERLOT Reserve: Neural Script Knowledge through Vision and Language and Sound"
- facebookresearch/dino - PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
- Alpha-VL/ConvMAE - ConvMAE: Masked Convolution Meets Masked Autoencoders
- Sara-Ahmed/SiT - Self-supervised vIsion Transformer (SiT)
- scampion/slideotracker - enables to synchronize slides with the corresponding video recording using SURF descriptors and RANSAC robustificaiton | slideotracker = slides + video + tracking
- lucidrains/compositional-attention-pytorch - Implementation of "compositional attention" from MILA, a multi-head attention variant that is reframed as a two-step attention process with disentangled search and retrieval head aggregation, in Pytor
- pwwang/diot - Python dictionary with dot notation
- okojoalg/sequencer - Sequencer: Deep LSTM for Image Classification
- NVlabs/FreeSOLO - FreeSOLO for unsupervised instance segmentation, CVPR 2022
- charlax/professional-programming - A collection of full-stack resources for programmers.
- zdaxie/PixPro - Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning, CVPR 2021
- foolwood/SiamMask - [CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach
- megvii-model/YOLOF -
- kdexd/virtex - [CVPR 2021] VirTex: Learning Visual Representations from Textual Annotations
- facebookresearch/mae - PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
- ryanlu2240/Pretrained_IPT -
- idiap/fast-transformers - Pytorch library for fast transformer implementations
- yogeshbalaji/Generate_To_Adapt - Implementation of "Generate To Adapt: Aligning Domains using Generative Adversarial Networks"
- NVlabs/GroupViT - Official PyTorch implementation of GroupViT: Semantic Segmentation Emerges from Text Supervision, CVPR 2022.
- zhiheLu/CWT-for-FSS - Official code for "Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer. ICCV2021".
- learnables/learn2learn - A PyTorch Library for Meta-learning Research
- tristandeleu/pytorch-meta - A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
- fish2000/CLU - Common Lightweight Utilities, or Command-Line Utilities (your pick)
- Mountchicken/Efficient-Deep-Learning - A bag of tricks to speed up your deep learning process
- knjcode/cifar2png - Convert CIFAR-10 and CIFAR-100 datasets into PNG images
- MaxHalford/xam - 🎯 Personal data science and machine learning toolbox
- clovaai/CutMix-PyTorch - Official Pytorch implementation of CutMix regularizer
- clovaai/symmetrical-synthesis - Official Tensorflow implementation of "Symmetrical Synthesis for Deep Metric Learning" (AAAI 2020)
- clovaai/embedding-expansion - Official MXNet implementation of "Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning" (CVPR 2020)
- sgvaze/generalized-category-discovery - Code for our CVPR 2022 paper 'Generalized Category Discovery'. Project page: https://www.robots.ox.ac.uk/~vgg/research/gcd/
- facebookresearch/asym-siam - PyTorch implementation of Asymmetric Siamese (https://arxiv.org/abs/2204.00613)
- ruotianluo/self-critical.pytorch - Unofficial pytorch implementation for Self-critical Sequence Training for Image Captioning. and others.
- lukemelas/pytorch-pretrained-gans - Pretrained GANs in PyTorch: StyleGAN2, BigGAN, BigBiGAN, SAGAN, SNGAN, SelfCondGAN, and more
- lukemelas/unsupervised-image-segmentation - [ICLR 2022] Finding an Unsupervised Image Segmenter in each of your Deep Generative Models
- lukemelas/PyTorch-Pretrained-ViT - Vision Transformer (ViT) in PyTorch
- sungonce/CVNet - Official PyTorch Implementation of Correlation Verifcation for Image Retrieval, CVPR 2022 (Oral Presentation)
- xiaoyuan1996/retrievalSystem - The back-end of cross-modal retrieval system,wihch will contain services such as semantic location .etc
- xiaoyuan1996/AMFMN - The source code of AMFMN and the dataset RSITMD
- D-X-Y/Awesome-AutoDL - Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)
- DarrenZhang01/ExCon - ExCon: Explanation-driven Supervised Contrastive Learning
- zbr17/AVSL - [CVPR 2022] Official PyTorch implementation for Attributable Visual Similarity Learning
- zbr17/GeDML - Generalized Deep Metric Learning.
- Confusezius/ECCV2020_DiVA_MultiFeature_DML - (ECCV 2020) This repo contains code for "DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning" (https://arxiv.org/abs/2004.13458), which extends vanilla DML with auxiliary and self-superv
- wzzheng/DCML - Codes for our CVPR 2021 paper "Deep Compositional Metric Learning"
- dahyun-kang/ifsl - [CVPR'22] Official PyTorch implementation of Integrative Few-Shot Learning for Classification and Segmentation
-
dichotomies/proxy-nca - PyTorch Implementation of
No Fuss Distance Metric Learning using Proxies
. - navervision/proxy-synthesis - Official PyTorch implementation of "Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning" (AAAI 2021)
- tjddus9597/LabelRelaxation-CVPR21 - Official PyTorch Implementation of Embedding Transfer with Label Relaxation for Improved Metric Learning, CVPR 2021
- wangck20/IDML - Official implementation of Introspective Deep Metric Learning.
- lukemelas/do-you-even-need-attention - Exploring whether attention is necessary for vision transformers
- cuthbertLab/music21 - music21 is a Toolkit for Computational Musicology
- ekzhang/harmony - 🎶 Generate four-part harmony following idiomatic voice-leading procedures with DP!
- ekzhang/fastseg - 📸 PyTorch implementation of MobileNetV3 for real-time semantic segmentation, with pretrained weights & state-of-the-art performance
- NVIDIA/semantic-segmentation - Nvidia Semantic Segmentation monorepo
- lukemelas/deep-spectral-segmentation - [CVPR 2022] Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization
- naturalis/sdmdl - Species Distribution Modelling using Deep Learning
- semiautomaticgit/SemiAutomaticClassificationPlugin -
- f-dangel/cockpit - Cockpit: A Practical Debugging Tool for Training Deep Neural Networks
- opendilab/treevalue - Here are the most awesome tree structure computing solutions, make your life easier. (这里有目前性能最优的树形结构计算解决方案)
- Sense-X/UniFormer - [ICLR2022] official implementation of UniFormer
- martinsbruveris/tensorflow-image-models - TensorFlow port of PyTorch Image Models (timm) - image models with pretrained weights.
- microsoft/SimMIM - This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".
- dgilland/cacheout - A caching library for Python
- ilastik/ilastik-napari - ilastik plugin for napari
- hanjinliu/impy - Speed up coding/extending image analysis in Python.
- jni/napari-midi - Control napari with a USB midi controller
- hiroalchem/napari-labelimg4classification - A simple image-level annotation tool supporting multi-channel images for napari.
- haesleinhuepf/napari-pyfast-image-processing - Use pyFAST's CPU/GPU-accelerated image processing from within napari.
- ianhi/mpl-interactions - Sliders to control matplotlib and other interactive goodies. Works in any interactive backend and even uses ipywidgets when in a Jupyter notebook
- koxudaxi/datamodel-code-generator - Pydantic model generator for easy conversion of JSON, OpenAPI, JSON Schema, and YAML data sources.
- tlambert03/proto-skimage-widgets -
- AllenCellModeling/aicsimageio - Image Reading, Metadata Conversion, and Image Writing for Microscopy Images in Python
- clEsperanto/napari_pyclesperanto_assistant - GPU-accelerated general purpose image processing and image analysis in napari
- royerlab/arbol - arbol - Arborescent Printouts in Python
- xxxnell/spatial-smoothing - (ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness”.
- SforAiDl/vformer - A modular PyTorch library for vision transformer models
- kaidic/HAR - [ICLR 2021] Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization
- snap-stanford/orca - [ICLR 2022] Open-World Semi-Supervised Learning
- snap-stanford/comet - [ICLR 2021] Concept Learners for Few-Shot Learning
- snap-stanford/crust - [NeurIPS 2020] Coresets for Robust Training of Neural Networks against Noisy Labels
- cfchen-duke/ProtoPNet - This code package implements the prototypical part network (ProtoPNet) from the paper "This Looks Like That: Deep Learning for Interpretable Image Recognition" (to appear at NeurIPS 2019), by Chaofan
- yxgeee/SpCL - [NeurIPS-2020] Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID.
- mttr2021/MTTR -
- kkanshul/finegan - FineGAN: Unsupervised Hierarchical Disentanglement for Fine-grained Object Generation and Discovery
- AntreasAntoniou/HowToTrainYourMAMLPytorch - The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.
- facebookresearch/low-shot-shrink-hallucinate - Presenting Low-shot Visual Recognition by Shrinking and Hallucinating Features
- Muzammal-Naseer/Intriguing-Properties-of-Vision-Transformers - Official repository for "Intriguing Properties of Vision Transformers" (NeurIPS 2021--Spotlight)
- samb-t/unleashing-transformers - Code for the ECCV 2022 paper "Unleashing Transformers"
- OFA-Sys/OFA - Official repository of OFA (ICML 2022). Paper: OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework
- kaidic/LDAM-DRW - [NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
- shenweichen/DeepMatch - A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
- iBelieveCJM/Tricks-of-Semi-supervisedDeepLeanring-Pytorch - PseudoLabel 2013, VAT, PI model, Tempens, MeanTeacher, ICT, MixMatch, FixMatch
- LiyuanLucasLiu/Torch-Scope - A Toolkit for Training, Tracking, Saving Models and Syncing Results
- gaocegege/awesome-open-source-mlops - An awesome & curated list of best open source MLOps tools for data scientists.
- moskomule/homura - homura is a library for fast prototyping DL research
- alinlab/M2m - Code for the paper "M2m: Imbalanced Classification via Major-to-minor Translation" (CVPR 2020)
- zhuchen03/gradinit - Learning to Initialize Neural Networks for Stable and Efficient Training
- microsoft/admin-torch - Understanding the Difficulty of Training Transformers
- LiyuanLucasLiu/Transformer-Clinic - Understanding the Difficulty of Training Transformers
- xxxnell/how-do-vits-work - (ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"
- iterative/gto - Git Tag Ops. Turn your Git repository into Artifact Registry.
- plant99/felicette - Satellite imagery for dummies.
- cansarigol/pdbr - pdb + Rich library
- quantacode/Contrastive-Finetuning -
- yassouali/SCL - 📄 Spatial Contrastive Learning for Few-Shot Classification (ECML/PKDD 2021).
- eladrich/pyrallis - Pyrallis is a framework for structured configuration parsing from both cmd and files. Simply define your desired configuration structure as a dataclass and let pyrallis do the rest!
- brentyi/dcargs - Strongly typed, zero-effort CLI interfaces & config objects
- huggingface/data-measurements-tool - Developing tools to automatically analyze datasets
- whai362/PVT -
- ucasligang/SimViT - This is a official repository of SimViT.
- xden2331/attentive_cutmix -
- mle-infrastructure/mle-hyperopt - A Lightweight Hyperparameter Optimization Tool 🚂
- dsouzadaniel/long_tail - Official Codebase for https://arxiv.org/abs/2107.13098
- oke-aditya/py_fresh - Python Project Maker
- pwwang/datar - A Grammar of Data Manipulation in python
- chongruo/pytorch-HED - An implementation of HED in pytorch
- riga/tfdeploy - Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.
- brachiation-rl/brachiation - Learning to Brachiate via Simplified Model Imitation
- mit-han-lab/data-efficient-gans - [NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training
- odegeasslbc/FastGAN-pytorch - Official implementation of the paper "Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis" in ICLR 2021
- GT-RIPL/UNO-IC -
- GT-RIPL/L2C - Learning to Cluster. A deep clustering strategy.
- tjddus9597/Proxy-Anchor-CVPR2020 - Official PyTorch Implementation of Proxy Anchor Loss for Deep Metric Learning, CVPR 2020
- haesleinhuepf/napari-workflows -
- haesleinhuepf/napari-cupy-image-processing -
- junyanz/iGAN - Interactive Image Generation via Generative Adversarial Networks
- PatrickTUM/multimodalCD_ISPRS21 - official repository to share data and code of our study "FUSING MULTI-MODAL DATA FOR SUPERVISED CHANGE DETECTION" accepted and published as a full paper at ISPRS Congress 2021
- isikdogan/deepwatermap - a deep model that segments water on multispectral images
- mle-infrastructure/mle-monitor - A Lightweight Experiment & Resource Monitoring Tool 📺
- openseg-group/openseg.pytorch - The official Pytorch implementation of OCNet series and SegFix.
- pwwang/cmdy - "Shell language" to run command in python
- lartpang/ZoomNet - Zoom In and Out: A Mixed-scale Triplet Network for Camouflaged Object Detection, CVPR 2022
- yuval-alaluf/restyle-encoder - Official Implementation for "ReStyle: A Residual-Based StyleGAN Encoder via Iterative Refinement" (ICCV 2021) https://arxiv.org/abs/2104.02699
- SysCV/transfiner - Mask Transfiner for High-Quality Instance Segmentation, CVPR 2022
- nupurkmr9/vision-aided-gan - Ensembling Off-the-shelf Models for GAN Training (CVPR 2022 Oral)
- clovaai/wsolevaluation - Evaluating Weakly Supervised Object Localization Methods Right (CVPR 2020)
- islam-nassar/semco - Implementation of the paper All Labels Are Not Created Equal: Enhancing Semi-supervision via Label Grouping and Co-training
- mikuhatsune/dap - Detection-Aware Pre-training (DAP) CVPR 2021
- IDEACVR/DINO - Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"
- sebgao/LIP - Code and pretrained models for LIP: Local Importance-based Pooling (ICCV 19)
- angelajiang/SelectiveBackprop - SelectiveBackprop accelerates training by dynamically prioritizing useful examples with high loss
- HazyResearch/tanda - Learning to Compose Domain-Specific Transformations for Data Augmentation
- wyharveychen/CloserLookFewShot - source code to ICLR'19, 'A Closer Look at Few-shot Classification'
- willdickson/h5_logger - Simple HDF5 data logger.
- ZwwWayne/K-Net - [NeurIPS2021] Code Release of K-Net: Towards Unified Image Segmentation
- CVMI-Lab/KDEP - (CVPR2022) Official PyTorch Implementation of KDEP. Knowledge Distillation as Efficient Pre-training: Faster Convergence, Higher Data-efficiency, and Better Transferability
- MkuuWaUjinga/leopart -
- yuexy/PS-ViT - Official implementation of the paper Vision Transformer with Progressive Sampling, ICCV 2021.
- HarfoucheLab/A-Primer-on-AI-in-Plant-Digital-Phenomics -
- Silber93/LeViT_with_FFCV -
- mtli/nntime - Timing utilities for deep learning modules in PyTorch ⏱️
- xuebinqin/U-2-Net - The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
- openai/guided-diffusion -
- ljin0429/HIST - Hypergraph-Induced Semantic Tuplet Loss for Deep Metric Learning [CVPR'22]
- kshitijd20/RSA-CVPR19-release - code for CVPR paper "Representation Similarity Analysis for Efficient Task Taxonomy and Transfer Learning"
- danczs/Visformer -
- Agroecology-Lab/Open-Weeding-Delta - Open Weeding Delta - AI based weed removal robot
- raamana/confounds - Conquering confounds and covariates in machine learning
- WaterKnight1998/SemTorch -
- taspinar/twitterscraper - Scrape Twitter for Tweets
- twintproject/twint - An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.
- google-research/big_vision - Official codebase used to develop Vision Transformer, MLP-Mixer, LiT and more.
- lucidrains/halonet-pytorch - Implementation of the 😇 Attention layer from the paper, Scaling Local Self-Attention For Parameter Efficient Visual Backbones
- kevin-ssy/ViP - Official implementation of the paper Visual Parser: Representing Part-whole Hierarchies with Transformers
- xmu-xiaoma666/External-Attention-pytorch - 🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
- google-research/jax-influence -
- hytseng0509/CrossDomainFewShot - Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)
- lucidrains/x-transformers - A simple but complete full-attention transformer with a set of promising experimental features from various papers
- jindongwang/transferlearning - Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
- median-research-group/LibMTL - A PyTorch Library for Multi-Task Learning
- lorenmt/mtan - The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].
- alexandonian/pretorched-x - Pretrained Image & Video ConvNets and GANs for PyTorch: NASNet, ResNeXt (2D + 3D), ResNet (2D + 3D), InceptionV4, InceptionResnetV2, Xception, DPN, NonLocalNets, R(2+1)D nets, MultiView CNNs, Temporal
- VICO-UoE/URL - Universal Representation Learning from Multiple Domains for Few-shot Classification - ICCV 2021, Cross-domain Few-shot Learning with Task-specific Adapters - CVPR 2022
- WeiHongLee/Learning-to-impute - Learning to Impute: A General Framework for Semi-supervised Learning
- SimonVandenhende/Multi-Task-Learning-PyTorch - PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).
- minyoungg/pix2latent - Code for: Transforming and Projecting Images into Class-conditional Generative Networks
- GT-RIPL/AlwaysBeDreaming-DFCIL - PyTorch code for the ICCV'21 paper: "Always Be Dreaming: A New Approach for Class-Incremental Learning"
- konradhalas/dacite - Simple creation of data classes from dictionaries.
- minimaxir/download-tweets-ai-text-gen - Python script to download public Tweets from a given Twitter account into a format suitable for AI text generation.
- ViCCo-Group/THINGSvision - Python library to extract image features from state-of-the-art neural networks for computer vision
- s0md3v/huepy - Print awesomely in terminals.
- socialpoint-labs/sheetfu - Python library to interact with Google Sheets V4 API
- EscVM/OIDv4_ToolKit - Download and visualize single or multiple classes from the huge Open Images v4 dataset
- chirag126/VOG - Estimating Example Difficulty using Variance of Gradients
- tslgithub/image_class - 基于keras集成多种图像分类模型: VGG16、VGG19、InceptionV3、Xception、MobileNet、AlexNet、LeNet、ZF_Net、ResNet18、ResNet34、ResNet50、ResNet_101、ResNet_152、DenseNet
- rom1504/img2dataset - Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.
- matthias-wright/flaxmodels - Pretrained models for Jax/Flax: StyleGAN2, GPT2, VGG, ResNet, etc.
- lucidrains/DALLE2-pytorch - Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
- koaning/clumper - A small python library that can clump lists of data together.
- koaning/skedulord - captures logs and makes cron more fun
- jayelm/emergent-generalization - Emergent Communication of Generalizations, NeurIPS 2021
- edobobo/p-lightning-template -
- pooya-mohammadi/deep_utils - An open-source toolkit which is full of handy functions, including the most used models and utilities for deep-learning practitioners!
- cvqluu/Angular-Penalty-Softmax-Losses-Pytorch - Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)
- gina9726/Deep-RTC - Codes for "Solving Long-tailed Recognition with Deep Realistic Taxonomic Classifier"
- wgrathwohl/VERA -
- rtqichen/residual-flows - code for "Residual Flows for Invertible Generative Modeling".
- automl/ICGen - Image Classification Dataset Generator
- automl/trivialaugment - This is the official implementation of TrivialAugment and a mini-library for the application of multiple image augmentation strategies including RandAugment and TrivialAugment.
- MSU-MLSys-Lab/DeepAA - [ICLR 2022] "Deep AutoAugment" by Yu Zheng, Zhi Zhang, Shen Yan, Mi Zhang
- williamFalcon/pytorch-lightning-vae - VAE for color images
- pawamoy/duty - A simple task runner.
- kkraoj/leafnet - Species identification using leaf images
- tssweeney/wandb_demo_scripts -
- andrewekhalel/MTL_PAN_SEG - Implementation of "Multi-task Deep Learning for Satellite Image Pansharpening and Segmentation"
- rosinality/swapping-autoencoder-pytorch - Unofficial implementation of Swapping Autoencoder for Deep Image Manipulation (https://arxiv.org/abs/2007.00653) in PyTorch
- merantix/picasso - 🎨 A CNN visualizer
- moabarar/qna - [CVPR2022 - Oral] Official Jax Implementation of Learned Queries for Efficient Local Attention
- Epistimio/orion - Asynchronous Distributed Hyperparameter Optimization.
- rstrudel/segmenter - [ICCV2021] Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation
- zh460045050/SNL_ICCV2021 - Official implementation of the paper ``Unifying Nonlocal Blocks for Neural Networks'' (ICCV'21)
- anniesch/jtt - Code for "Just Train Twice: Improving Group Robustness without Training Group Information"
- senwu/dauphin - An uncertainty-based random sampling algorithm for data augmentation
- senwu/emmental - A deep learning framework for building multimodal multi-task learning systems.
- HazyResearch/fonduer - A knowledge base construction engine for richly formatted data
- HazyResearch/fly -
- HazyResearch/domino -
- HazyResearch/model-patching - Model Patching: Closing the Subgroup Performance Gap with Data Augmentation
- HazyResearch/HoroPCA - Hyperbolic PCA via Horospherical Projections
- HazyResearch/thanos-code - Code release for the paper Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning
- adobe/antialiased-cnns - pip install antialiased-cnns to improve stability and accuracy
- RobustBench/robustbench - RobustBench: a standardized adversarial robustness benchmark [NeurIPS'21 Benchmarks and Datasets Track]
- PatrickZH/DeepCore - Code for coreset selection methods
- ArdhenduBehera/cap -
- TACJu/TransFG - This is the official PyTorch implementation of the paper "TransFG: A Transformer Architecture for Fine-grained Recognition" (Ju He, Jie-Neng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Bai,
- rosinality/tensorfn - Weakly opinionated library for implementing ML models. Less boilerplate, More rigor
- tareknaous/visual-clustering - Visual Clustering: Clustering Plotted Data by Image Segmentation
- feyzaakyurek/subspace-reg - Code for the ICLR2022 paper on Subspace Regularization for few-shot class incremental image classification
- SaynaEbrahimi/Remembering-for-the-Right-Reasons - Official Implementation of Remembering for the Right Reasons (ICLR 2021)
- amazon-research/sccl - Pytorch implementation of Supporting Clustering with Contrastive Learning, NAACL 2021
- DonkeyShot21/cassle - Official repository for the paper "Self-Supervised Models are Continual Learners" (CVPR 2022)
- floringogianu/augment - An offline parallel data augmentation script for images based on PILlow
- VITA-Group/CV_LTH_Pre-training - [CVPR 2021] "The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models" Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Yang Zhang, Michael Car
- hlzhang109/DDG -
- wy1iu/OPT - Implementation for <Orthogonal Over-Parameterized Training> in CVPR'21.
- frgfm/Holocron - PyTorch implementations of recent Computer Vision tricks (ReXNet, RepVGG, Unet3p, YOLOv4, CIoU loss, AdaBelief, PolyLoss)
- eveningglow/multitask-CycleGAN - Pytorch implementation of multitask CycleGAN with auxiliary classification loss
- cavalleria/cavaface - face recognition training project(pytorch)
- neka-nat/pytorch-hdml - Hardness-Aware Deep Metric Learning (CVPR2019) in pytorch
- victoresque/pytorch-template - PyTorch deep learning projects made easy.
- bethgelab/model-vs-human - Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)
- jessevig/bertviz - BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
- zjykzj/pnno - dataset or annotation file format conversion
- AutoRoboCulture/Nindamani-the-weed-removal-robot - Nindamani, the AI based mechanically weed removal robot
- yjhuangcd/CNNF -
- Newbeeer/TRM - Learning Representations that Support Robust Transfer of Predictors
- gpleiss/temperature_scaling - A simple way to calibrate your neural network.
- J535D165/recordlinkage - A powerful and modular toolkit for record linkage and duplicate detection in Python
- MaxHalford/tartine - 🍞 Manipulate dynamic spreadsheets with arbitrary layouts using Python
- rom1504/embedding-reader - Efficiently read embedding in streaming from any filesystem
- ylsung/lightning-semi-supervised-learning - Implementation of semi-supervised learning using PyTorch Lightning
- Alibaba-MIIL/Solving_ImageNet - Official PyTorch implementation of the paper: "Solving ImageNet: a Unified Scheme for Training any Backbone to Top Results" (2022)
- telegraphic/hickle - a HDF5-based python pickle replacement
- fcdl94/MiB - Official code for Modeling the Background for Incremental Learning in Semantic Segmentation https://arxiv.org/abs/2002.00718
- HuangYG123/CurricularFace - CurricularFace(CVPR2020)
- cdjkim/PRS - Official Repository for our ECCV2020 paper: Imbalanced Continual Learning with Partitioning Reservoir Sampling
- Rhyssiyan/DER-ClassIL.pytorch - The official PyTorch code for 'DER: Dynamically Expandable Representation for Class Incremental Learning' accepted by CVPR2021
- gabrieltseng/pycrop-yield-prediction - A PyTorch Implementation of Jiaxuan You's Deep Gaussian Process for Crop Yield Prediction
- mbaradad/learning_with_noise - Learning to See by Looking at Noise
- BGU-CS-VIL/DeepDPM - "DeepDPM: Deep Clustering With An Unknown Number of Clusters" [Ronen, Finder, and Freifeld, CVPR 2022]
- jingxil/Neural-Decision-Forests - An implementation of the Deep Neural Decision Forests in PyTorch
- Computational-Plant-Science/DIRT - Digital Imaging of Root Traits: Extract trait measurements from images of monocot and dicot roots.
- ayanc/plseg - Plant Segmentation with Graph Cuts
- jeromerony/dml_cross_entropy - Code for the paper "A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses" (ECCV 2020 - Spotlight)
- cthoyt/class-resolver - 🔍 Lookup classes and instantiate them with style
- guillermo-navas-palencia/optbinning - Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual explanations.
- microsoft/infinibatch - Efficient, check-pointed data loading for deep learning with massive data sets.
- WenbinLee/CovaMNet - The Pytorch code of "Distribution Consistency based Covariance Metric Networks for Few-shot Learning", AAAI 2019.
- AntixK/PyTorch-VAE - A Collection of Variational Autoencoders (VAE) in PyTorch.
- clcarwin/sphereface_pytorch - A PyTorch Implementation of SphereFace.
- open-mmlab/mmediting - MMEditing is a low-level vision toolbox based on PyTorch, supporting super-resolution, inpainting, matting, video interpolation, etc.
- AdeelH/pytorch-multi-class-focal-loss - An (unofficial) implementation of Focal Loss, as described in the RetinaNet paper, generalized to the multi-class case.
- genforce/genforce - An efficient PyTorch library for deep generative modeling.
- microsoft/FocalNet - Code for Focal Modulation Networks
- DingXiaoH/RepLKNet-pytorch - Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs (CVPR 2022)
- facebookresearch/mvit - Code Release for MViTv2 on Image Recognition.
- shwinshaker/LipGrow - An adaptive training algorithm for residual network
- akanimax/BMSG-GAN - [MSG-GAN] Any body can GAN! Highly stable and robust architecture. Requires little to no hyperparameter tuning. Pytorch Implementation
- vandit15/Class-balanced-loss-pytorch - Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"
- alibaba/easyrobust - EasyRobust: An Easy-to-use Framework for Large-scale Robust Training
- Fangyh09/Image2LMDB - Convert image folder to lmdb, adapted from Efficient-PyTorch
- adambielski/siamese-triplet - Siamese and triplet networks with online pair/triplet mining in PyTorch
- RobertTLange/evosax - Evolution Strategies in JAX 🦎
- Project-AgML/AgML - AgML aims to be a common framework for agricultural machine learning data, models, and evaluation. Currently, AgML provides access to a public agricultural datasets for common agricultural deep learni
- justheuristic/prefetch_generator - Simple package that makes your generator work in background thread
- thuml/CoTuning - Code release for NeurIPS 2020 paper "Co-Tuning for Transfer Learning"
- Z-Zheng/ever - Earth Vision Foundation
- feymanpriv/DOLG-paddle - Paddle Implementation of DOLG (ICCV 2021)
- eBay/AutoOpt - Automatic and Simultaneous Adjustment of Learning Rate and Momentum for Stochastic Gradient Descent
- shengliu66/ConvNorm - Official Implementation of Convolutional Normalization: Improving Robustness and Training for Deep Neural Networks
- shengliu66/ELR - Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels
- nla-group/classix - 🐝 Fast and explainable clustering based on sorting
- decile-team/trust - Efficiently search and mine for specific (targeted) classes/slices in your dataset to improve model performance and personalize your models.
- decile-team/cords - Reduce end to end training time from days to hours (or hours to minutes), and energy requirements/costs by an order of magnitude using coresets and data selection.
- hunto/image_classification_sota - Training ImageNet / CIFAR models with sota strategies and fancy techniques such as ViT, KD, NAS, Rep, etc.
- fastavro/fastavro - Fast Avro for Python
- robvanvolt/DALLE-datasets - This is a summary of easily available datasets for generalized DALLE-pytorch training.
- hexlet-boilerplates/python-package - An example of typical python package
- facebookresearch/convit - Code for the Convolutional Vision Transformer (ConViT)
- facebookresearch/FixRes - This repository reproduces the results of the paper: "Fixing the train-test resolution discrepancy" https://arxiv.org/abs/1906.06423
- philipperemy/n-beats - Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
- qubvel/ttach - Image Test Time Augmentation with PyTorch!
- spotDL/spotify-downloader - Download your Spotify playlists and songs along with album art and metadata (from YouTube if a match is found).
- wbw520/scouter - SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition
- HazyResearch/HypHC - Hyperbolic Hierarchical Clustering.
- ChangyaoTian/VL-LTR - VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition
- dmarnerides/pydlt - PyTorch based Deep Learning Toolbox
- Alibaba-MIIL/ASL - Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(ICCV, 2021) paper
- asteroidhouse/self-tuning-networks - Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088
- YyzHarry/imbalanced-semi-self - [NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning
- YyzHarry/multi-domain-imbalance - [ECCV 2022] Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization, and Beyond
- Simon4Yan/Accuracy-estimation-with-self-supervision - [ICML'21] Estimate the accuracy of the classifier in various environments through self-supervision
- koenrh/delete-tweets - Delete tweets from your timeline.
- wgrathwohl/JEM - Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"
- probtorch/probtorch - Probabilistic Torch is library for deep generative models that extends PyTorch
- ikostrikov/pytorch-flows - PyTorch implementations of algorithms for density estimation
- SkafteNicki/pl_cross -
- google-research/vmoe -
- plotly/dash-slicer - A volume slicer for Dash
- namiyousef/multi-task-learning - Repository for multi task learning
- uploadcare/pillow-simd - The friendly PIL fork
- MegEngine/RepLKNet - Official MegEngine implementation of RepLKNet
- jettify/pytorch-optimizer - torch-optimizer -- collection of optimizers for Pytorch
- joigalcar3/LambdaNetworks -
- Ma-Lab-Berkeley/MCR2 -
- Ma-Lab-Berkeley/ReduNet -
- frank-xwang/RIDE-LongTailRecognition - [ICLR 2021 Spotlight] Pytorch implementation for "Long-tailed Recognition by Routing Diverse Distribution-Aware Experts."
- KMnP/nn-revisit - Rethinking Nearest Neighbors for Visual Classification
- th-b/bla - Bounded logit attention
- singlasahil14/SOC - Code for the ICML 2021 and ICLR 2022 papers: Skew Orthogonal Convolutions, Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100
- MECLabTUDA/Super_Selfish -
- taoyang1122/GradAug - [NeurIPS'20] GradAug: A New Regularization Method for Deep Neural Networks
- Scitator/animus - Minimalistic framework to run machine learning experiments.
- lnsmith54/CFL -
- EndlessSora/focal-frequency-loss - [ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis
- Jittor/jittor - Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.
- MenghaoGuo/Awesome-Vision-Attentions - Summary of related papers on visual attention. Related code will be released based on Jittor gradually.
- yun-liu/LIID - Leveraging Instance-, Image- and Dataset-Level Information for Weakly Supervised Instance Segmentation
- LukasHedegaard/ride - Training wheels, side rails, and helicopter parent for your Deep Learning projects in PyTorch
- yaoyao-liu/class-incremental-learning - PyTorch implementation of AANets (CVPR 2021) and Mnemonics Training (CVPR 2020 Oral)
- tvst/plost - A deceptively simple plotting library for Streamlit
- facebookresearch/Detic - Code release for "Detecting Twenty-thousand Classes using Image-level Supervision".
- hubert0527/infinityGAN - InfinityGAN: Towards Infinite-Resolution Image Synthesis
- 2younis/plant-organ-detection - Detection of plant organs on herbarium scans with Detectron2
- unique-chan/Simple-Image-Classification - Simple Image Classification Code (PyTorch)
- m-dml/hydra_template_project - Template for pytorch-lightning with hydra
- elad-amrani/self-classifier - PyTorch implementation of "Self-Supervised Classification Network" from ECCV 2022
- fcjian/LOCE - Exploring Classification Equilibrium in Long-Tailed Object Detection, ICCV2021
- ZhugeKongan/torch-template-for-deep-learning - Pytorch Implementations of large number classical backbone CNNs, data enhancement, torch loss, attention, visualization and some common algorithms.
- Atharva-Phatak/torchflare - TorchFlare is a simple, beginner-friendly, and easy-to-use PyTorch Framework train your models effortlessly.
- YuehuaZhu/ProxyGML - Official PyTorch Implementation of ProxyGML Loss for Deep Metric Learning, NeurIPS 2020 (spotlight)
- MachineLP/PyTorch_image_classifier - Image classification: efficientnet/resnest/seresnext/.....
- google-research/head2toe -
- sudomaze/cookiecutter-pytorch-lightning - Cookiecutter PyTorch Lightning
- CapPow/HerbASAP - An effort to automate image post processing for natural history collections
- vivien-walter/montages - Python 3 module to create montages of images taken from a folder or from a stack file (.tif)
- todd-cook/auto-label-pipeline - A practical ML pipeline for data labeling with experiment tracking using DVC.
- thuml/LogME - Code release for "LogME: Practical Assessment of Pre-trained Models for Transfer Learning" (ICML 2021) and Ranking and Tuning Pre-trained Models: A New Paradigm for Exploiting Model Hubs (JMLR 2022)
- eladhoffer/utils.pytorch - Utilities for Pytorch
- LukasHedegaard/datasetops - Fluent dataset operations, compatible with your favorite libraries
- muzairkhattak/transformers-transforming-vision - Validating image classification benchmark results on ViTs and ResNets (v2)
- benedekrozemberczki/awesome-community-detection - A curated list of community detection research papers with implementations.
- lefnire/gnothi - Personal journal that uses AI to give insights and resources.
- xu-ji/IIC - Invariant Information Clustering for Unsupervised Image Classification and Segmentation
- sxyu/svox2 - Plenoxels: Radiance Fields without Neural Networks, Code release WIP
- earthcube-lab/buzzard - Advanced raster and geometry manipulations
- cmu-phil/causal-learn - Causal Discovery for Python. Translation and extension of the Tetrad Java code.
- Haochen-Wang409/U2PL - [CVPR 2022] Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels
- PetervanLunteren/EcoAssist - An application for detecting animals in camera trap images
- G-U-N/PyCIL - PyCIL: A Python Toolbox for Class-Incremental Learning
- GChrysostomou/ood_faith -
- VITA-Group/AsViT - [ICLR 2022] "As-ViT: Auto-scaling Vision Transformers without Training" by Wuyang Chen, Wei Huang, Xianzhi Du, Xiaodan Song, Zhangyang Wang, Denny Zhou
- weiaicunzai/Bag_of_Tricks_for_Image_Classification_with_Convolutional_Neural_Networks - experiments on Paper <Bag of Tricks for Image Classification with Convolutional Neural Networks> and other useful tricks to improve CNN acc
- mansheej/data_diet -
- CoinCheung/pytorch-loss - label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful
- msesia/arc - Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems
- gtolias/how - HOW local descriptors
- naver/fire -
- microsoft/torchgeo - TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
- Junjue-Wang/LoveDA - [NeurIPS 2021] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation
- PetrochukM/HParams - Configure Python functions explicitly and safely
- cvg/Hierarchical-Localization - Visual localization made easy with hloc
- mykolakozyr/stacdiscovery - Simple STAC Catalogs discovery tool.
- oegedijk/explainerdashboard - Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
- danielgatis/rembg - Rembg is a tool to remove images background.
- tobgu/pyrsistent - Persistent/Immutable/Functional data structures for Python
- vividvilla/csvtotable - Simple command-line utility to convert CSV files to searchable and sortable HTML table.
- nschloe/dufte - 📈 Minimalistic Matplotlib style
- textstat/textstat - 📝 python package to calculate readability statistics of a text object - paragraphs, sentences, articles.
- lucidrains/lightweight-gan - Implementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image generations that can be trained within a day or two
- aws/amazon-s3-plugin-for-pytorch -
- mwerezak/DearPyGui-Obj - An object-oriented wrapper around DearPyGui
- fidelity/spock - spock is a framework that helps manage complex parameter configurations during research and development of Python applications
- socketteer/loom - Multiversal tree writing interface for human-AI collaboration
- zhanghang1989/PyTorch-Encoding - A CV toolkit for my papers.
- schmidtbri/ml-base - Base classes and utilities that are useful for deploying ML models.
- VITA-Group/Lifelong-Learning-LTH - [ICLR 2021] "Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, Shiyu Chang, Zhangyang Wang
- Visual-Attention-Network/VAN-Classification -
- BeierZhu/xERM - [AAAI 2022 Oral] This is a Pytorch implementation of the AAAI 2022 paper "Cross-Domain Empirical Risk Minimization for Unbiased Long-tailed Classification"
- Alibaba-MIIL/ML_Decoder - Official PyTorch implementation of "ML-Decoder: Scalable and Versatile Classification Head" (2021)
- napari/napari - napari: a fast, interactive, multi-dimensional image viewer for python
- codeslake/Color_Transfer_Histogram_Analogy - [CGI 2020] Official PyTorch Implementation for "Deep Color Transfer using Histogram Analogy"
- rushter/heamy - A set of useful tools for competitive data science.
- gatheluck/FourierHeatmap - Unofficial pytorch implementation of Fourier Heat Map proposed in 'A Fourier Perspective on Model Robustness in Computer Vision' [Yin+, NeurIPS2019]
- microsoft/robustdg - Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.
- rtqichen/ffjord - code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".
- luispedro/mahotas - Computer Vision in Python
- vdevmcitylp/local-descriptors-for-image-classification - Local Descriptors
- ankonzoid/artificio - Deep Learning Computer Vision Algorithms for Real-World Use
- plantnet/PlantNet-300K -
- ej0cl6/deep-active-learning - Deep Active Learning
- dabeaz/dataklasses - A different spin on dataclasses.
- dgtlmoon/changedetection.io - changedetection.io - The best and simplest self-hosted free open source website change detection tracking, monitoring and notification service. An alternative to Visualping, Watchtower etc. Designed f
- arefmalek/airdraw - A vision-based drawing application
- arsenyinfo/qudida - QUick and DIrty Domain Adaptation
- arsenyinfo/hookandlook - A library helping to gather stats and run checks during training deep learning models with Pytorch
- fractal-napari-plugins-collection/napari-feature-classifier -
- haesleinhuepf/napari-accelerated-pixel-and-object-classification - GPU-accelerated, OpenCL-based Random Forest Classifiers for pixel and labeled object classification in napari.
- haesleinhuepf/apoc -
- jgrieb/object-detection-service -
- barnabywalker/deep-specimens - Code used to produce the paper "Harnessing large-scale herbarium image datasets through representation learning".
- mewwts/addict - The Python Dict that's better than heroin.
- koaning/icepickle - It's a cooler way to store simple linear models.
- j3soon/tbparse - Load tensorboard event logs as pandas DataFrames for scientific plotting; Supports both PyTorch and TensorFlow
- MadryLab/backgrounds_challenge -
- pluskid/fitting-random-labels - Example code for the paper "Understanding deep learning requires rethinking generalization"
- unionai-oss/pandera - A light-weight, flexible, and expressive statistical data testing library
- wanggrun/TreeConv - This is a re-implementation of our KDD 2020 paper "Grammatically Recognizing Images with Tree Convolution."
- open-mmlab/mmfewshot - OpenMMLab FewShot Learning Toolbox and Benchmark
- open-mmlab/mim-example -
- open-mmlab/mmgeneration - MMGeneration is a powerful toolkit for generative models, based on PyTorch and MMCV.
- wanggrun/triplet - Code of the paper "Solving Inefficiency of Self-supervised Representation Learning"
- google-research/s4l - Tensorflow implementation of S4L: Self-Supervised Semi-Supervised Learning
- facebookresearch/fair_self_supervision_benchmark - Scaling and Benchmarking Self-Supervised Visual Representation Learning
- ctlab/ITMO_FS - Feature selection library in python
- ethanyanjiali/deep-vision - Learning and replicating famous deep learning models for computer vision tasks
- dome272/MaskGIT-pytorch - Pytorch implementation of MaskGIT: Masked Generative Image Transformer (https://arxiv.org/pdf/2202.04200.pdf)
- modestyachts/imagenet-testbed - ImageNet Testbed, associated with the paper "Measuring Robustness to Natural Distribution Shifts in Image Classification."
- geekjr/quickai - QuickAI is a Python library that makes it extremely easy to experiment with state-of-the-art Machine Learning models.
- joaoperfig/GRaNDPapA - Generator of Rad Names from Decent Paper Acronyms
- fiveai/making-better-mistakes -
- chou141253/FGVC-PIM - Pytorch implementation for "A Novel Plug-in Module for Fine-Grained Visual Classification". fine-grained visual classification task.
- anvoynov/GANLatentDiscovery - The authors official implementation of Unsupervised Discovery of Interpretable Directions in the GAN Latent Space
- zeyademam/active_learning - Code for Active Learning at The ImageNet Scale. This repository implements many popular active learning algorithms and allows training with torch's DDP.
- andobrescu/Leaf-Counting - Code for the paper Leveraging multiple datasets for deep leaf counting.
- linusericsson/ssl-transfer - Official code for the CVPR 2021 paper "How Well Do Self-Supervised Models Transfer?"
- gyhandy/Group-Supervised-Learning - [ICLR 2021] Zero-shot Synthesis with Group-Supervised Learning
- fcakyon/small-object-detection-benchmark - sahi benchmark on visdrone and xview datasets using fcos, vfnet and tood detectors
- fcakyon/confplot - Confusion Matrix in Python: Plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib
- fcakyon/streamlit-image-comparison - Image comparison slider component for Streamlit
- AGOberprieler/GinJinn2 -
- ShawnTylerSchwartz/sashimi - https://doi.org/10.1111/2041-210X.13712
- karpathy/pytorch-made - MADE (Masked Autoencoder Density Estimation) implementation in PyTorch
- jamespark3922/visual-comet - VisualCOMET: Reasoning about the Dynamic Context of a Still Image
- PablocFonseca/streamlit-aggrid - Implementation of Ag-Grid component for Streamlit
- karlhigley/ranking-metrics-torch - Simple ranking metrics for PyTorch on CPU or GPU
- elias-ramzi/ROADMAP - This repository contains the official implementation of the NeurIPS'21 paper, ROADMAP: Robust and Decomposable Average Precision for Image Retrieval.
- jcjohnson/colab-testing -
- alexrame/fishr - Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization
- kahnchana/opl - Official repository for "Orthogonal Projection Loss" (ICCV'21)
- GuillaumeLeclerc/fastargs - Python library for argument and configuration management
- KevinMusgrave/powerful-benchmarker - A library for ML benchmarking. It's powerful.
- evidentlyai/evidently - Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b
- lucidrains/logavgexp-torch - Implementation of LogAvgExp for Pytorch
- ada-shen/ICNN - A pytorch implementation of interpretable convolutional neural network.
- NVlabs/UnseenObjectClustering - Learning RGB-D Feature Embeddings for Unseen Object Instance Segmentation
- JorisJoBo/treedentifier - This project allows users to use LiDAR data to identify trees on specific coordinates.
- cleanlab/cleanlab - The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
- danfenghong/IEEE_TGRS_MDL-RS - Danfeng Hong, Lianru Gao, Naoto Yokoya, Jing Yao, Jocelyn Chanussot, Qian Du, Bing Zhang. More Diverse Means Better: Multimodal Deep Learning Meets Remote Sensing Imagery Classification, IEEE TGRS, 2
- brycefrank/pyfor - Tools for analyzing aerial point clouds of forest data.
- asweigart/pyautogui - A cross-platform GUI automation Python module for human beings. Used to programmatically control the mouse & keyboard.
- junyanz/pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch
- facebookresearch/ConvNeXt - Code release for ConvNeXt model
- isaaccorley/torchrs - PyTorch implementation of popular datasets and models in remote sensing
- robustness-gym/meerkat - Flexible data structures for complex machine learning datasets.
- ofnote/gestop - A tool to navigate the desktop with hand gestures. Builds on mediapipe.
- CDTrans/CDTrans - [ICLR2022] CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation
- NVlabs/imaginaire - NVIDIA's Deep Imagination Team's PyTorch Library
- NVlabs/FUNIT - Translate images to unseen domains in the test time with few example images.
- libffcv/ffcv - FFCV: Fast Forward Computer Vision (and other ML workloads!)
- simonw/s3-credentials - A tool for creating credentials for accessing S3 buckets
- JindongJiang/SCALOR - Official PyTorch implementation of "SCALOR: Generative World Models with Scalable Object Representations"
- p-lambda/wilds - A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.
- biasvariancelabs/aitlas - AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.
- NVlabs/stylegan2-ada - StyleGAN2 with adaptive discriminator augmentation (ADA) - Official TensorFlow implementation
- hariharan-devarajan/dlio_benchmark - This is repository for a I/O benchmark which represents Scientific Deep Learning Workloads.
- facebookresearch/recipes - Recipes are a standard, well supported set of blueprints for machine learning engineers to rapidly train models using the latest research techniques without significant engineering overhead.Specifical
- wkentaro/labelme - Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
- tebelorg/RPA-Python - Python package for doing RPA
- fmcarlucci/JigenDG - Repository for the CVPR19 oral paper "Domain Generalization by Solving Jigsaw Puzzles"
- shakedzy/dython - A set of data tools in Python
- CBICA/GaNDLF - A generalizable application framework for segmentation, regression, and classification using PyTorch
- fcakyon/labelme2coco - A lightweight package for converting your labelme annotations into COCO object detection format.
- maguowei/starred - creating your own Awesome List by GitHub stars!
- cgarciae/treeo - A small library for creating and manipulating custom JAX Pytree classes
- jina-ai/docarray - The data structure for unstructured multimodal data
- mcleavey/musical-neural-net - Train an LSTM to generate piano or violin/piano music.
- JoeriHermans/awflow - Reproducible research and reusable acyclic workflows in Python. Execute code on HPC systems as if you executed them on your personal computer!
- easezyc/deep-transfer-learning - A collection of implementations of deep domain adaptation algorithms
- Santosh-Gupta/SpeedTorch - Library for faster pinned CPU <-> GPU transfer in Pytorch
- jaraco/pip-run - pip-run - dynamic dependency loader for Python
- deepchecks/deepchecks - Test Suites for Validating ML Models & Data. Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort.
- lgiordani/rentomatic - A demo implementation of a clean architecture in Python
- google/uncertainty-baselines - High-quality implementations of standard and SOTA methods on a variety of tasks.
- timothycrosley/portray - Your Project with Great Documentation.
- obss/sahi - A lightweight vision library for performing large scale object detection/ instance segmentation.
- ustunb/actionable-recourse - python tools to check recourse in linear classification
- MartinThoma/cfg_load - Load config files the right way
- mosharaf/eecs598 - Advanced Topics on Systems for X
- MartinThoma/cookiecutter-python-package - Cookiecutter template for a Python package.
- gruns/icecream - 🍦 Never use print() to debug again.
- coddingtonbear/safdie - Easily make your app extensible by you or others via use of setuptools entrypoints.
- antoinebrl/torchextractor - Feature extraction made simple with torchextractor
- alegonz/baikal - A graph-based functional API for building complex scikit-learn pipelines.
- ZiwenZhuang/exptools - A unified experiment deploy, logging, visualizatoin, comparsion tool from utils in astooke/rlpyt
- pytask-dev/pytask - pytask is a workflow management system which facilitates reproducible data analyses.
- pyrustic/pyrustic - Collection of lightweight Python projects that share the same policy
- nschloe/matplotx - 📊 More styles and useful extensions for Matplotlib
- ahmed-mohamed-sn/olliePy - OlliePy is a python package which can help data scientists in exploring their data and evaluating and analysing their machine learning experiments by utilising the power and structure of modern web ap
- ypxie/pytorch-NeuCom - Pytorch implementation of DeepMind's differentiable neural computer paper.
- awentzonline/image-analogies - Generate image analogies using neural matching and blending.
- ricklupton/floweaver - View flow data as Sankey diagrams
- agermanidis/pigeon - 🐦 Quickly annotate data from the comfort of your Jupyter notebook
- WenbinLee/DN4 - The Pytorch code of "Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning", CVPR 2019.
- google/tirg - deep learning, image retrieval, vision and language
- tmadl/highdimensional-decision-boundary-plot - Estimating and plotting the decision boundary (decision surface) of machine learning classifiers in higher dimensions (scikit-learn compatible)
- audreyfeldroy/cookiecutter-pypackage - Cookiecutter template for a Python package.
- rednafi/rubric - Linter Config Initializer for Python
- martinRenou/ipycanvas - Interactive Canvas in Jupyter
- toshas/torch-fidelity - High-fidelity performance metrics for generative models in PyTorch
- serre-lab/serrelabmodels - Repository to create a public python library to import in-house models.
- iKernels/transformers-lightning - A collection of Models, Datasets, DataModules, Callbacks, Metrics, Losses and Loggers to better integrate pytorch-lightning with transformers.
-
rentruewang/koila - Prevent PyTorch's
CUDA error: out of memory
in just 1 line of code. - qixinbo/OneButtonDeepLearning - Graphic User Interface for Deep learning to make it used easily,让深度学习算法触手可及、一键调用
- Image-Py/imagepy - Image process framework based on plugin like imagej, it is esay to glue with scipy.ndimage, scikit-image, opencv, simpleitk, mayavi...and any libraries based on numpy
- druths/arghandler - An extension to argparse that adds high-level and time-saving capabilities
- starhel/dataslots - dataslots decorator for dataclasses
- ionelmc/python-fields - A totally different take on container boilerplate.
- ionelmc/cookiecutter-pylibrary - Enhanced cookiecutter template for Python libraries.
- frgfm/torch-scan - Seamless analysis of your PyTorch models (RAM usage, FLOPs, MACs, receptive field, etc.)
- brettcannon/desugar - Unravelling Python source code
- Teemu/pytest-sugar - a plugin for py.test that changes the default look and feel of py.test (e.g. progressbar, show tests that fail instantly)
- TomaszGolan/hdf5_manipulator -
- alvinwan/nbdt-pytorch-image-models - Neural-Backed Decision Tree sample integration with pytorch-image-models
- filipradenovic/cnnimageretrieval-pytorch - CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch
- kevinzakka/pytorch-goodies - PyTorch Boilerplate For Research
- carderne/gridfinder - Algorithm for guessing MV grid location based on NTL
- montefiore-ai/hypothesis - A Python toolkit for (simulation-based) inference and the mechanization of science.
- Bishalsarang/Recursion-Tree-Visualizer - A simple python package that helps to visualise any recursive function by adding a single line of code.
- kianweelee/Edator - A python package that performs exploratory data analysis for users. Additionally, it generates 3 types of output files (cleaned CSV, plots and a text report).
- alvinwan/neural-backed-decision-trees - Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
- pyrustic/shared - Triptych for data exchange and persistence
- pyrustic/probed - Probed collections
- google/caliban - Research workflows made easy, locally and in the Cloud.
- bzamecnik/sanctuary - Managed machine-learning model training tool based on sacred.
- wsgharvey/pytorch-utils - Various vaguely PyTorch-related helper functions and base classes to use across projects.
- rstojnic/lazydata - Lazydata: Scalable data dependencies for Python projects
- rajatvd/ProjectTemplate - Template for pytorch projects using sacred, visdom and pytorch-utils
- tpietruszka/hyperspace_explorer - Tracking, queueing and distributed execution of ML/DL experiments. Helping define and semi-automatically explore hyper-parameter spaces.
- DanielhCarranza/ml-production-template - This codebase is a starting point to get your Machine Learning project into Production.
- funkelab/lsd - 🌈
- j-cb/GOOD - Provable Worst Case Guarantees for the Detection of Out-of-Distribution Data
- AlexMeinke/Provable-OOD-Detection - Guarantees on the behavior of neural networks don't always have to come at the cost of performance.
- microsoft/Focal-Transformer - Official code for our NeurIPS 2021 Spotlight "Focal Self-attention for Local-Global Interactions in Vision Transformers"
- mtli/HTML4Vision - A simple HTML visualization tool for computer vision research 🛠️
- KevinMusgrave/record-keeper - Record experiment data easily
- KevinMusgrave/pytorch-adapt - Domain adaptation made easy. Fully featured, modular, and customizable.
- joaomcteixeira/python-project-skeleton - An up-to-date and explanatory Python project skeleton with continuous integration services.
- neithere/argh - An argparse wrapper that doesn't make you say "argh" each time you deal with it.
- jbwang1997/OBBDetection - OBBDetection is an oriented object detection library, which is based on MMdetection.
- jborg/attic - Deduplicating backup program
- dgilland/hashfs - A content-addressable file management system for Python.
- pyiron/pyfileindex - PyFileIndex - pythonic file system index
- andhus/dirhash-python - Python module and CLI for hashing of file system directories based on the Dirhash Standard.
- jedie/PyInventory - Web based management to catalog things including state and location etc. using Python/Django.
- jedie/PyHardLinkBackup - Hardlink/Deduplication Backups with Python
- dccsillag/logrun - Convenient experiment logging in Python.
- microsoft/PyMarlin - Lightweight Deep Learning Model Training library based on PyTorch
- mosaicml/composer - Train neural networks up to 7x faster
- amesar/mlflow-tools - Tools for MLflow
- amesar/mlflow-model-monitoring -
- ctuning/ck-mlflow - Collective Knowledge components and workflows for MLFlow:
- nsidn98/PyThor - Template for projects in PyTorch powered with PyTorch Lightning, Telegrad and MLflow. Get updates on mobile and streamline PyTorch code for research.
- nielsrolf/pandas_db - A minimalistic helper to track hyperparameters, metrics and artifacts. Instead of tensorboard or mlflow ui, you get to use jupyter to look at your data.
- hppRC/template-pytorch-lightning-hydra-mlflow-poetry - An easy to use ML template project using Pytorch-Lightning, Hydra, Mlflow, and Poetry.
- L1aoXingyu/Deep-Learning-Project-Template - A best practice for deep learning project template architecture.
- saturncloud/dask-pytorch-ddp - dask-pytorch-ddp is a Python package that makes it easy to train PyTorch models on dask clusters using distributed data parallel.
- scikit-learn-contrib/metric-learn - Metric learning algorithms in Python
- Confusezius/Characterizing_Generalization_in_DeepMetricLearning - Implementation and Benchmark Splits to study Out-of-Distribution Generalization in Deep Metric Learning.
- VLL-HD/FrEIA - Framework for Easily Invertible Architectures
- cgarciae/dataget - A framework-agnostic datasets library for Machine Learning research and education.
- zurutech/ashpy - TensorFlow 2.0 library for distributed training, evaluation, model selection, and fast prototyping.
- inferno-pytorch/speedrun-springboard - Boilerplate repository showing how to speedrun from idea to a reproducible experiment setup.
- gatapia/py_ml_utils - Some small utility modules to help with pandas, numpy and sklearn usage in other projects
- MartinThoma/clana - CLANA is a toolkit for classifier analysis.
- juglab/FourierImageTransformer - Fourier Image Transformer (FIT) can solve relevant image analysis tasks in Fourier space.
- google-research/meta-dataset - A dataset of datasets for learning to learn from few examples
- hora-search/horapy - 🐍 Python bidding for the Hora Approximate Nearest Neighbor Search Algorithm library
- TorchSSL/TorchSSL - A PyTorch-based library for semi-supervised learning (NeurIPS'21)
- antofuller/configaformers - A python library for highly configurable transformers - easing model architecture search and experimentation.
- criteo/autofaiss - Automatically create Faiss knn indices with the most optimal similarity search parameters.
- viktivan19/monitoring - Example model for data and model monitoring
- synthesized-io/fairlens - Identify bias and measure fairness of your data
- eora-ai/torchok - Production-oriented Computer Vision models training pipeline for common tasks: classification, segmentation, detection and representation🥤
- YontiLevin/Embeddings2Image - create "Karpathy's style" 2d images out of your image embeddings
- TezRomacH/safitty - Safitty is a wrapper on JSON/YAML configs for Python
- TezRomacH/layer-to-layer-pytorch - PyTorch implementation of L2L execution algorithm
- TezRomacH/python-package-template - 🚀 Your next Python package needs a bleeding-edge project structure.
- asappresearch/flambe - An ML framework to accelerate research and its path to production.
- swansonk14/p_tqdm - Parallel processing with progress bars
- kritiksoman/GIMP-ML - AI for GNU Image Manipulation Program
- droyed/benchit - Benchmarking tools for Python
- photosynthesis-team/piq - Measures and metrics for image2image tasks. PyTorch.
- polyaxon/datatile - A library for managing, validating, summarizing, and visualizing data.
- DataHerb/dataherb-python - Python Package for DataHerb: create, search, and load datasets.
- kmiller96/conduits - Declarative Data Pipelines
- SmokinCaterpillar/pypet - The new python parameter exploration toolbox. pypet manages exploration of the parameter space and data storage into HDF5 files for you.
- Delaunay/mlbaselines - Modular Framework for Machine Learning
- dbieber/GoNoteGo - Go Note Go is a note-taking system for when you're on the go, with a focus on driving and camping.
- ootts/deep_learning_template -
- d6t/d6tflow - Python library for building highly effective data science workflows
- ccs-amsterdam/compendium - Research compendium for reproducible research
- haesleinhuepf/stackview - Interactive image stack viewing in jupyter notebooks based on ipycanvas and ipywidgets
- alexellis/growlab - A global contest to grow and monitor your own food with Raspberry Pi
- KaiyangZhou/CoOp - Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)
- CompVis/iin - A Disentangling Invertible Interpretation Network
- Confusezius/ICCV2019_MIC - (ICCV 2019) This repo contains code for "MIC: Mining Interclass Characteristics for Improved Metric Learning", which proposes an auxiliary training task to explain away intra-class variations.
- AwardOfSky/TensorGP - A vectorized approach to Genetic Programming
- HunterMcGushion/hyperparameter_hunter - Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
- data-describe/data-describe - data⎰describe: Pythonic EDA Accelerator for Data Science
- danijar/handout - Turn Python scripts into handouts with Markdown and figures
- rajesh-lab/ddlk - Deep direct likelihood knockoffs
- julrog/nn_vis - A project for processing neural networks and rendering to gain insights on the architecture and parameters of a model through a decluttered representation.
- pwwang/simplug - A simple plugin system for python with async hooks supported
-
sfu-db/dataprep - DataPrep — The easiest way to prepare data in Python. You can collect data from common data sources through
connector
, do exploratory data analysis througheda
, clean and standardize data through - pyscaffold/pyscaffold - 🛠 Python project template generator with batteries included
- ing-bank/popmon - Monitor the stability of a Pandas or Spark dataframe ⚙︎
- IDSIA/sacred - Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
- feast-dev/feast - Feature Store for Machine Learning
- shibuiwilliam/mlflow_hydra_optuna_the_easy_way - combination of mlflow, hydra and optuna in the easy way
- graphsignal/graphsignal - Inference profiling and monitoring for any model and deployment
- fubel/sparselandtools - ✨ A Python package for sparse representations and dictionary learning, including matching pursuit, K-SVD and applications.
- andrewekhalel/sewar - All image quality metrics you need in one package.
- aazuspan/sankee - Visualize classified time series data with interactive Sankey plots in Google Earth Engine
- rentruewang/learning-machine - A handbook for ML built on answers.
- jotaf98/simple-tar-dataset - An unopinionated replacement for PyTorch's Dataset and ImageFolder, that handles Tar archives
- YacineAll/ViT-pytorch_lightning -
- facebookresearch/BalancingGroups - Simple data balancing baselines for worst-group-accuracy benchmarks.
- jotaf98/overboard - Pure Python dashboard for monitoring deep learning experiments (like TensorBoard for PyTorch/JAX/etc, without a browser)
- k-han/AutoNovel - "Automatically Discovering and Learning New Visual Categories with Ranking Statistics" by Kai Han, Sylvestre-Alvise Rebuffi, Sebastien Ehrhardt, Andrea Vedaldi, Andrew Zisserman (ICLR 2020)
- sud0301/essentials_for_CIL - Official repository of the paper 'Essentials for Class Incremental Learning'
- sgvaze/osr_closed_set_all_you_need - Official repo for our ICLR 22 Oral paper: "Open-Set Recognition: a Good Closed-Set Classifier is All You Need?"
- facebookresearch/deit - Official DeiT repository
- youngerous/dec-pytorch - Unsupervised Deep Embedding for Clustering Analysis (DEC)
- zhmiao/OpenLongTailRecognition-OLTR - Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)
- facebookresearch/deepcluster - Deep Clustering for Unsupervised Learning of Visual Features
- HobbitLong/SupContrast - PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
- yukimasano/self-label - Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)
- kgl-prml/Contrastive-Adaptation-Network-for-Unsupervised-Domain-Adaptation - pytorch implementation for Contrastive Adaptation Network
- wvangansbeke/Unsupervised-Classification - SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
- GlassyWing/gon_emb - Using fourier feature mapping Strengthen GON (《Gradient Origin Networks》)'s performance
- ncullen93/torchsample - High-Level Training, Data Augmentation, and Utilities for Pytorch
- cwkx/GON - Gradient Origin Networks - a new type of generative model that is able to quickly learn a latent representation without an encoder
- tczhangzhi/awesome-normalization-techniques - Papers for normalization techniques, released codes collections.
- jozhang97/side-tuning - sidetuning.berkeley.edu
- idiap/fullgrad-saliency - Full-gradient saliency maps
- jeremyjordan/model_test - A proof of concept library for generating and running machine learning model tests
- dslp/dslp-repo-template - Template repository for data science lifecycle project
- dahyun-kang/renet - [ICCV'21] Official PyTorch implementation of Relational Embedding for Few-Shot Classification
- Muzammal-Naseer/TTP - Official repository for "On Generating Transferable Targeted Perturbations" (ICCV 2021)
- CodedotAl/gpt-code-clippy - Full description can be found here: https://discuss.huggingface.co/t/pretrain-gpt-neo-for-open-source-github-copilot-model/7678?u=ncoop57
- pengzhiliang/MAE-pytorch - Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners
- AntixK/PyTorch-Model-Compare - Compare neural networks by their feature similarity
- wchliao/multi-task-image-classification - Multi-task learning for image classification implemented in PyTorch.
- marcoancona/DeepExplain - A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also includes support for Shapley Values sampling. (ICLR 2018)
- ptrblck/pytorch_misc - Code snippets created for the PyTorch discussion board
- facebookresearch/InvarianceUnitTests - Toy datasets to evaluate algorithms for domain generalization and invariance learning.
- tom-doerr/zsh_codex - This is a ZSH plugin that enables you to use OpenAI's Codex AI in the command line.
- ruotianluo/lmdbdict - A simple wrapper for lmdb. Support dict-like operations.
- mle-infrastructure/mle-scheduler - A Lightweight Cluster/Cloud VM Job Management Tool 🚀
- Lightning-AI/lightning-transformers - Flexible components pairing 🤗 Transformers with Pytorch Lightning
- awaelchli/pytorch-skeleton - A skeleton for training neural networks in PyTorch
- chrieke/streamlit-keplergl - 🗾 Streamlit Component for rendering kepler.gl maps
- chrieke/awesome-geospatial-companies - 🌐 List of 500+ geospatial companies (GIS, Earth Observation, UAV, Satellite, Digital Farming, ..)
- koaning/memo - Decorators that help you remember.
- asottile/git-code-debt - A dashboard for monitoring code debt in a git repository.
- koaning/scikit-lego - Extra blocks for scikit-learn pipelines.
- koaning/embetter - a bunch of embeddings to get started
- koaning/doubtlab - Doubt your data, find bad labels.
- Phoenix1153/ViT_OOD_generalization -
- se2p/pynguin - The PYthoN General UnIt Test geNerator is a test-generation tool for Python
- Vanint/Core-tuning - This repository is the official implementation of Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning (NeurIPS21).
- optimass/Maximally_Interfered_Retrieval - Codebase for "Online Continual Learning with Maximally Interfered Retrieval"
- breuleux/hrepr - HTML representation for Python objects.
- GMvandeVen/continual-learning - PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.
- vturrisi/solo-learn - solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
- tk1980/tvMF - t-vMF Similarity for Regularizing Intra-Class Feature Distribution
- open-mmlab/mmselfsup - OpenMMLab Self-Supervised Learning Toolbox and Benchmark
- IreneBrugnara/PSRL-olfactory-search -
- lightly-ai/lightly - A python library for self-supervised learning on images.
- google/mentornet - Code for MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks
- AI-secure/multi-task-learning - Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxiang Wang, Han Zhao, Bo Li.
- stitchfix/hamilton - A scalable general purpose micro-framework for defining dataflows. You can use it to create dataframes, numpy matrices, python objects, ML models, etc.
- naver-ai/calm -
- facebookresearch/classifier-balancing - This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 2020
- major196512/vistem - General Vision Model Training Template
- meliketoy/fine-tuning.pytorch - Pytorch implementation of fine tuning pretrained imagenet weights
- sicara/easy-few-shot-learning - Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
- geezacoleman/OpenWeedLocator - An open-source, low-cost, image-based weed detection device for fallow scenarios.
- Confusezius/Revisiting_Deep_Metric_Learning_PyTorch - (ICML 2020) This repo contains code for our paper "Revisiting Training Strategies and Generalization Performance in Deep Metric Learning" (https://arxiv.org/abs/2002.08473) to facilitate consistent re
- thuml/Self-Tuning - Code release for "Self-Tuning for Data-Efficient Deep Learning" (ICML 2021)
- emaballarin/ebtorch - 🔥 Collection of PyTorch additions, extensions, utilities, uses and abuses... for personal use
- criteo-research/pytorch-ada - Another Domain Adaptation library, aimed at researchers.
- drgrib/dotmap - Dot access dictionary with dynamic hierarchy creation and ordered iteration
- utkuozbulak/pytorch-custom-dataset-examples - Some custom dataset examples for PyTorch
- bigmlcom/bigmler - A higher-level API to BigML's API
- JuantonioMS/dummylearning - Machine Learning for dummies
- miracleyoo/mlib - Personal library for python.
- cccntu/multi_task_utils - A simple python package for multi-task training: wrappers for pytorch DataLoader and pytorch-lightning DataModule
- RaptorMai/online-continual-learning - A collection of online continual learning paper implementations and tricks for computer vision in PyTorch, including our ASER(AAAI-21), SCR(CVPR21-W) and an online continual learning survey (Neurocomp
- facebookresearch/dora - Dora is an experiment management framework. It expresses grid searches as pure python files as part of your repo. It identifies experiments with a unique hash signature. Scale up to hundreds of experi
- ml4a/ml4a - A python library and collection of notebooks for making art with machine learning.
- TidalPaladin/combustion - Collection of helpers for deep learning with PyTorch
- kuutsav/MLOps - MLOps template with examples for Data pipelines, ML workflow management, API development and Monitoring.
- kozodoi/dptools - Python package with utilities for data processing, aggregation, feature engineering and data versioning
- facebookresearch/salina - a Lightweight library for sequential learning agents, including reinforcement learning
- abhishekkrthakur/tez - Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle over 90% of deep learning projects in PyTorch.
- davinnovation/pytorch-boilerplate - The OTHER pytorch boilerplate
- DonkeyShot21/UNO - Official implementation of "A Unified Objective for Novel Class Discovery", ICCV2021 (Oral)
- Johswald/learning_where_to_learn -
- p-s-vishnu/cassava-leaf-disease-classification - Differentiate Cassava leaf diseases from a healthy one with a solution as simple as pip install cassava-classifier. 🍃🍂
- tchaton/pytorch2lightning -
- Zulko/easyAI - Python artificial intelligence framework for games
- pytorch/torcharrow - A torch.Tensor-like DataFrame library for data processing in PyTorch models
- ContinualAI/continual-learning-baselines - Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and other strategies.
- Xunius/Menotexport - Python solution to export annotations from your Mendeley library.
- ddkang/advex-uar - Code for "Testing Robustness Against Unforeseen Adversaries"
- lightly-ai/NvidiaTLTActiveLearning - Tutorial on active learning with the Nvidia Transfer Learning Toolkit (TLT).
- mattochal/imbalanced_fsl_public - PyTorch implementation for "Few-Shot Learning with Class Imbalance"
- vykhvan/ml-devops-reproducible-workflow - Building a Reproducible Model Workflow
- akanz1/klib - Easy to use Python library of customized functions for cleaning and analyzing data.
- valeoai/obow -
- jina-ai/finetuner - Task-oriented finetuning for better embeddings on neural search
- rsalmei/alive-progress - A new kind of Progress Bar, with real-time throughput, ETA, and very cool animations!
- vturrisi/watchdog_man - Log and monitor experiments with your favorite neighborhood hero
- vict0rsch/minydra - 🦎 Minimal Python command-line parser inspired by Facebook's Hydra. Handles and parses arbitrary arguments into dot-accessible nested dictionaries.
- The-Dev-Effect/reliquery - Science's Artifact Antiformat
- related-sciences/articat - articat: data artifact catalog
- google-research/scenic - Scenic: A Jax Library for Computer Vision Research and Beyond
- rjbruin/flexconv - Code repository for the ICLR 2022 paper "FlexConv: Continuous Kernel Convolutions With Differentiable Kernel Sizes" https://openreview.net/forum?id=3jooF27-0Wy
- NVlabs/selfsupervised-denoising - High-Quality Self-Supervised Deep Image Denoising - Official TensorFlow implementation of the NeurIPS 2019 paper
- henriquebastos/python-decouple - Strict separation of config from code.
- bethgelab/robustness - Robustness and adaptation of ImageNet scale models. Pre-Release, stay tuned for updates.
- MaxHalford/pytorch-resample - 🎲 Iterable dataset resampling in PyTorch
- google/duet -
- metachris/logzero - Robust and effective logging for Python 2 and 3.
- KaiyangZhou/ssdg-benchmark - Benchmarks for semi-supervised domain generalization.
- asundaresan/import_media - Python utilities for importing photos and media
- KaiyangZhou/pytorch-center-loss - Pytorch implementation of Center Loss
- hav4ik/Hydra - Multi-Task Learning Framework on PyTorch. State-of-the-art methods are implemented to effectively train models on multiple tasks.
- hirune924/lightning-hydra -
- broadinstitute/ml4h -
- AlexImmer/Laplace - Laplace approximations for Deep Learning.
-
isms/dotfiles-copier - A single script to copy all of your scattered config files to a specified directory. Can automatically
git commit
changes. - oke-aditya/quickvision - An Easy To Use PyTorch Computer Vision Library
- Evgeneus/Graph-Domain-Adaptaion - PyTorch code for the paper "Curriculum Graph Co-Teaching for Multi-target Domain Adaptation" (CVPR2021)
- mle-infrastructure/mle-logging - A Lightweight ML Experiment Logging Tool 📖
- damnever/pigar - ☕ A tool to generate requirements.txt for your Python project, and more than that. (IT IS NOT A PACKAGE MANAGEMENT TOOL)
- krandiash/quinine - A library to create and manage configuration files, especially for machine learning projects.
- deel-ai/xplique - 👋 Xplique is a Neural Networks Explainability Toolbox
- mblondel/fenchel-young-losses - Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses
- mit-ll-responsible-ai/hydra-zen - Configurable, reproducible, and scalable Python programs, via Hydra
- cipriancorneanu/dnn-topology - Computing topological cavities of deep neural networks
- iCGY96/APR - [ICCV 2021] Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain
- SeldonIO/alibi-detect - Algorithms for outlier, adversarial and drift detection
- Erlemar/pytorch_tempest - My repo for training neural nets using pytorch-lightning and hydra
- oval-group/mlogger - a lightweight and simple logger for Machine Learning
- dvschultz/dataset-tools - Tools for quickly normalizing image datasets
- jacobgil/vit-explain - Explainability for Vision Transformers
- LuoXin-s/liif-lightning-hydra - An reimplement of liif(Learning Continuous Image Representation with Local Implicit Image Function) using lightning+hydra
- HazyResearch/mandoline - (ICML 2021) Mandoline: Model Evaluation under Distribution Shift
- inferno-pytorch/inferno - A utility library around PyTorch
- inferno-pytorch/speedrun - Research code need not be ugly.
- mjkvaak/ImageDataAugmentor - Custom image data generator for TF Keras that supports the modern augmentation module albumentations
- conor-horgan/spectrai - spectrai: a deep learning framework for spectral data
- airbnb/knowledge-repo - A next-generation curated knowledge sharing platform for data scientists and other technical professions.
- FangjinhuaWang/PatchmatchNet - Official code of PatchmatchNet (CVPR 2021 Oral)
- weecology/DeepTreeAttention - Implementation of Hang et al. 2020 "Hyperspectral Image Classification with Attention Aided CNNs" for tree species prediction
- ben-arnao/StoRM - A neural network hyper parameter tuner
- Mayukhdeb/rover - Reverse engineer your pytorch vision models, in style
- AndrewRook/prefect_ds - Tools for making Prefect work better for typical data science workflows
- tiangolo/sqlmodel - SQL databases in Python, designed for simplicity, compatibility, and robustness.
- PistonY/torch-toolbox - 🛠 Toolbox to extend PyTorch functionalities
- zhangyongshun/BagofTricks-LT - A scientific and useful toolbox, which contains practical and effective long-tail related tricks with extensive experimental results
- michaelsdr/momentumnet - Drop-in replacement for any ResNet with a significantly reduced memory footprint and better representation capabilities
- rossant/awesome-math - A curated list of awesome mathematics resources
- fridiculous/estimators - Machine Learning Versioning made Simple
- gecko984/supervenn - supervenn: precise and easy-to-read multiple sets visualization in Python
- EleutherAI/pyfra - Python Research Framework
- Oldpan/Pytorch-Memory-Utils - pytorch memory track code
- jic-dtool/dtoolcore - Core API to manage (scientific) data
- hristo-vrigazov/dnn.cool - A framework for multi-task learning, where you may precondition tasks and compose them into bigger tasks. Conditional objectives and per-task evaluations and interpretations.
- m3dev/gokart - Gokart solves reproducibility, task dependencies, constraints of good code, and ease of use for Machine Learning Pipeline.
- facebookresearch/open_lth - A repository in preparation for open-sourcing lottery ticket hypothesis code.
- lucko515/cnn-raccoon - Create interactive dashboards for your Convolutional Neural Networks with a single line of code!
- lewis-morris/mapextrackt - Pytorch Feature Map Extractor
- KevinMusgrave/easy-module-attribute-getter - Fetch and initialize objects in one line, without any if-statements or dictionaries. Merge and override complex config options at the command line.
- apple/learning-subspaces -
- jonaswinkler/paperless-ng - A supercharged version of paperless: scan, index and archive all your physical documents
- tianyu-su/torchfurnace - A tool package for training model, pre-processing dataset and managing experiment record in pytorch AI tasks.
- rom1mouret/domain_identification -
- mahmoud/apatite - Awesomer awesome list management and analysis, originally designed for Awesome Python Applications: https://github.com/mahmoud/awesome-python-applications
- TorchEnsemble-Community/Ensemble-Pytorch - A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.
- achaiah/pywick - High-level batteries-included neural network training library for Pytorch
- DagsHub/fds - Fast Data Science, AKA fds, is a CLI for Data Scientists to version control data and code at once, by conveniently wrapping git and dvc
- fmu2/PyTorch-MAML - A PyTorch implementation of Model Agnostic Meta-Learning (MAML) that faithfully reproduces the results from the original paper.
- peterjc/thapbi-pict - Tree Health and Plant Biosecurity Initiative - Phytophthora ITS1 Classifier Tool
- kevin-ssy/FishNet - Implementation code of the paper: FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction, NeurIPS 2018
- blakechi/ComVEX - Implementations of Recent Papers in Computer Vision
- pengyan510/torcheck -
- FragileTech/fragile - Framework for building algorithms based on FractalAI
- explosion/catalogue - Super lightweight function registries for your library
- PiePline/pietoolbelt - Toolbelt for PiePline training pipeline
- jonasrauber/eagerpy - PyTorch, TensorFlow, JAX and NumPy — all of them natively using the same code
- SsnL/PyTorch-Reparam-Module - Reparameterize your PyTorch modules
- yoshitomo-matsubara/torchdistill - A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆20 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained
- jinfagang/nb - Neural Network Blocks - Collect all kinds of fancy model blocks for you to build more powerful neural network model.
- chrisby/torchMTL - A lightweight module for Multi-Task Learning in pytorch.
- fidler-lab/efficient-annotation-cookbook - Official implementation of "Towards Good Practices for Efficiently Annotating Large-Scale Image Classification Datasets" (CVPR2021)
- lucidrains/stylegan2-pytorch - Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
- Alibaba-MIIL/TResNet - Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)
- facebookresearch/pycls - Codebase for Image Classification Research, written in PyTorch.
- thib-s/keras_warmstarter - Allow you to initialize the weights of a model, by reusing to weights of a previous model.
- gmontamat/gentun - Hyperparameter tuning for machine learning models using a distributed genetic algorithm
- thuijskens/production-tools - A bare-bones repository demonstrating how to set up tools for data science projects that will help you write higher quality code.
- teddykoker/torchsort - Fast, differentiable sorting and ranking in PyTorch
- pytorch/hydra-torch - Configuration classes enabling type-safe PyTorch configuration for Hydra apps
- Chakazul/Lenia - Lenia - Mathematical Life Forms
- kizniche/Mycodo - An environmental monitoring and regulation system
- facebookresearch/rlstructures - RLStructures is a library to facilitate the implementation of new reinforcement learning algorithms. It includes a library, a tutorial, and different RL algorithms provided as examples.
- Rishit-dagli/GLOM-TensorFlow - An attempt at the implementation of GLOM, Geoffrey Hinton's paper for emergent part-whole hierarchies from data
- jacobgil/pytorch-grad-cam - Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
- hendrycks/robustness - Corruption and Perturbation Robustness (ICLR 2019)
- davidbau/rewriting - Rewriting a Deep Generative Model, ECCV 2020 (oral). Interactive tool to directly edit the rules of a GAN to synthesize scenes with objects added, removed, or altered. Change StyleGANv2 to make extr
-
sksq96/pytorch-summary - Model summary in PyTorch similar to
model.summary()
in Keras - ImSoErgodic/py-upset - A pure-python implementation of the UpSet suite of visualisation methods by Lex, Gehlenborg et al.
- jfilter/split-folders - 🗂 Split folders with files (i.e. images) into training, validation and test (dataset) folders
- Sha-Lab/FEAT - The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"
- prakashjayy/pytorch_classifiers - Almost any Image classification problem using pytorch
- untitled-ai/self_supervised - A Pytorch-Lightning implementation of self-supervised algorithms
- ufoym/imbalanced-dataset-sampler - A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.
- szymonmaszke/torchfunc - PyTorch functions and utilities to make your life easier
- The-AI-Summer/self-attention-cv - Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.
- voxel51/eta - ETA: Extensible Toolkit for Analytics
- kazuto1011/grad-cam-pytorch - PyTorch implementation of Grad-CAM, vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps
- ArchiveBox/ArchiveBox - 🗃 Open source self-hosted web archiving. Takes URLs/browser history/bookmarks/Pocket/Pinboard/etc., saves HTML, JS, PDFs, media, and more...
- ebhy/budgetml - Deploy a ML inference service on a budget in less than 10 lines of code.
- NVlabs/tensorcom -
- ashleve/lightning-hydra-template - PyTorch Lightning + Hydra. A very user-friendly template for rapid and reproducible ML experimentation with best practices. ⚡🔥⚡
- huggingface/accelerate - 🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision
- GeorgeKyriakides/nord - Deep neural architecture research framework
- replicate/keepsake - Version control for machine learning
- utkuozbulak/pytorch-cnn-visualizations - Pytorch implementation of convolutional neural network visualization techniques
- catalyst-team/catalyst - Accelerated deep learning R&D
- thuml/Transfer-Learning-Library - Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
- Erotemic/ibeis - image based ecological information system
- Erotemic/netharn - Parameterized fit and prediction harnesses for pytorch
- BloodAxe/pytorch-toolbelt - PyTorch extensions for fast R&D prototyping and Kaggle farming
- kohpangwei/group_DRO - Distributionally robust neural networks for group shifts
- ProGamerGov/dream-creator - Quickly and easily create / train a custom DeepDream model
- moemen95/Pytorch-Project-Template - A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.
- ajbrock/FreezeOut - Accelerate Neural Net Training by Progressively Freezing Layers
- kimhc6028/soft-decision-tree - pytorch implementation of "Distilling a Neural Network Into a Soft Decision Tree"
- explosion/srsly - 🦉 Modern high-performance serialization utilities for Python (JSON, MessagePack, Pickle)
- felixgwu/img_classification_pk_pytorch - Quickly comparing your image classification models with the state-of-the-art models (such as DenseNet, ResNet, ...)
- oppia/oppia - A free, online learning platform to make quality education accessible for all.
- jazzband/django-model-utils - Django model mixins and utilities.
- PedramNavid/trump_speeches - All of Trump's Speeches from June 2015 to November 9, 2016
- HobbitLong/PyContrast - PyTorch implementation of Contrastive Learning methods
- soroushj/keras-balanced-batch-generator - A Keras-compatible generator for creating balanced batches
- fgolemo/cl-workshop-cvpr21-docker - Seed repo for CVPR'21 Continual Learning Challenge
- jim-schwoebel/voicebook - 🗣️ A book and repo to get you started programming voice computing applications in Python (10 chapters and 200+ scripts).
- streamlet-dev/tributary - Streaming reactive and dataflow graphs in Python
- gaborchris/ActiveLearningBirds -
- deepmind/acme - A library of reinforcement learning components and agents
- drimpossible/GDumb - Simplified code for our paper "GDumb: A Simple Approach that Questions Our Progress in Continual Learning". Easily extensible to various settings, datasets and architectures.
- ContinualAI/avalanche - Avalanche: an End-to-End Library for Continual Learning based on PyTorch.
- facebookresearch/DomainBed - DomainBed is a suite to test domain generalization algorithms
- Neuraxio/Neuraxle - The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spa
- Trusted-AI/AIF360 - A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
- mmasana/FACIL - Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.
- SimonBlanke/Hyperactive - An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
- srebuffi/iCaRL -
- scikit-tda/kepler-mapper - Kepler Mapper: A flexible Python implementation of the Mapper algorithm.
- microsoft/Relation-Aware-Global-Attention-Networks - We design an effective Relation-Aware Global Attention (RGA) module for CNNs to globally infer the attention.
- AndreaCossu/clutils - Continual Learning utilities
- arogozhnikov/einops - Deep learning operations reinvented (for pytorch, tensorflow, jax and others)
- ploomber/ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
- KaiyangZhou/Dassl.pytorch - A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.
- voxel51/fiftyone - The open-source tool for building high-quality datasets and computer vision models
- ContextLab/hypertools - A Python toolbox for gaining geometric insights into high-dimensional data
- greater-than/PipeLayer - A lightweight, event-driven, pipeline framework.
- fbdesignpro/sweetviz - Visualize and compare datasets, target values and associations, with one line of code.
- rougier/scientific-visualization-book - An open access book on scientific visualization using python and matplotlib
- ipython-books/cookbook-2nd - IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018
- lebrice/Sequoia - The Research Tree - A playground for research at the intersection of Continual, Reinforcement, and Self-Supervised Learning.
- EdenBelouadah/class-incremental-learning -
- alteryx/featuretools - An open source python library for automated feature engineering
- evogytis/baltic - baltic - backronymed adaptable lightweight tree import code for molecular phylogeny manipulation, analysis and visualisation. Development is back on the evogytis/baltic branch (i.e. here).
- ahmedfgad/NeuralGenetic - Building and training artificial neural networks (regression or classification) using the genetic algorithm.
- mikeabrahamsen/Flask-Meld - Flask-Meld is a library to provide server rendered templates over websockets for Flask applications to build reactive components without Javascript
- haven-ai/haven-ai - To Run, Manage and Visualize Large Scale Experiments
- ServiceNow/embedding-propagation - Codebase for Embedding Propagation: Smoother Manifold for Few-Shot Classification. This is a ServiceNow Research project that was started at Element AI.
- mbadry1/DeepLearning.ai-Summary - This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
- formlio/forml - Lifecycle management framework for Data science projects
- google/ml_collections - ML Collections is a library of Python Collections designed for ML use cases.
- online-ml/river - 🌊 Online machine learning in Python
- leon-thomm/Ryven - Flow-based visual scripting for Python
- GoogleCloudPlatform/professional-services - Common solutions and tools developed by Google Cloud's Professional Services team
- alexander-rakhlin/ICIAR2018 - Our solution for ICIAR 2018 Grand Challenge
- OverLordGoldDragon/keras-adamw - Keras/TF implementation of AdamW, SGDW, NadamW, Warm Restarts, and Learning Rate multipliers
- wutong16/DistributionBalancedLoss - Pytorch implementation for "Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets" (ECCV 2020 Spotlight)
- miguelgrinberg/merry - Decorator based error handling for Python
- tmbo/questionary - Python library to build pretty command line user prompts ✨Easy to use multi-select lists, confirmations, free text prompts ...
- mxrch/GHunt - 🕵️♂️ Offensive Google framework.
- nirbarazida/NBprocessing - Pre-processing database using pre-written functions
- altair-viz/altair - Declarative statistical visualization library for Python
- pyodide/pyodide - Pyodide is a Python distribution for the browser and Node.js based on WebAssembly
- azat-co/you-dont-know-node - You Don't Know Node.js
- kivymd/KivyMD - KivyMD is a collection of Material Design compliant widgets for use with Kivy, a framework for cross-platform, touch-enabled graphical applications. https://youtube.com/c/KivyMD https://twitter.com/Ki
- khurramjaved96/incremental-learning - Pytorch implementation of ACCV18 paper "Revisiting Distillation and Incremental Classifier Learning."
- RobinL/fuzzymatcher - Record linking package that fuzzy matches two Python pandas dataframes using sqlite3 fts4
- kennethreitz/pytheory - Music Theory for Humans.
- harvitronix/super-simple-distributed-keras - A super simple way to do distributed hyperparameter tuning with Keras and Mongo
- timkpaine/jupyterlab_autoversion - Automatically version jupyter notebooks in JupyterLab
- timkpaine/lantern - Data exploration glue
- ijl/orjson - Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy
- allenai/dnw - Discovering Neural Wirings (https://arxiv.org/abs/1906.00586)
- jsbroks/imantics - 📷 Reactive python package for managing, creating and visualizing different deep-learning image annotation formats
- NVIDIAGameWorks/kaolin - A PyTorch Library for Accelerating 3D Deep Learning Research
- lux-org/lux - Automatically visualize your pandas dataframe via a single print! 📊 💡
- rundherum/pymia - pymia: A Python package for data handling and evaluation in deep learning-based medical image analysis
- iansf/pstar -
- uber-research/deep-neuroevolution - Deep Neuroevolution
- modAL-python/modAL - A modular active learning framework for Python
- IBM/cdfsl-benchmark - (ECCV 2020) Cross-Domain Few-Shot Learning Benchmarking System
- tonyzhaozh/meld - MELD: Meta-Reinforcement Learning from Images via Latent State Models https://arxiv.org/abs/2010.13957
- nidhaloff/igel - a delightful machine learning tool that allows you to train, test, and use models without writing code
- Mattdl/CLsurvey - Continual Hyperparameter Selection Framework. Compares 11 state-of-the-art Lifelong Learning methods and 4 baselines. Official Codebase of "A continual learning survey: Defying forgetting in classifi
- WillKoehrsen/mastering-large-datasets - Work for Mastering Large Datasets with Python
- schmidtbri/using-ml-model-abc - Code showing how to use a model based on the ML model base class.
- GT-RIPL/Continual-Learning-Benchmark - Evaluate three types of task shifting with popular continual learning algorithms.
- man-group/notebooker - Productionise & schedule your Jupyter Notebooks as easily as you wrote them.
- mlcommons/training_policies - Issues related to MLPerf™ training policies, including rules and suggested changes
- hindupuravinash/the-gan-zoo - A list of all named GANs!
- karolzak/ipyplot - IPyPlot is a small python package offering fast and efficient plotting of images inside Python Notebooks. It's using IPython with HTML for faster, richer and more interactive way of displaying big num
- abdullahjamal/Longtail_DA - [CVPR 2020] Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective
- The-AI-Summer/GANs-in-Computer-Vision - GANs in computer vision AI Summer article series
- harvitronix/neural-network-genetic-algorithm - Evolving a neural network with a genetic algorithm.
- microsoft/playwright-python - Python version of the Playwright testing and automation library.
- eugeneyan/testing-ml - 🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.
- jina-ai/jina - Build cross-modal and multimodal applications on the cloud · Neural Search · Creative AI · Cloud Native
- khurramjaved96/mrcl - Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"
- bfshi/InfoDrop - Code for our paper "Informative Dropout for Robust Representation Learning: A Shape-bias Perspective" (ICML 2020)
- arthurdouillard/incremental_learning.pytorch - A collection of incremental learning paper implementations including PODNet (ECCV20) and Ghost (CVPR-W21).
- osmr/imgclsmob - Sandbox for training deep learning networks
- plantbreeding/BrAPI - Repository for version control of the BrAPI specifications
- xyutao/fscil - Official repository for Few-Shot Class-Incremental Learning (FSCIL)
- deepmind/dm-haiku - JAX-based neural network library
- ariG23498/GeneticAlgorithm - Genetic algorithm implemented in a fun way.
- allenai/allentune - Hyperparameter Search for AllenNLP
- a-rahimi/python-checkpointing2 - Checkpoint the state of Python programs using Pythonic setjmp and longjmp
- buckyroberts/Ella - Self-improving decision organism
- huawei-noah/vega - AutoML tools chain
- udellgroup/oboe - An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.
- tristandeleu/pytorch-maml - An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta
- ServiceNow/osaka - Codebase for "Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning". This is a ServiceNow Research project that was started at Element AI.
- JIC-CSB/dtoolai - Dtool AI reproducible AI library
- audy/bioinformatics-hacks - Scripts for miscelleneous bioinformatics tasks
- danthedeckie/simpleeval - Simple Safe Sandboxed Extensible Expression Evaluator for Python
- liyunsheng13/Efficient-Multi-Domain-Network-Learning-by-Covariance-Normalization -
- Res2Net/Res2Net-PretrainedModels - (ImageNet pretrained models) The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture"
- joshlk/dataclassframe - A container for dataclasses with multi-indexing and bulk operations.
- monarch-initiative/biolink-api - API for linked biological knowledge
- lebigot/uncertainties - Transparent calculations with uncertainties on the quantities involved (aka "error propagation"); calculation of derivatives.
- lilianweng/generalization-experiment - TBA
- dbader/schedule - Python job scheduling for humans.
- zhanghang1989/ResNeSt - ResNeSt: Split-Attention Networks
- machine-learning-apps/wandb-action - GitHub Action That Retrieves Model Runs From Weights & Biases
- EricSchles/auto_ml -
- nostalgia-dev/nostalgia - Utilize your personal data like Google!
- faizanahemad/FastNet - API layer built on tensorflow-2.0 for high performance and easy training
- sepandhaghighi/pycm - Multi-class confusion matrix library in Python
- whut2962575697/Awesome-Deep-Learning-of-Remote-Sensing - Awesome Deep Learning of Remote Sensing
- YanchaoYang/FDA - Fourier Domain Adaptation for Semantic Segmentation
- executablebooks/jupyter-book - Create beautiful, publication-quality books and documents from computational content.
- ianozsvald/notes_to_self -
- SCCH-KVS/training-engine - The stand-alone training engine module for the ALOHA.eu project.
- soimort/you-get - ⏬ Dumb downloader that scrapes the web
- vahidk/tfrecord - TFRecord reader for PyTorch
- Pervasive-AI-Lab/cvpr_clvision_challenge - CVPR 2020 Continual Learning Challenge - Submit your CL algorithm today!
- imirzadeh/stable-continual-learning - Towards increasing stability of neural networks for continual learning: https://arxiv.org/abs/2006.06958.pdf (NeurIPS'20)
- lshug/Continual-Keras - Keras-based framework for implementing continual learning methods.
- Continvvm/continuum - A clean and simple data loading library for Continual Learning
- few-shot-learning/Keras-FewShotLearning - Some State-of-the-Art few shot learning algorithms in tensorflow 2
- davidbau/dissect - Code for the Proceedings of the National Academy of Sciences 2020 article, "Understanding the Role of Individual Units in a Deep Neural Network"
- otiliastr/coarse-to-fine-curriculum - Coarse-to-Fine Curriculum Learning
- szacho/augmix-tf - Implementation of AugMix (2020) in TensorFlow
- baal-org/baal - Library to enable Bayesian active learning in your research or labeling work.
- gnebbia/kb - A minimalist command line knowledge base manager
- dmlc/dgl - Python package built to ease deep learning on graph, on top of existing DL frameworks.
- google/trax - Trax — Deep Learning with Clear Code and Speed
- hugapi/hug - Embrace the APIs of the future. Hug aims to make developing APIs as simple as possible, but no simpler.
- yu4u/convnet-drawer - Python script for illustrating Convolutional Neural Networks (CNN) using Keras-like model definitions
- D-X-Y/AutoDL-Projects - Automated deep learning algorithms implemented in PyTorch.
- optuna/optuna - A hyperparameter optimization framework
- KevinMusgrave/pytorch-metric-learning - The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
- renatolfc/prwlock - Process-based Reader-Writer lock for python
- bamos/setGPU - Small Python library to automatically set CUDA_VISIBLE_DEVICES to the least loaded device on multi-GPU systems.
- wookayin/gpustat - 📊 A simple command-line utility for querying and monitoring GPU status
- pittcsc/Summer2023-Internships - Collection of Summer 2023 tech internships!
- nucleic/enaml - Declarative User Interfaces for Python
- voronind/awesome-slugify - Python flexible slugify function
- jarun/buku - 🔖 Personal mini-web in text
- schematics/schematics - Python Data Structures for Humans™.
- abhishekkrthakur/wtfml - WTFML: Well That's Fantastic Machine Learning
- faif/python-patterns - A collection of design patterns/idioms in Python
- tylerlaberge/PyPattyrn - A simple library for implementing common design patterns.
- keon/algorithms - Minimal examples of data structures and algorithms in Python
- amitt001/delegator.py - Subprocesses for Humans 2.0.
- MIC-DKFZ/trixi - Manage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure optimized for PyTorch, but flexible enough to work for your framework and your t
- elyra-ai/elyra - Elyra extends JupyterLab with an AI centric approach.
- rushter/data-science-blogs - A curated list of data science blogs
- magenta/ddsp - DDSP: Differentiable Digital Signal Processing
- ragulpr/wtte-rnn - WTTE-RNN a framework for churn and time to event prediction
- streamlit/streamlit - Streamlit — The fastest way to build data apps in Python
- odlgroup/odl - Operator Discretization Library https://odlgroup.github.io/odl/
- AllenCellModeling/cookiecutter-stepworkflow - AICS Cookiecutter Template for a simple data + code workflow
- jliljebl/flowblade - Video Editor for Linux
- wolever/pprintpp - pprint++: a drop-in replacement for pprint that's actually pretty
- andobrescu/Multi_task_plant_phenotyping - The code for the Doing More With Less: A Multi-Task Deep Learning Approach in Plant Phenotyping paper, Frontiers in Plant Science
- eriklindernoren/Keras-GAN - Keras implementations of Generative Adversarial Networks.
- gto76/python-cheatsheet - Comprehensive Python Cheatsheet
- RaRe-Technologies/sqlitedict - Persistent dict, backed by sqlite3 and pickle, multithread-safe.
- tiangolo/typer - Typer, build great CLIs. Easy to code. Based on Python type hints.
- pcomputo/Whole-Foods-Delivery-Slot - Automated script for Whole Foods and Amazon Fresh delivery slot
- GrahamDumpleton/wrapt - A Python module for decorators, wrappers and monkey patching.
- sulc/tfrecord-viewer - TFRecord Viewer for browsing contents of TFRecords with object detection/classification annotations.
- maxhumber/gif - The matplotlib Animation Extension
- mingrammer/diagrams - 🎨 Diagram as Code for prototyping cloud system architectures
- fsistemas/sql2json - Python tool to run a query and convert result to json, csv, excel in the command line or python program
- ionelmc/python-hunter - Hunter is a flexible code tracing toolkit.
- micahflee/semiphemeral - Automatically delete your old tweets, except for the ones you want to keep
- giampaolo/psutil - Cross-platform lib for process and system monitoring in Python
- deezer/spleeter - Deezer source separation library including pretrained models.
- pytorchbearer/torchbearer - torchbearer: A model fitting library for PyTorch
- pydantic/pydantic - Data parsing and validation using Python type hints
- ckan/ckan - CKAN is an open-source DMS (data management system) for powering data hubs and data portals. CKAN makes it easy to publish, share and use data. It powers catalog.data.gov, open.canada.ca/data, data.hu
- taehoonlee/tensornets - High level network definitions with pre-trained weights in TensorFlow
- horovod/horovod - Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
- alexmojaki/snoop - A powerful set of Python debugging tools, based on PySnooper
- MrGemy95/Tensorflow-Project-Template - A best practice for tensorflow project template architecture.
- Gogul09/flower-recognition - 🌺🌻 Using state-of-the-art pre-trained Deep Neural Net architectures for Flower Species Recognition
- indraforyou/keras_tfrecord - Extending Keras to support tfrecord dataset
- dahlia/awesome-sqlalchemy - A curated list of awesome tools for SQLAlchemy
- tensorflow/tensor2tensor - Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
- open-mmlab/mmdetection - OpenMMLab Detection Toolbox and Benchmark
- TheAlgorithms/Python - All Algorithms implemented in Python
- borevitzlab/timestreamlib - DEPRECATED. Please use the current version of the TimeStream tools at https://gitlab.com/appf-anu/pyts2.
- chubin/cheat.sh - the only cheat sheet you need
- p2irc/deepplantphenomics - Deep learning for plant phenotyping.
- albumentations-team/albumentations - Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
- mahmoud/lithoxyl - Application instrumentation and logging, with a geological bent.
- mahmoud/boltons - 🔩 Like builtins, but boltons. 250+ constructs, recipes, and snippets which extend (and rely on nothing but) the Python standard library. Nothing like Michael Bolton.
- plotly/dash - Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.
- fchollet/nelder-mead - Pure Python/Numpy implementation of the Nelder-Mead algorithm.
- jcjohnson/pytorch-examples - Simple examples to introduce PyTorch
- pavlin-policar/openTSNE - Extensible, parallel implementations of t-SNE
- zalandoresearch/fashion-mnist - A MNIST-like fashion product database. Benchmark 👇
- ilastik/ilastik - ilastik-shell, applets, and workflows to string them together.
- stackless-dev/stackless - The Stackless Python programming language
- PySimpleGUI/PySimpleGUI - Launched in 2018. It's 2022 and PySimpleGUI is actively developed & supported. Create complex windows simply. Supports tkinter, Qt, WxPython, Remi (in browser). Create GUI applications trivially with
- keras-team/autokeras - AutoML library for deep learning
- liiight/notifiers - The easy way to send notifications
- zotroneneis/magical_universe - Awesome Python features explained using the world of magic
- t-makaro/animatplot - A python package for animating plots build on matplotlib.
- OlafenwaMoses/ImageAI - A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
- thomasp85/patchwork - The Composer of ggplots
- bweiher/learning - links to things im learning
- mattocci27/LeafArea - An interface for the image processing program ImageJ, which allows a rapid digital image analysis for particle sizes.
- phylotastic/OpenTreeChronograms - Open Tree of Life chronogram database for datelife
- phylotastic/datelifeplot - An R package with DateLife's plotting methods.
- kevinsblake/NatParksPalettes - Color palette package inspired by National Parks.
- ricardoi/virDB - virus database beta release
- stevenpbachman/LCRapid - Quickly determine if a plant species is likely to be non-threatened (Least Concern - See IUCN Red List) and generate minimal documentation for a Least Concern species IUCN Red List submission via http
- ModelOriented/ingredients - Effects and Importances of Model Ingredients
- jokergoo/KeywordsEnrichment -
- Molina-Valero/FORTLS - Automatic Processing of Terrestrial-Based Technologies Point Cloud Data for Forestry Purposes
- SofanitAraya/CropPhenology - This repository holds the code for an R package called CropPhenology. The package extracts phenological information of crops from multi temporal remote sensing vegetation index images
- jokergoo/circlize - Circular visualization in R
- jinyizju/V.PhyloMaker - This R package makes phylogenetic hypotheses for a user-specified list of species at a faster speed than S.PhyloMaker
- mrborges23/delta_statistic - Codes for calculating delta, a phylogenetic analog of the Shannon entropy for measuring the degree of phylogenetic signal between a categorical trait and a phylogeny.
- Reproducible-Science-Curriculum/rr-init - Research project initialization and organization following reproducible research guidelines
- niknap/MeanShiftR - Tree delineation from lidar using mean shift clustering
- r-lidar/lidR - Airborne LiDAR data manipulation and visualisation for forestry application
- weecology/livedat-github-actions -
- kevinblighe/PCAtools - PCAtools: everything Principal Components Analysis
- gaospecial/ggVennDiagram - A 'ggplot2' implement of Venn Diagram.
- ropensci/allodb - An R package for biomass estimation at extratropical forest plots.
- karthik/wesanderson - A Wes Anderson color palette for R
- pbiecek/xai_resources - Interesting resources related to XAI (Explainable Artificial Intelligence)
- allogamous/EnvRtype - Provide tools for collecting environmental data from GIS-based platforms,enabling environmental characterization studies, providing environmental relatedness kinships and kernels for genomic predictio
- TiagoOlivoto/pliman - Tools for Plant Image Analysis
- ModelOriented/modelDown - modelDown generates a website with HTML summaries for predictive models
- thomasp85/hierarchicalSets - Scalable Set Visualization using Hierarchies
- ModelOriented/DrWhy - DrWhy is the collection of tools for eXplainable AI (XAI). It's based on shared principles and simple grammar for exploration, explanation and visualisation of predictive models.
- hadley/stats337 - Readings in applied data science
- hartator/wayback-machine-downloader - Download an entire website from the Wayback Machine.
- slrbl/human-in-the-loop-machine-learning-tool-tornado - Tornado is a human-in-the-loop machine learning framework that helps you exploit your unlabelled data to train models through a simple and easy to use web interface.
- renatolond/mastodon-twitter-poster - Crossposter to post statuses between Mastodon and Twitter
- kilimchoi/engineering-blogs - A curated list of engineering blogs
- magiclen/image-resizer - Resize or just shrink images and sharpen them appropriately.
- hora-search/hora - 🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .
- mgree/ffs - the file filesystem: mount semi-structured data (like JSON) as a Unix filesystem
- thoth-pub/thoth - Metadata management and dissemination system for Open Access books
- vectordotdev/vector - A high-performance observability data pipeline.
- qarmin/czkawka - Multi functional app to find duplicates, empty folders, similar images etc.
- pola-rs/polars - Fast multi-threaded DataFrame library in Rust | Python | Node.js
- benfred/py-spy - Sampling profiler for Python programs
- fredhohman/awesome-mathematical-notation-design - List of links of techniques to help enhance mathematical notation
- tlnagy/jekyll-lab-notebook - 📓 A full-featured electronic lab notebook theme (with plugins!) for Jekyll
- shagunsodhani/papers-I-read - A-Paper-A-Week
- rtyley/bfg-repo-cleaner - Removes large or troublesome blobs like git-filter-branch does, but faster. And written in Scala
- airbnb/aerosolve - A machine learning package built for humans.
- agarrharr/awesome-cli-apps - 🖥 📊 🕹 🛠 A curated list of command line apps
- gyli/Blocklist - List of shit websites for blocking Google search result.
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- xwmx/nb - CLI and local web plain text note‑taking, bookmarking, and archiving with linking, tagging, filtering, search, Git versioning & syncing, Pandoc conversion, + more, in a single portable script.
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- Yann21/cookiecutter-exp-launcher - Cookiecutter template to seriously scale up ML experiments with AWS, Docker, and WandB. Get started in no time.
- suan/local-open - Open webpages on your local machine instead of the one you're SSH'ed into
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- DRSY/MoTIS - Mobile(iOS) Text-to-Image search powered by multimodal semantic representation models(e.g., OpenAI's CLIP). Accepted at NAACL 2022.
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- AudreyBeard/Datasheets-for-Datasets-Template -
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- pubkey/client-side-databases - An implementation of the exact same app in Firestore, AWS Datastore, PouchDB, RxDB and WatermelonDB
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- lightdash/lightdash - An open source alternative to Looker built using dbt. Made for analysts ❤️
- datature/portal - Portal is the fastest way to load and visualize your deep neural networks on images and videos 🔮
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- aporia-ai/mlplatform-workshop - 🍫 Example code for a basic ML Platform based on Pulumi, FastAPI, DVC, MLFlow and more
- martinjm97/ENNUI - An Elegant Neural Network User Interface to build drag-and-drop neural networks, train in the browser, visualize during training, and export to Python.
- appsmithorg/appsmith - Low code project to build admin panels, internal tools, and dashboards. Integrates with 15+ databases and any API.
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- nocodb/nocodb - 🔥 🔥 🔥 Open Source Airtable Alternative - turns any MySQL, Postgres, SQLite into a Spreadsheet with REST APIs.
- slidevjs/slidev - Presentation Slides for Developers
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- voila-dashboards/voila-gridstack - Dashboard template for Voilà based on GridStackJS
- kamranahmedse/developer-roadmap - Roadmap to becoming a developer in 2022
- duetds/date-picker - Duet Date Picker is an open source version of Duet Design System’s accessible date picker. Try live example at https://duetds.github.io/date-picker/
- thekevinscott/ml-classifier-ui - A UI tool for quickly training image classifiers in the browser
- chakra-ui/chakra-ui - ⚡️ Simple, Modular & Accessible UI Components for your React Applications
- taniarascia/takenote - 📝 A web-based notes app for developers.
- SkalskiP/make-sense - Free to use online tool for labelling photos. https://makesense.ai
- man-group/dtale - Visualizer for pandas data structures
- roam-unofficial/roam-toolkit - Roam force multiplier
- penrose/penrose - Create beautiful diagrams just by typing mathematical notation in plain text.
- foambubble/foam - A personal knowledge management and sharing system for VSCode
- SimonBiggs/scriptedforms - Quickly create live-update GUIs for Python packages using Markdown and simple HTML elements.
- alexemanuelol/dotfiles - 🇩 🇴 🇹 🇫 🇮 🇱 🇪 🇸
- will133/vim-dirdiff - Vim plugin to diff two directories
- radiantearth/stac-browser - A full-fledged UI for browsing static STAC catalogs and STAC APIs
- kochrt/markwhen - Make a cascading timeline from markdown-like text. Supports simple American/European date styles, ISO8601, images, links, locations, and more.
- Computational-Plant-Science/plantit - high-throughput browser phenotyping
- ramedina86/streamsync - Like Streamlit, but fast. A proof-of-concept framework built using JavaScript/Vue + Python/Flask + WebSockets.
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