GitHub

microsoft/MASS
MonocularTotalCapture
analytics-zoo
revisiting-self-supervised
tensorrt-inference-server
dataquestio/solutions - Solutions for projects.
QuantumKatas - Programming exercises for learning Q# and quantum computing
Hands-On-Intelligent-Agents-with-OpenAI-Gym
ICML2019-TREX
formation-deep-learning
STEAL
security-bulletins
industry-machine-learning - A curated list of applied machine learning and data science notebooks and libraries across different industries.
Real-Time-Voice-Cloning
fbctf-2019-challenges
instagram-scraper
xlnet - XLNet: Generalized Autoregressive Pretraining for Language Understanding
Hybrid_Attention_XML - Pytorch codes for "Label-aware Document Representation via Hybrid Attention for Extreme Multi-Label Text Classification"
LGM-Net - Tensorflow code for ICML 2019 paper: LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning
MLPrimitives - Pipelines and primitives for machine learning and data science.
libra/libra - Libra’s mission is to enable a simple global currency and financial infrastructure that empowers billions of people. https://libra.org
DeepFaceLab - DeepFaceLab is a tool that utilizes machine learning to replace faces in videos. Includes prebuilt ready to work standalone Windows 7,8,10 binary (look readme.md).
WWDC - You don't have the time to watch all the WWDC session videos yourself? No problem I extracted the gist for you 🥳
noisereduce - Noise reduction / speech enhancement for python using spectral gating
darknet - Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used) http://pjreddie.com/darknet/
openpilot - open source driving agent https://comma.ai/
Repo-2019 - BERT, AWS RDS, AWS Forecast, EMR Spark Cluster, Hive, Serverless, Google Assistant + Raspberry Pi, Infrared, Google Cloud Platform Natural Language, Anomaly detection, Tensorflow, Mathematics
asteroids_atlas_of_space - Code, data, and instructions for mapping orbits of asteroids in the solar system
Automagica - Open Source (Smart) Robotic Process Automation https://automagica.be
kubernetes-failure-stories - Compilation of public failure/horror stories related to Kubernetes https://k8s.af
sagify - Continuous Machine Learning Training and Deployment on AWS SageMaker https://kenza-ai.github.io/sagify/
deep-learning-guide - An evolving guide to learning Deep Learning effectively.
fullstack - React/ApolloGraphQL/Node/Mongo demo written in Typescript
rl_algorithms - Structural implementation of RL key algorithms https://www.medipixel.io/
mushroom
alf
GPT2
football
CVPR-2019-Paper-Statistics - Statistics and Visualization of acceptance rate, main keyword of CVPR 2019 accepted papers for the main Computer Vision conference (CVPR)

ODE's

ytorch-PPUU
data-mining-conferences
Muti-branch-DDPG-CARLA
gpt-2-output-dataset
Neural-Architecture-Search
RL-Quadcopter-2
NVIDIA/waveglow
CADA-VAE-PyTorch
self-driving-truck - Self-Driving Truck in Euro Truck Simulator 2, trained via Reinforcement Learning
phd-bibliography - References on Optimal Control, Reinforcement Learning and Motion Planning
Hands-On-Intelligent-Agents-with-OpenAI-Gym
TD3-PyTorch-BipedalWalker-v2
BayesianDefense
AB_distillation
TPN
xg2xg
gobot
MADRaS
Copulas
CrowdNav
pytorch-lightning
pt.darts
mlcourse
dm2gym
imitation
GraphConv4MARL
learning-to-communicate-pytorch
cadrl_ros
reinforcement-learning-kr
tensorflow_RL
OpenMined/PySyft - A library for encrypted, privacy preserving deep learning
deeplearning-models - A collection of various deep learning architectures, models, and tips
awesome-interpretable-machine-learning
Reinforcement_Learning_in_Python
tensorflow/graphics
EfficientNet-PyTorch
pytorch-image-models - PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MobileNet-V3/V2/V1, MNASNet, Single-Path NAS, FBNet, and more
medium-to-own-blog - Switch from Medium to your own blog in a few minutes
pytorch/xla - PyTorch For TPU
ljpzzz/machinelearning - My blogs and code for machine learning. http://cnblogs.com/pinard
aws-deepracer-workshops
udacity/private-ai - Repo for Udacity's Secure & Private AI course
SATNet
MLiterature
ICML2019-TREX
ICLR2019-RL-Papers
tensorflow/tpu - Reference models and tools for Cloud TPUs. https://cloud.google.com/tpu/
basis_universal - Basis Universal GPU Texture Codec
facebookresearch/pythia - A modular framework for vision & language multimodal research from Facebook AI Research (FAIR) https://learnpythia.readthedocs.io/
microsoft/SPTAG
Data-Science--Cheat-Sheet - Cheat Sheets
single-parameter-fit - Real numbers, data science and chaos: How to fit any dataset with a single parameter
facebook/Ax - Adaptive Experimentation Platform https://ax.dev
SimpleSelfAttention
tensorwatch
ai-edu - AI education materials for Chinese students, teachers and IT professionals.
augmented-neural-odes
stanford-cs-221-artificial-intelligenc
videoflow
Network_Science_Meets_Deep_Learning - Designing Deep neural network architectures using topologies from the world of Complex Networks/network Science
techniques
Data-Science--Cheat-Sheet
spinning-up-basic - Basic versions of agents from Spinning Up in Deep RL written in PyTorch
info8010-deep-learning
fklearn
GraphConv4MARL
openai/sparse_attention - Examples of using sparse attention, as in "Generating Long Sequences with Sparse Transformers"
fklearn - fklearn: Functional Machine Learning
linux-network-performance-parameters - Learn where some of the network sysctl variables fit into the Linux/Kernel network flow
Interesting-python
manim - Animation engine for explanatory math videos
meta-transfer-learning-tensorflow - The TensorFlow implementation for "Meta-Transfer Learning for Few-Shot Learning" https://mtl.yyliu.net/
graph-based-deep-learning-literature
awesome-ai-ml-dl
neural-painters
Microsoft/BosqueLanguage
commit-messages-guide
CornerNet-Lite - CornerNet-Lite: Training, Evaluation and Testing Code
CVPR-2019-Paper-Statistics - Statistics and Visualization of acceptance rate, main keyword of CVPR 2019 accepted papers for the main Computer Vision conference (CVPR)
meshroom - 3D Reconstruction Software http://alicevision.github.io
CenterNet - Codes for our paper "CenterNet: Keypoint Triplets for Object Detection" .
CenterNet - Object detection, 3D detection, and pose estimation using center point detection:
pyodide - The Python scientific stack, compiled to WebAssembly https://alpha.iodide.io/notebooks/300/
golang-developer-roadmap - Roadmap to becoming a Go developer in 2019
spacy-course - Advanced NLP with spaCy: A free online course https://course.spacy.io
Microsoft/BlingFire - A lightning fast Finite State machine and REgular expression manipulation library.
Microsoft/EconML - ALICE (Automated Learning and Intelligence for Causation and Economics
pytorch-Deep-Learning-Minicourse
Jezzamonn/fourier - An Interactive Introduction to Fourier Transforms http://www.jezzamon.com/fourier
pytorch-sentiment-analysis - Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
IntelAI/tools - Intel AI Quantization Tools for TensorFlow
intelai/models - Model Zoo for Intel® Architecture: contains Intel optimizations for running deep learning workloads on Intel® Xeon® Scalable processors
pt.darts - PyTorch Implementation of DARTS: Differentiable Architecture Search
awesome-rl - Reinforcement learning resources curated http://aikorea.org/awesome-rl
Reinforcement-Learning-for-Self-Driving-Cars
Stock-Prediction-Models - Gathers machine learning and deep learning models for Stock forecasting, included trading bots and simulations
OUCML
Cello - Higher level programming in C http://libcello.org/
Neural_Differential_Equations
tensorflow_chatbot
Make_Money_with_Tensorflow_2.0
Build-an-AI-Startup-with-PyTorch
ImageNet-Adversarial-Training
xg2xg
stackshareio/awesome-stacks
achael/eht-imaging
dataset-distillation
nationalsecurityagency.github.io
tensorflow_v2
FaceDetection-DSFD
TensorFlow2.0Tutorials
datascience
Cheatsheetseries
app-ideas
Accenture/AmpliGraph
AI_Startup_Prototype
deepmind/mathematics_dataset
tensorflow/mlir
PyTorch-BigGraph
Tencent/matrix - Matrix is a plugin style, non-invasive APM system developed by WeChat.
hacl-star

LanczosNetwork - Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry Benchmark, ICLR 2019 http://arxiv.org/abs/1901.01484
deepchem - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology https://deepchem.io/
plotly_express - Plotly Express - simple syntax for complex charts https://plotly.express
cnn-exposed - Interpreting Convolutional Neural Network (CNN) Results.
Virgilio - Your new Mentor for Data Science E-Learning.
tfjs-examples - Examples built with TensorFlow.js https://js.tensorflow.org/
allenai/PeerRead - Data and code for Kang et al., NAACL 2018's paper titled "A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications"
awesome-machine-learning-interpretability
NLP-Models-Tensorflow - Gathers machine learning and Tensorflow deep learning models for NLP problems.
image-super-resolution - Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
automl-gs - Provide an input CSV and a target field to predict, generate a model + code to run it.
cocoapi - COCO API - Dataset @ http://cocodataset.org/
AudioNotebooks - Collection of notebooks and scripts related to audio processing and machine learning.
jetbot - An educational AI robot based on NVIDIA Jetson Nano.
interesting-python - Some interesting Python crawlers and data analysis projects
pytorch-pretrained-BigGAN - A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.
x86-bare-metal-examples - Dozens of minimal operating systems to learn x86 system programming. Tested on Ubuntu 17.10 host in QEMU 2.10 and real hardware. Userland cheat at: https://github.com/cirosantilli/x86-assembly-cheat ARM baremetal setup at: https://github.com/cirosantilli/linux-kernel-module-cheat#baremetal-setup
paper-tips-and-tricks - Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.
SPADE
astool - Augmented environments with RL
Machine-Learning-Study-Path-March-2019 - A complete ML study path, focused on TensorFlow and Scikit-Learn
DeepLearning-500-questions
the-craft-of-selfteaching - One has no future if one couldn't teach themself.
MatchZoo - Facilitating the design, comparison and sharing of deep text matching models.
tf2_course - Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course
MobilePose-pytorch - Light-weight Single Person Pose Estimator
TensorFlow2.0Tutorials - TensorFlow 2.0 Tutorials and Examples, CNN, RNN, GAN tutorials, etc. TF 2.0版入门实例代码，实战教程。
pggraphblas - High Performance Graph Processing with Postgres and GraphBLAS
libfacedetection - An open source library for face detection in images. The face detection speed can reach 1500FPS.
awesome-personal-blogs - A delightful list of personal tech blogs
awesome-self-supervised-learning - A curated list of awesome Self-Supervised methods
visdat - Preliminary Exploratory Visualisation of Data http://visdat.njtierney.com/
2019_datathon - R-Ladies Philly 2019 Community Data Project: PAWS
ppnp - PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank". https://www.kdd.in.tum.de/ppnp
dynamic-KG - Dynamic (Temporal) Knowledge Graph Completion (Reasoning)
awesome-r - A curated list of awesome R frameworks, libraries and software.
vrhk.github.io
openai/gpt-2 - Code for the paper "Language Models are Unsupervised Multitask Learners"
NationalSecurityAgency/ghidra
modeleval - A simple tool for generating useful evaluation metrics and plots for machine learning models
one-network-many-uses - Four-in-one deep network: image search, image captioning, similar words and similar images using a single model
Lihang - Statistical learning methods, 统计学习方法 [李航] 值得反复读. [笔记, 代码, notebook, 参考文献, Errata]
maskscoring_rcnn - Codes for paper "Mask Scoring R-CNN".
openai/neural-mmo - Neural MMO - A Massively Multiagent Game Environment
m2cgen - Transform ML models into a native code (Java, C, Python, etc.) with zero dependencies
lazynlp - Library to scrape and clean web pages to create massive datasets.
wassdistance - Approximating Wasserstein distances with PyTorch
AdaBound - An optimizer that trains as fast as Adam and as good as SGD.
DLSchool/dlschool - The official repository of the Deep Learning Course (2018-2019) from the Deep Learning School at FPMI MIPT
spark-syntax - This is an open repo of all the best practices of writing PySpark that I have learnt from working with the Framework.
stylegan-encoder - StyleGAN Encoder - converts real images to latent space
deepmind/neural-processes - The Neural Process Family
tensorflow/lingvo - Lingvo is a framework for building neural networks in Tensorflow, particularly sequence models.
PlotNeuralNet - Latex code for making neural networks diagrams
lascar - Ledger's Advanced Side-Channel Analysis Repository
Tensorflow-Cookbook - Simple Tensorflow Cookbook for easy-to-use
pytorch-handbook - pytorch handbook
GoogleCloudPlatform/microservices-demo
Tensorflow-Cookbook
deepfakes/faceswap - Non official project based on original /r/Deepfakes thread. Many thanks to him!
google-research/planet - Deep Planning Network: Control from pixels by latent planning with learned dynamics
openai/gpt-2 - Code for the paper "Language Models are Unsupervised Multitask Learners"
Web-Data-Scraping-S2019
generative_adversarial_networks_101
Eye_Correction_GAN
Advanced-R-Solutions
Delving-deep-into-GANs - 📈 A curated list of Generative Adversarial Networks (GANs) resources sorted by reputation
ICLR2019-OpenReviewData - Crawl data from ICLR 2019 OpenReview webpage
info8010-deep-learning
COMS4995-s19
Recommenders
NLP-with-Python
stat479-deep-learning-ss19
pytorch-pretrained-BERT
stylegan - StyleGAN - Official TensorFlow Implementation
deep-learning-drizzle - Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
nlp-tutorial - Natural Language Processing Tutorial for Deep Learning Researchers
stanfordnlp/stanfordnlp - Official Stanford NLP Python Library for Many Human Languages
aresdb - A GPU-powered real-time analytics storage and query engine. https://eng.uber.com/aresdb/
One-shot-Relational-Learning - Code for One-shot Relational Learning for Knowledge Graphs
vqa-project - Code for our paper: Learning Conditioned Graph Structures for Interpretable Visual Question Answering
convex_adversarial - A method for training neural networks that are provably robust to adversarial attacks.
jupyter-Kqlmagic - Extension (Magic) to Jupyter notebook and Jupyter lab, that enable notebook experience working with Kusto, ApplicationInsights, and LogAnalytics data.
LASER - Language-Agnostic SEntence Representations
genetic_deep_learning - Genetic Deep Learning
graph-tutorial.pytorch - Pytorch Tutorial for Non-Euclidean Graph Representations
Papers-Literature-ML-DL-RL-AI - Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
Neural_Differential_Equations - This is the code for "Neural DIfferential Equations" By Siraj Raval on Youtube
calebwin/pipelines - framework & language for scripting massively parrallel pipelines with Python
satellite-image-deep-learning - Resources for performing deep learning on satellite imagery
facebookincubator/spectrum - A client-side image transcoding library. https://libspectrum.io
alibaba/euler - A distributed graph deep learning framework.
indigo-player - Highly extensible, modern, JavaScript video player. Handles MPEG-Dash / HLS / MPEG-4 and is built on top of the HTML5 video element. https://matvp91.github.io/indigo-player/
howmanypeoplearearound - Count the number of people around you 👨‍👨‍👦 by monitoring wifi signals 📡
ObjectDetection-OneStageDet -
dtreeviz - A python library for decision tree visualization and model interpretation.
fourier - An Interactive Introduction to Fourier Transforms http://www.jezzamon.com/fourier
deep-learning-ocean - 📡 All You Need to Know About Deep Learning - A kick-starter
nlp_with_pytorch - Natural Language Processing with PyTorch
nsfw_data_scrapper - Collection of scripts to aggregate image data for the purposes of training an NSFW Image Classifier
tf2_course - Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course
transformer-xl
uber-research/atari-model-zoo
NeuralDater - ACL 2018: Dating Documents using Graph Convolution Networks
NeurIPS-2018-papers - Machine-generated summaries and highlights of the every accepted paper at Thirty-second Conference on Neural Information Processing Systems 2018. Generated with the Scholarcy Highlights API
KDD2018_MPCN - Code for our KDD 2018 Paper "Multi-Pointer Co-Attention Networks for Recommendation"
capsule-net-pytorch - A PyTorch implementation of CapsNet architecture in the NIPS 2017 paper "Dynamic Routing Between Capsules".
mister_ed - Pytorch Adversarial Attack Framework
nevergrad - A Python toolbox for performing gradient-free optimization
sketch_rnn_keras - Keras implementation of Sketch RNN
nefarious-linkedin - A look at how LinkedIn spies on its users.
harvardnlp/namedtensor - Proof of concept for a dynamic named tensor for pytorch http://nlp.seas.harvard.edu/NamedTensor
deeptraffic - DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.
edge-connect - EdgeConnect: Generative Image Inpainting with Adversarial Edge Learning. https://arxiv.org/abs/1901.00212
uncaptcha2 - defeating the latest version of ReCaptcha with 91% accuracy http://uncaptcha.cs.umd.edu/
pose_estimation_CVPR_ECCV_2018
Microsoft/Recommenders - Recommender Systems
DL-workshop-series - Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)
flair - A very simple framework for state-of-the-art Natural Language Processing (NLP)
intel-analytics/analytics-zoo - Distributed Tensorflow, Keras and BigDL on Apache Spark https://analytics-zoo.github.io
Stanford-Machine-Learning-camp
lihang-code
Neural-Network-from-scratch - Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?
Reinforcement-Learning-Notebooks - A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented in Python.
artificial-intelligence-for-trading - Content for Udacity's AI in Trading NanoDegree. https://www.udacity.com/course/nd880
t81_558_deep_learning - Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
IBM/coursera
libpostal - A C library for parsing/normalizing street addresses around the world. Powered by statistical NLP and open geo data.
MT-Reading-List - A machine translation reading list maintained by Tsinghua Natural Language Processing Group
Super-SloMo
cocoapi - COCO API - Dataset @ http://cocodataset.org/
adanet - Fast and flexible AutoML with learning guarantees.
StaticGIFGen
mars - Mars is a tensor-based unified framework for large-scale data computation.
torchgan - Research Framework for easy and efficient training of GANs based on Pytorch
GNNPapers - Must-read papers on graph neural network (GNN)
awesome-python-applications - 💿 Free software that works great, and also happens to be open-source Python. ftp://you:relookin@it.example.com#readme
ds-cheatsheets - List of Data Science Cheatsheets to rule the world
netcap - A framework for secure and scalable network traffic analysis
homemade-machine-learning - Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
alibaba/x-deeplearning - An industrial deep learning framework for high-dimension sparse data
trellisnet - Trellis Networks for Sequence Modeling
demo2program - An official TensorFlow implementation of "Neural Program Synthesis from Diverse Demonstration Videos" (ICML 2018) by Shao-Hua Sun, Hyeonwoo Noh, Sriram Somasundaram, and Joseph J. Lim
uber-research/atari-model-zoo - A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.
fast-artistic-videos - Video style transfer using feed-forward networks.
torchdiffeq - Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
FavoritePapers -
openai/coinrun - Code for the paper "Quantifying Transfer in Reinforcement Learning" https://blog.openai.com
CollaborativeMemoryNetwork - Collaborative Memory Network for Recommendation Systems, SIGIR 2018
feudal-montezuma - Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge
neural-collage - Collaging on Internal Representations: An Intuitive Approach for Semantic Transfiguration
capsule-networks - A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules". https://arxiv.org/abs/1710.09829
google/jax - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Neural-Ordinary-Differential-Equations - Sample implementation of Neural Ordinary Differential Equations
confluo - Real-time Monitoring and Analysis of Data Streams https://ucbrise.github.io/confluo/
Deep-Neural-Networks-HealthCare - Tangible and Practical Deep Learning Projects Repository for Healthcare such as Cancer, Drug Discovery, Genomic and More
photomosaic - Creating fun photomosaics, GIFs, and murals from your family pictures using ML & similarity search (http://photofun.strikingly.com)
torchdiffeq - Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
facebookresearch/pytext - A natural language modeling framework based on PyTorch https://fb.me/pytextdocs
practicalAI - A practical approach to learning machine learning.
DeepCreamPy
DeOldify
adanet
graph_nets
MAMEToolkit
PocketFlow
video-to-ascii
sourcegraph
Microsoft/Ethr
mss_pytorch
VirtualtoReal-RL
fast-artistic-videos
blocksparse
vime
self-imitation-learning
MANet_for_Video_Object_Detection
NVIDIAGameWorks/PhysX-3.4
Me_Bot
MSG-GAN

NIPS 2018

Microsoft/onnxjs - ONNX.js: run ONNX models using JavaScript
osim-rl-helper - Helper for NIPS 2018 Challenge: AI for Prosthetics
awslabs/amazon-sagemaker-examples - Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker
d2l-en - Dive into Deep Learning (CV chapters coming soon) https://en.diveintodeeplearning.org
stanford-cs-230-deep-learning - VIP cheatsheets for Stanford's CS 230 Deep Learning
CSAILVision/gandissect - Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/
3DDFA - The pytorch improved re-implementation of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.
tencent-ml-images - Largest multi-label image database; ResNet-101 model; 80.73% top-1 acc on ImageNet
practical-cryptography-for-developers-book - Practical Cryptography for Developers: Hashes, MAC, Key Derivation, DHKE, Symmetric and Asymmetric Ciphers, Elliptic Curves, Digital Signatures https://cryptobook.nakov.com
http3-explained - A document describing the HTTP/3 and QUIC protocols https://daniel.haxx.se/http3-explained/
facebook/zstd - Zstandard - Fast real-time compression algorithm http://www.zstd.net
self_driving_pi_car - A deep neural network based self-driving car, that combines Lego Mindstorms NXT with the computational power of a Raspberry Pi 3.
Tiramisu-keras - Tiramisu — One hundred layers
PyTorch-GAN - PyTorch implementations of Generative Adversarial Networks.
pytorch-summary - Model summary in PyTorch similar to model.summary() in Keras
10-steps-to-become-a-data-scientist - In this repository, we want to review 10 skills as data scientist: Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve real problem for instance predict house prices
deep-learning-v2-pytorch - Projects and exercises for the latest Deep Learning ND program
hmtl - HMTL: Hierarchical Multi-Task Learning
torchdiffeq - Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
yandexdataschool - Yandex School of Data Analysis
cpp-compilation - A short description of the C++ build process
nlp_course - YSDA course in Natural Language Processing
tensorspace - Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js https://tensorspace.org
deep-rules - Ten Simple Rules for Deep Learning in Biology
openai/spinningup - An educational resource to help anyone learn deep reinforcement learning.
funNLP
awesome-graph-embedding
awesome-deep-learning-music - List of articles related to deep learning applied to music
Rochester-NRT/RocAlphaGo - An independent, student-led replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search" (Nature 529, 484-489, 28 Jan 2016), details of which can be found on their website https://deepmind.com/publications.html.
openface - Face recognition with deep neural networks. http://cmusatyalab.github.io/openface/
pytorch-pretrained-BERT - PyTorch version of Google AI's BERT model with script to load Google's pre-trained models
awful-ai - Awful AI is a curated list to track current scary usages of AI - hoping to raise awareness
Tencent/tencent-ml-images - Largest multi-label image database; ResNet-101 model; 80.73% top-1 acc on ImageNet
blueoil - Bring Deep Learning to small devices https://blue-oil.org
AlphaAI - Use unsupervised and supervised learning to predict stocks
Ngx - Ngx - Neural network based visual generator and mixer
albumentations - fast image augmentation library and easy to use wrapper around other libraries https://arxiv.org/abs/1809.06839
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, and PySpark and can be used from pure Python code.
holodeck - High Fidelity Simulator for Reinforcement Learning and Robotics Research. https://holodeck.cs.byu.edu
sotawhat - Returns latest research results by crawling arxiv papers and summarizing abstracts. Helps you stay afloat with so many new papers everyday.
MAMEToolkit - A Python toolkit used to train reinforcement learning algorithms against arcade games
intel-analytics/analytics-zoo - Distributed Tensorflow, Keras and BigDL on Apache Spark https://analytics-zoo.github.io
DeOldify - A Deep Learning based project for colorizing and restoring old images
YouMayNotNeedAttention
axiom - A powerful realtime node-based audio synthesizer.
Tencent/PocketFlow - An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.
facebookresearch/Horizon - A platform for Applied Reinforcement Learning (Applied RL)
google-research/bert - TensorFlow code and pre-trained models for BERT https://arxiv.org/abs/1810.04805
tensorflow/adanet - Fast and flexible AutoML with learning guarantees.
maskrcnn-benchmark - Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
practical-pytorch - PyTorch tutorials demonstrating modern techniques with readable code
DeepReinforcementLearning - A replica of the AlphaZero methodology for deep reinforcement learning in Python
Practical_RL - A course in reinforcement learning in the wild
Practical_DL - DL course co-developed by HSE, YSDA and Skoltech
ILearnDeepLearning.py -This repository contains small projects related to Neural Networks and Deep Learning in general. Subject are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action. https://medium.com/@piotr.skalski92
jupytext - ter notebooks as Markdown documents, Julia, Python or R scripts
transparent_latent_gan - Use supervised learning to illuminate the latent space of GAN for controlled generation and edit
nlp_course - YSDA course in Natural Language Processing
Learn_Data_Science_in_3_Months - This is the Curriculum for "Learn Data Science in 3 Months" By Siraj Raval on Youtube
DeepCreamPy - Decensoring Hentai with Deep Neural Networks
awesome-embedding-models
Machine-Learning-for-Finance
facebookresearch/maskrcnn-benchmark - Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
DeepLearningProject - An end to end tutorial of a machine learning pipeline from Harvard
aleph_star - Reinforcement learning with A* and a deep heuristic
presentations
fastai/course-v3 - The 3rd edition of course.fast.ai - coming in 2019
DeepLearning-500-questions
magenta-demos - Demonstrations of Magenta Models
TGS-SaltNet - Kaggle | 22nd place solution for TGS Salt Identification Challenge
deepmind/trfl - TensorFlow Reinforcement Learning
data-science-complete-tutorial - Notebooks to learn data science - Videos https://www.edyoda.com/resources/videolisting/1416/
deepmind/graph_nets -
Awesome-pytorch-list - A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
probability - Probabilistic reasoning and statistical analysis in TensorFlow https://www.tensorflow.org/probability/
BERT-pytorch - Google AI 2018 BERT pytorch implementation
tencent-ml-images - Largest multi-label image database; ResNet-101 model; 80.73% top-1 acc on ImageNet
photoprism
DeepMimic : Motion imitation with deep reinforcement learning.
TensorFlow-World-Resources
keras-resources: Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library
google/active-qa
Realtime_Multi-Person_Pose_Estimation : Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)
advisor : Open-source implementation of Google Vizier for hyper parameters tuning https://advisor.readthedocs.io
fastprogress: Simple and flexible progress bar for Jupyter Notebook and console
al-go-rithms: Algorithms written in different programming languages - https://zoranpandovski.github.io/al-go-rithms/
dl-imperial-maths: Code and assignment repository for the Imperial College Mathematics department Deep Learning course
pygdf : Python GPU DataFrame Library http://rapids.ai
quick-SQL-cheatsheet
nvtop : NVIDIA GPUs htop like monitoring tool
pytorch-coreml-example
Azure/data-ai-iot: Readiness for Data and AI and IoT
learnopencv : Learn OpenCV : C++ and Python Examples
opencv.org/links
synthetic_gradients_explained
quantum_machine_learning
Google_Dopamine_(LIVE)
TPU_MachineLearning
primo.ai
mpitutorial
wheels : Performance-optimized wheels for TensorFlow (SSE, AVX, FMA, XLA, MPI)
deepmind/conditional-neural-process
deepmind/symplectic-gradient-adjustment
NLP-with-Python : Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more
ismir2018_tutorial : Deep Learning for Music Information Retrieval
apricot :
generative-models : Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN
onnx/tutorials : Tutorials for using ONNX
tvm : Open deep learning compiler stack for cpu, gpu and specialized accelerators https://tvm.ai
Awesome-CoreML-Models : Largest list of models for Core ML (for iOS 11+)
AI Residency Programs
Awesome-pytorch-list
Deep-Learning-World
video-nonlocal-net
Meetups-Data-AI-DFW : Content for Meetups for DATA & AI - Microsoft DFW
cortana-intelligence-customer360
deep_learning_object_detection
pytorch-summary
model-analysis
MLInterview
gym-maze
twine : Utilities for interacting with PyPI
microsoftLearning/Research-Methods-for-Data-Science-with-Python
r-server-fraud-detection
hindi2vec : State-of-the-Art Language Modeling and Text Classification in Hindi Language http://nirantk.com/hindi2vec
nlp.js
long-term-video-prediction-without-supervision
Microsoft/ailab
Hands-on Intelligent Agents with OpenAI Gym (HOIAWOG)
pipeline : PipelineAI: Real-Time Enterprise AI Platform https://pipeline.ai
coursera-natural-language-processing
60_Days_RL_Challenge
Grokking-Deep-Learning
deepbayes-2018
Advanced-Deep-Learning-with-Keras
salesforce/TransmogrifAI
License-Plate-Detect-Recognition-via-Deep-Neural-Networks-accuracy-up-to-99.9 : Works in real-time with detection and recognition accuracy up to 99.8% for Chinese license plates: 100 ms/plate
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, and more. All exercises include solutions.
autokeras : This is an automated machine learning (AutoML) package. http://autokeras.com/
100-Days-Of-ML-Code
easy-scraping-tutorial
nn4nlp-code : Code Samples from Neural Networks for NLP
deepvoice3_pytorch : PyTorch implementation of convolutional neural networks-based text-to-speech synthesis models
PeerRead : Data and code for Kang et al., NAACL 2018's paper titled "A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications"
deep-voice-conversion : Deep neural networks for voice conversion (voice style transfer) in Tensorflow
mil : Code for "One-Shot Visual Imitation Learning via Meta-Learning"
missingno : Missing data visualization module for Python.
deepmind/narrativeqa : The NarrativeQA Reading Comprehension Challenge Dataset
stat-nlp-book : Interactive Lecture Notes, Slides and Exercises for Statistical NLP
FinanceOps : Research in investment finance with Python Notebooks
NAF-tensorflow : "Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow
FC-DenseNet : Fully Convolutional DenseNets for semantic segmentation.
PythonDataScienceHandbook
Awesome-Design-Tools - The best design tools for everything 👉 https://flawlessapp.io/designtools
front-end-handbook-2019

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udacity/deep-reinforcement-learning : Repo for the Deep Reinforcement Learning Nanodegree program
Mask-RCNN : A PyTorch implementation of the architecture of Mask RCNN, serves as an introduction to working with PyTorch
cascade-rcnn : Caffe implementation of multiple popular object detection frameworks
google/data-transfer-project : The Data Transfer Project makes it easy for people to transfer their data between online service providers. We are establishing a common framework, including data models and protocols, to enable direct transfer of data both into and out of participating online service providers. http://datatransferproject.dev
PythonRobotics : Python sample codes for robotics algorithms. https://atsushisakai.github.io/PythonRobotics/
Grokking-Deep-Learning : this repository accompanies my forthcoming book "Grokking Deep Learning"
mxnet-the-straight-dope : An interactive book on deep learning. Much easy, so MXNet. Wow. http://gluon.mxnet.io
unet : unet for image segmentation
tvm :Open deep learning compiler stack for cpu, gpu and specialized accelerators https://tvm.ai
albumentations : fast image augmentation library and easy to use wrapper around other libraries
Slides-SciPyConf-2018 : A repository for public storage of slides given at the 17th Python in Science Conferences (2018)
probability : Probabilistic reasoning and statistical analysis in TensorFlow
MATRIXAI : Matrix's AI research and related contents
ansible-jupyter-kernel : Jupyter Notebook Kernel for running Ansible Tasks and Playbooks
compare_gan : Compare GAN code
serving : A flexible, high-performance serving system for machine learning models https://www.tensorflow.org/serving
Detectron.pytorch : A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
distiller : Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller
Improved_WGAN : Implementation of the "Improved Training of Wasserstein GANs" paper in TensorFlow
docker-tensorflow-builder : Docker images to compile TensorFlow yourself.
Attentive-Group-Recommendation : Atentive Group Recommendation
mlens : ML-Ensemble – high performance ensemble learning http://ml-ensemble.com
relaax : Reinforcement Learning framework to facilitate development and use of scalable RL algorithms and applications
QuantumKatas
tensorflow-without-a-phd : A crash course in six episodes for software developers who want to become machine learning practitioners.
ML_Learning_In_Action : ML study process record
PyTorch-Deep-Learning-Minicourse : Minicourse in Deep Learning with PyTorch
pytorch-book : PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation
CFDPython - A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
eva-icons - A pack of more than 480 beautifully crafted Open Source icons. SVG, Sketch, Web Font and Animations support. https://akveo.github.io/eva-icons/
messenger-app-android

Others

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test-your-sysadmin-skills
PacktPublishing
react-developer-roadmap: Roadmap to becoming a React developer in 2018
javascript-algorithms : Algorithms and data structures implemented in JavaScript with explanations and links to further readings
Front-End-Performance-Checklist : The only Front-End Performance Checklist that runs faster than the others https://frontendchecklist.io(soon on)
InterviewMap : Build the best interview map. The current content includes JS, network, browser related, performance optimization, security, framework, Git, data structure, algorithm, etc. https://yuchengkai.cn/docs/
react-values : A set of tiny React components for handling state with render props.
fathom:Fathom. Simple, trustworthy website analytics. Built with Golang & Preact. https://usefathom.com/
graphql-engine : Blazing fast, instant GraphQL APIs on Postgres with fine grained access control https://hasura.io
storybook
Front-End-Checklist
open-source-ideas
data-science-question-answer
nodebestpractices
learn-python
awesome-reactnative-ui
ToolsOfTheTrade
Python
free-for-dev
https-portal
Python
graphql-editor
Advanced-React
react-native-testing-library
Hello-world
33-js-concepts
awesome-actions
omi - Next generation web framework in 4kb JavaScript (Web Components + JSX + Proxy + Store + Path Updating) http://omijs.org
mio - Cross-platform header-only C++11 library for memory mapped file IO
frontend-tech-list
hardware-effects - Demonstration of various hardware effects.
edex-ui - A science fiction terminal emulator designed for large touchscreens that runs on all major OSs.
ncc - Node.js Compiler Collection
Cyanea - A theme engine for Android
the-book-of-secret-knowledge
FAQGURU - A list of interview questions. This repository is everything you need to prepare for your technical interview.
react-jsonschema-form - A React component for building Web forms from JSON Schema.
jupytext - Jupyter notebooks as Markdown documents, Julia, Python or R scripts
goldpinger - Debugging tool for Kubernetes which tests and displays connectivity between nodes in the cluster.
nodebestpractices - The largest Node.JS best practices list (November 2018) https://twitter.com/nodepractices/
awesome-golang-security - Awesome golang Security resources
sherlock - Find usernames across over 75 social networks
awesome-interview-questions - A curated awesome list of lists of interview questions. Feel free to contribute!
Toshi - A full-text search engine in rust
earth-reverse-engineering
professional-programming
d5/tengo - A fast script language for Go https://tengolang.com
tinyraytracer - A brief computer graphics / rendering course
kubernetes-failure-stories - Compilation of public failure/horror stories related to Kubernetes
serverless-failure-stories - Compilation of public failure/horror stories related to Serverless, inspired by hjacobs/kubernetes-failure-stories
Awesome-Game-Networking - A Curated List of Game Network Programming Resources
the-practical-linux-hardening-guide - ⚡️ This guide details the planning and the tools involved in creating a secure Linux production systems - work in progress.
ARMmbed/littlefs - A little fail-safe filesystem designed for microcontrollers
queueing_theory - Queueing theory: an introduction for software development
awesome-mobile-web-development
awesome-podcasts
big-list-of-naughty-strings
react-movable - 🔀 Drag and drop for your React lists and tables. Accessible. Tiny.
github-history
react-testing-library
How-To-Secure-A-Linux-Server - An evolving how-to guide for securing a Linux server.
Awesome-Design-Tools - The best design tools for everything.
awesome-startup-credits - ✨ A collection of awesome companies offering free/discounted plans for eligible startups
personal-website
hacker-news-undocumented - Some of the hidden norms about Hacker News not otherwise covered in the Guidelines and the FAQ.
libphonenumber - Google's common Java, C++ and JavaScript library for parsing, formatting, and validating international phone numbers.
subsync - Automagically synchronize subtitles with video.
Microsoft/frontend-bootcamp - Frontend Workshop from HTML/CSS/JS to TypeScript/React/Redux
learn-anything - Organize world's knowledge, explore connections and curate learning paths https://learn-anything.xyz
duckduckgo - DuckDuckGo Instant Answer Infrastructure http://duckduckhack.com/
hacker101 - Hacker101 https://www.hacker101.com
public-apis
react-loops

AI Residency

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Google AI Residency Program [Link]. [Reddit Link 1], [Reddit Link 2]
Microsoft AI Residency Program [Link] ,[Reddit Link 1]
Microsoft NERD Artificial Intelligence Program [Link]
Facebook AI Residency Program [Link], [ Reddit Link 1], [Reddit Link 2], [Reddit Link 3]
Uber AI Residency [Link], [Reddit Link]
PFN (Preferred Networks) AI residency program [Link]
Fall NAVER Clova AI Research Global Residency Program [Link]
OpenAI 2019 Winter Scholars [Link]
Profile for Google AI Program [Link]
My year at Brain.
Google Brain Residency
The Google Brain Residency Program - One Year Later
Intel AI Residency
NVIDIA AI Research Residency - 2019
Academic, Research Positions in Big Data, Data Mining, Data Science, Machine Learning
Meetings / Conferences on AI, Analytics, Big Data, Data Mining, Data Science, & Machine Learning

Google Research 2006 - 2014

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Google Research - 2015

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Google Research - 2016

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Google Research - 2017

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Google Research - 2018

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Microsoft Research

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Uber AI Labs

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from 2016

2017

2018

Nvidia AI

IBM AI

MIT CSAIL

Baidu AI

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2018

BAIR

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2018

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Maintainer

Gopala KR / @gopala-kr

Name		Name	Last commit message	Last commit date
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photons		photons
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
ga.md		ga.md
qc.md		qc.md
space20.md		space20.md
st.md		st.md
tr-20.md		tr-20.md
tr-21.md		tr-21.md
tr-22.md		tr-22.md
tr-23.md		tr-23.md
tr-24.md		tr-24.md

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