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Learning
Here you can get all the Quantum Projects and the descriptions of the projects around the web
this is downloadings of all educative.io free student subscription courses as pdf from GitHub student pack
Master programming by recreating your favorite technologies from scratch.
A rewrite of course-sdk, with better developer ergonomics
A short guide on features of Python 3 with examples
MICCAI 2022 Code for the paper: D'ARTAGNAN: Counterfactual Video Generation
t-sne visualization of mnist images when feature is represented by raw pixels and cnn learned feature
Code for paper: Visual-Semantic Graph Attention Networks for Human-Object Interaction Detection. Project page: http://www.juanrojas.net/vspgmn/
Rebuild SRNN with pytoch. Realize human activities detection as well as anticipation.
A system for Human-Object Interaction (HOI) in real scene.
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dmls-book`
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Homepage for STAT 157 at UC Berkeley
Free MLOps course from DataTalks.Club
Learn by doing: DIY project groups at DataTalks.Club
Learn ML engineering for free in 4 months! Register here 👇🏼
The Hugging Face Course on Transformers for Audio
The Hugging Face Course on Transformers for Audio
Naive Bayes Tweet Sentiment Classifier in Kotlin
JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.
Distilled variant of Whisper for speech recognition. 6x faster, 50% smaller, within 1% word error rate.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Evaluation of feature extraction methods for query-by-example spoken term detection with low resource languages
Code associated with the paper: Neural Representations for Modeling Variation in Speech.
Open source codebase powering the HuggingChat app
[ECCV2024] VideoMamba: State Space Model for Efficient Video Understanding
🇨🇳 GitHub中文排行榜,各语言分设「软件 | 资料」榜单,精准定位中文好项目。各取所需,高效学习。


