Repository Index

Sutskever 30 implementations inspired by https://papercode.vercel.app/ | For Agents, use https://github.com/pageman/Sutskever-Agent | Polyglot / Multi-Backed version at https://github.com/pageman/sutskever-30-beyond-numpy

CoTracker is a model for tracking any point (pixel) on a video.

• optical-flow
• point-tracking
• track-anything

Repo for the Deep Reinforcement Learning Nanodegree program

• deep-reinforcement-learning
• reinforcement-learning
• reinforcement-learning-algorithms
• neural-networks

Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)

• human-pose-estimation
• realtime
• caffe
• human-behavior-understanding

links to conference publications in graph-based deep learning

• graph-neural-networks
• graph-convolutional-networks
• graph
• deep-learning

Translated🎓 Academic portfolio that boosts citations. AI generates pages, you own as Markdown. BibTeX auto-import, Jupyter, LaTeX, slides, visual block editor — free to host forever. Academic homepage, AI-generated, Markdown-owned 👇

• hugo
• website-generation
• academic
• netlify

Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.

• dependency-graph

The "Python Machine Learning (3rd edition)" book code repository

• machine-learning
• deep-learning
• tensorflow
• scikit-learn

A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

• machine-learning
• deep-learning
• data-science
• neural-networks

A Bulletproof Way to Generate Structured JSON from Language Models

Translated"Deep Learning from Scratch" (O'Reilly Japan, 2016)

The 3rd edition of course.fast.ai

• data-science
• fastai
• deep-learning
• pytorch

🚀 An open-source, hands-on curriculum bridging the gap from basic RL concepts to LLM alignment, RLVR, and advanced Agentic systems.

• agent
• agentic
• agentic-ai
• agentic-rl

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

• machine-learning
• economics
• causal-inference
• causality

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

• bayesian-methods
• deep-learning
• machine-learning
• data-science

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

• data-science
• machine-learning
• deep-learning
• data-portfolio

TranslatedKnowledge, code, and ideas for data mining, computer vision, natural language processing, and recommender system competitions

• kaggle
• data-competition
• data-science
• deep-learning

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

• reinforcement-learning
• machine-learning
• artificial-intelligence
• deep-reinforcement-learning

🔥 LeetCode for PyTorch — practice implementing softmax, attention, GPT-2 and more from scratch with instant auto-grading. Jupyter-based, self-hosted or try online.

• interview
• leetcode
• pytorch

35 production-grade agentic AI architectures (Reflexion, LATS, GraphRAG, MemGPT, Voyager, BrowserAgent, ...) — a Python library and runnable textbook with multi-provider LLM support and a 17-task benchmark leaderboard.

• agentic-ai
• ai-agents
• langchain
• langgraph

Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do

JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.

• deep-learning
• jax
• speech-recognition
• speech-to-text

Translated"PyTorch Practical Tutorial" (Second Edition): whether you are starting from zero, working on CV, NLP, or LLM project applications, or moving on to advanced engineering deployment, it's all here. We believe that with the help of this book, readers will be able to master the use of PyTorch with ease and become an excellent deep learning engineer.

• computer-vision
• deepsort
• diffusion-models
• onnx

Python code for common Machine Learning Algorithms

• linear-regression
• polynomial-regression
• logistic-regression
• decision-trees