MattiaSC01

rl-tutorial-jnrr19

Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019

crawlee-python

Crawlee—A web scraping and browser automation library for Python to build reliable crawlers. Extract data for AI, LLMs, RAG, or GPTs. Download HTML, PDF, JPG, PNG, and other files from websites. Works with BeautifulSoup, Playwright, and raw HTTP. Both headful and headless mode. With proxy rotation.

build-your-own-x

Master programming by recreating your favorite technologies from scratch.

LLMs-from-scratch

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

build-nanogpt

Video+code lecture on building nanoGPT from scratch

llm.c

LLM training in simple, raw C/CUDA

wiki-savvy-rag

Finetuned an LLM to build a Wikipedia-backed RAG system expert about STEM subjects. Features a streamlit demo.

cookbook

Open-source AI cookbook

hierarchy-learning

Learning a hierarchical model of data with neural networks.

coding-interview-university

A complete computer science study plan to become a software engineer.

Entropic-Optimization-Algorithms

Studied a class of entropic optimization algorithms for deep learning, in the unsupervised learning setting. Found evidence that they improve generalization and denoising capabilities of autoencoders.

vector-quantize-pytorch

Vector (and Scalar) Quantization, in Pytorch

PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.

Diffusion-Models-pytorch

Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)

sam

SAM: Sharpness-Aware Minimization (PyTorch)

OLMo

Modeling, training, eval, and inference code for OLMo

the-art-of-debugging

The Art of Debugging

ml-engineering

Machine Learning Engineering Open Book

alphageometry

faiss

A library for efficient similarity search and clustering of dense vectors.

llama.cpp

LLM inference in C/C++

HelloSilicon

An introduction to ARM64 assembly on Apple Silicon Macs

Stockfish

A free and strong UCI chess engine

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

annotated_deep_learning_paper_implementations

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

alpha-zero-general

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

interpretability-starter

🧠 Starter templates for doing interpretability research

Python

All Algorithms implemented in Python

minGPT

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training