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

Machine Learning Journal for Intermediate to Advanced Topics.

Tenstorrent's MLIR Based Compiler. We aim to enable developers to run AI on all configurations of Tenstorrent hardware, through an open-source, general, and performant compiler.

Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning

Animation engine for explanatory math videos

A community-maintained Python framework for creating mathematical animations.

Solve puzzles. Learn CUDA.

🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴

A scikit-learn compatible neural network library that wraps PyTorch

PyTorch compiler that accelerates training and inference. Get built-in optimizations for performance, memory, parallelism, and easily write your own.

Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek, Qwen, Llama, Gemma, TTS 2x faster with 70% less VRAM.

Fast and memory-efficient exact attention

Run frontier AI locally.

Crawlee—A web scraping and browser automation library for Node.js to build reliable crawlers. In JavaScript and TypeScript. Extract data for AI, LLMs, RAG, or GPTs. Download HTML, PDF, JPG, PNG, an…

Rapidly build AI apps in Python

An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

21 Lessons, Get Started Building with Generative AI

Minimal and clean examples of machine learning algorithms implementations

Continual Learning papers list, curated by ContinualAI

Daytona is a Secure and Elastic Infrastructure for Running AI-Generated Code

An extremely fast Python package and project manager, written in Rust.

A Software Framework for Neuromorphic Computing

Co^2L: Contrastive Continual Learning (ICCV2021)

Update arXiv papers about Spiking Neural Networks daily.

Neuromorphic Intermediate Representation reference implementation

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

An event-driven learning algorithm for spiking neural networks

Helps you write algorithms in PyTorch that adapt to the available (CUDA) memory

An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.