Clean PyTorch implementations of imitation and reward learning algorithms

A high-throughput and memory-efficient inference and serving engine for LLMs

Code for Paper: Training Software Engineering Agents and Verifiers with SWE-Gym

Clean, minimal, accessible reproduction of DeepSeek R1-Zero

Sky-T1: Train your own O1 preview model within $450

Pretraining code for a large-scale depth-recurrent language model

Tenstorrent TT-BUDA Repository

🤘 TT-NN operator library, and TT-Metalium low level kernel programming model.

SciPy library main repository

Shared Middle-Layer for Triton Compilation

[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)

Fully open data curation for reasoning models

Redpanda is a streaming data platform for developers. Kafka API compatible. 10x faster. No ZooKeeper. No JVM!

Ecosystem of libraries and tools for writing and executing fast GPU code fully in Rust.

FFMPEG Assembly Language Lessons

The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.

Open deep learning compiler stack for cpu, gpu and specialized accelerators

Puzzles for learning Triton

Awesome resources for GPUs

Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.

Self-hosted AI coding assistant

<⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.

The official code repository for the second edition of the O'Reilly book Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play.

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

A curated list of Generative AI tools, works, models, and references

Finetune Llama 3.3, DeepSeek-R1 & Reasoning LLMs 2x faster with 70% less memory! 🦥