165 repositories starred since Apr 2010. Mostly machine learning and data, and lately AI and language models.

Run the full 2.78-trillion-parameter Kimi K3 model, DeepSeek V4.1 Flash or GLM-5.3-Flash beyond available RAM by streaming activated weights directly from NVMe. A dependency-free, embeddable C inference engine.

Multi-subscription extension for pi -- use multiple OAuth accounts per provider (Anthropic, Codex, Copilot, Gemini, Antigravity)

Very low latency speech to text, intent recognition, and text to speech, for building voice agents and interfaces

Beautiful, Modern & Opinionated Linux

Minimal Claude Code alternative. Single Python file, zero dependencies, ~250 lines.

The open source coding agent.

A tiny CPU simulator written in Python

Our library for RL environments + evals

FlexAttention based, minimal vllm-style inference engine for fast Gemma 2 inference.

gpt-oss-120b and gpt-oss-20b are two open-weight language models by OpenAI

Wan: Open and Advanced Large-Scale Video Generative Models

Simple MPI implementation for prototyping or learning

The simplest, fastest repository for training/finetuning small-sized VLMs.

Minimalistic 4D-parallelism distributed training framework for education purpose

Implementing DeepSeek R1's GRPO algorithm from scratch

Frontier Models playing the board game Diplomacy.

Minimal reproduction of DeepSeek R1-Zero

Official repository for our work on micro-budget training of large-scale diffusion models.

NanoGPT (124M) in 90 seconds

A PyTorch native platform for training generative AI models

Efficient Triton Kernels for LLM Training

Apple MLX native implementations of state-of-the-art generative image & video models

Official inference repo for FLUX.1 models

the scott CPU from "But How Do It Know?" by J. Clark Scott

Run PyTorch LLMs locally on servers, desktop and mobile

Animation engine for explanatory math videos

A lightweight library for portable low-level GPU computation using WebGPU.

Simple Byte pair Encoding mechanism used for tokenization process . written purely in C

UNet diffusion model in pure CUDA

[ICLR 2025] Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

gpt-2 from scratch in mlx

User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

Implementation of Diffusion Transformer (DiT) in JAX

Implementation for MatMul-free LM.

Schedule-Free Optimization in PyTorch

The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faster.

Vane is an AI-powered answering engine.

My favorite C programming practices.

Tile primitives for speedy kernels

A minimal GPU design in Verilog to learn how GPUs work from the ground up

lightweight, standalone C++ inference engine for Google's Gemma models.

LLM inference in C/C++

Distribute and run LLMs with a single file.

A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.

Fast bare-bones BPE for modern tokenizer training

The official PyTorch implementation of Google's Gemma models

A benchmark to evaluate language models on questions I've previously asked them to solve.

Official implementation for the paper: "Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering""

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

MLX: An array framework for Apple silicon