DeepGEMM: clean and efficient FP8 GEMM kernels with fine-grained scaling

Production-tested AI infrastructure tools for efficient AGI development and community-driven innovation

FlashMLA: Efficient MLA decoding kernels

MoBA: Mixture of Block Attention for Long-Context LLMs

A Flexible Framework for Experiencing Cutting-edge LLM Inference Optimizations

An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of this repo is to provide the si…

verl: Volcano Engine Reinforcement Learning for LLMs

🙌 OpenHands: Code Less, Make More

Everything you need to build state-of-the-art foundation models, end-to-end.

OLMoE: Open Mixture-of-Experts Language Models

This repo contains the code for "VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks" [ICLR25]

Get your documents ready for gen AI

The Open Cookbook for Top-Tier Code Large Language Model

Official inference framework for 1-bit LLMs

Freeing data processing from scripting madness by providing a set of platform-agnostic customizable pipeline processing blocks.

Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to clo…

A Python 3 compatible version of goose http://goose3.readthedocs.io/en/latest/index.html

[CVPR 2025] The official CLIP training codebase of Inf-CL: "Breaking the Memory Barrier: Near Infinite Batch Size Scaling for Contrastive Loss". A super memory-efficiency CLIP training scheme.

Python bindings for FFmpeg - with complex filtering support

A simple screen parsing tool towards pure vision based GUI agent

HyperTree Proof Search for Neural Theorem Proving -- "La science est l'œuvre de l'esprit humain, qui est plutôt destiné à étudier qu'à connaître, à chercher qu'à trouver la vérité."

Chronos: Pretrained Models for Probabilistic Time Series Forecasting

Homepage for ProLong (Princeton long-context language models) and paper "How to Train Long-Context Language Models (Effectively)"

A bibliography and survey of the papers surrounding o1

👨‍💻 An awesome and curated list of best code-LLM for research.

OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models

Official code implementation of General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Model