Stars
Spectral simulation of analog photography processes
Official CLI and Python SDK for Prime Intellect - access GPU compute, remote sandboxes, RL environments, and distributed training infrastructure for AI development at scale.
Accelerating MoE with IO and Tile-aware Optimizations
Slurmtop is a refreshing and intuitive terminal user interface for monitoring SLURM clusters
This project provides resilient training logic to improve the training efficiency of large-scale distributed workloads on Google Cloud.
A debugging and profiling tool that can trace and visualize python code execution
A high-performance kernel library for LLM training
Flash-Muon: An Efficient Implementation of Muon Optimizer
prime is a framework for efficient, globally distributed training of AI models over the internet.
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
An Open Source Toolkit For LLM Distillation
A PyTorch native platform for training generative AI models
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning & ReCall: Learning to Reason with Tool Call for LLMs via Reinforcement Learning
[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"
[ICLR 2025 Oral] Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models
Official PyTorch implementation for "Large Language Diffusion Models"
A framework for few-shot evaluation of language models.
Production-tested AI infrastructure tools for efficient AGI development and community-driven innovation
⏩ Source-controlled AI checks, enforceable in CI. Powered by the open-source Continue CLI
A playbook for systematically maximizing the performance of deep learning models.
Efficient Triton Kernels for LLM Training
Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets