Stars
Open-source library for scalable, reproducible evaluation of AI models and benchmarks.
NVIDIA Isaac GR00T N1.5 - A Foundation Model for Generalist Robots.
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
SGLang is a fast serving framework for large language models and vision language models.
A Datacenter Scale Distributed Inference Serving Framework
Model Context Protocol Servers
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
A high-performance distributed file system designed to address the challenges of AI training and inference workloads.
A bidirectional pipeline parallelism algorithm for computation-communication overlap in DeepSeek V3/R1 training.
DeepEP: an efficient expert-parallel communication library
FlashMLA: Efficient Multi-head Latent Attention Kernels
The official Python library for the OpenAI API
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
aider is AI pair programming in your terminal
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
Development repository for the Triton language and compiler
The official repo of MiniMax-Text-01 and MiniMax-VL-01, large-language-model & vision-language-model based on Linear Attention
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
Open deep learning compiler stack for cpu, gpu and specialized accelerators
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.
A toolkit for developing and comparing reinforcement learning algorithms.
NumPy aware dynamic Python compiler using LLVM
A library of reinforcement learning components and agents
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
A differentiable PDE solving framework for machine learning
A latent text-to-image diffusion model