Stars
A high-performance inference engine for LLMs, optimized for diverse AI accelerators.
NVSentinel is a cross-platform fault remediation service designed to rapidly remediate runtime node-level issues in GPU-accelerated computing environments
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
One-for-All Multimodal Evaluation Toolkit Across Text, Image, Video, and Audio Tasks
The comprehensive WSGI web application library.
Autonomous coding agent right in your IDE, capable of creating/editing files, executing commands, using the browser, and more with your permission every step of the way.
Sysinternals jcd (jump change directory) is a Rust-based command-line tool that provides enhanced directory navigation with substring matching and smart selection. It's like the cd command, but wit…
Intuitive, easy CLIs based on python type hints.
NVIDIA NVSHMEM is a parallel programming interface for NVIDIA GPUs based on OpenSHMEM. NVSHMEM can significantly reduce multi-process communication and coordination overheads by allowing programmer…
QuTLASS: CUTLASS-Powered Quantized BLAS for Deep Learning
Evaluate and Enhance Your LLM Deployments for Real-World Inference Needs
Dynolog is a telemetry daemon for performance monitoring and tracing. It exports metrics from different components in the system like the linux kernel, CPU, disks, Intel PT, GPUs etc. Dynolog also …
🚀🚀 Efficient implementations of Native Sparse Attention
Python tool for converting files and office documents to Markdown.
Manage multiple AI terminal agents like Claude Code, Aider, Codex, OpenCode, and Amp.
Offline optimization of your disaggregated Dynamo graph
A command-line interface tool for serving LLM using vLLM.
Open-source framework for the research and development of foundation models.
Learn GPU Programming in Mojo🔥 by Solving Puzzles
NSA Triton Kernels written with GPT5 and Opus 4.1
Peer-to-peer, editor-agnostic collaborative editing of local text files.
Open-source infrastructure for Computer-Use Agents. Sandboxes, SDKs, and benchmarks to train and evaluate AI agents that can control full desktops (macOS, Linux, Windows).