A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

A C++-based, cross platform ray tracing library

Making it easier to work with shaders

Main repository for QMCPACK, an open-source production level many-body ab initio Quantum Monte Carlo code for computing the electronic structure of atoms, molecules, and solids with full performance portable GPU support

Templated CUDA/C++17 path tracer.

RAPIDS Memory Manager

A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilization in both training and inference.

OpenCL integration for Python, plus shiny features

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

cuDF - GPU DataFrame Library

Open Voice OS Status Page

A high-performance inference system for large language models, designed for production environments.

GPU-accelerated, C/C++ neural network library.

Pytorch domain library for recommendation systems

Software for mirroring windows desktops using Windows.Graphics.Capture API and CUDA. Captured frames are encoded using CUDA

CUDA C++ Core Libraries

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.

A model-independent chemistry module for atmosphere models

Run AI models locally on your machine with node.js bindings for llama.cpp. Force a JSON schema on the model output on the generation level