CUDA® is a parallel computing platform and programming model developed by NVIDIA for general computing on graphical processing units (GPUs). With CUDA, developers are able to dramatically speed up computing applications by harnessing the power of GPUs.
A high-throughput and memory-efficient inference and serving engine for LLMs
Build and run Docker containers leveraging NVIDIA GPUs
Instant neural graphics primitives: lightning fast NeRF and more
kaldi-asr/kaldi is the official location of the Kaldi project.
Open3D: A Modern Library for 3D Data Processing
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.
Modular ZK(Zero Knowledge) backend accelerated by GPU
Containers for machine learning
Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, and OpenCV Contrib.
Samples for CUDA Developers which demonstrates features in CUDA Toolkit
A flexible framework of neural networks for deep learning
OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.
CUDA Templates for Linear Algebra Subroutines
[ARCHIVED] The C++ parallel algorithms library. Seehttps://github /NVIDIA/cccl
Created byNvidia
ReleasedJune 23, 2007