CUDA
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.
Here are 4,327 public repositories matching this topic...
Build and run Docker containers leveraging NVIDIA GPUs
-
Updated
May 20, 2023 - Makefile
Instant neural graphics primitives: lightning fast NeRF and more
-
Updated
Jul 13, 2023 - Cuda
kaldi-asr/kaldi is the official location of the Kaldi project.
-
Updated
May 5, 2023 - Shell
Open3D: A Modern Library for 3D Data Processing
-
Updated
Jul 25, 2023 - C++
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.
-
Updated
Jul 26, 2023 - Python
A flexible framework of neural networks for deep learning
-
Updated
Oct 17, 2022 - Python
Go package for computer vision using OpenCV 4 and beyond.
-
Updated
Jul 22, 2023 - Go
Containers for machine learning
-
Updated
Jul 26, 2023 - Go
OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.
-
Updated
Jul 16, 2023 - C++
Tengine is a lite, high performance, modular inference engine for embedded device
-
Updated
Jun 26, 2023 - C++
ArrayFire: a general purpose GPU library.
-
Updated
Jul 20, 2023 - C++
Samples for CUDA Developers which demonstrates features in CUDA Toolkit
-
Updated
Jun 30, 2023 - C
A PyTorch Library for Accelerating 3D Deep Learning Research
-
Updated
Jul 26, 2023 - Python
cuML - RAPIDS Machine Learning Library
-
Updated
Jul 26, 2023 - C++
Created by Nvidia
Released June 23, 2007
- Followers
- 163 followers
- Website
- developer.nvidia.com/cuda-zone
- Wikipedia
- Wikipedia

