Cuda Ecosystem

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.

Community Repos

Experts

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Created by: NVIDIA

Released: June 23, 2007

Keywords

gpu 159 python 89 pytorch 69 cpp 58 nvidia 57 machine-learning 50 deep-learning 48 opencl 36 gpgpu 31 rust 31

Languages

C++ 132 Python 122 Cuda 63 Rust 30 Jupyter Notebook 26 C 26 Shell 16 Dockerfile 12 Julia 11 Go 6

Licenses

MIT 158 APACHE-2.0 73 OTHER 55 GPL-3.0 41 BSD-3-CLAUSE 24 GPL-2.0 6 BSD-2-CLAUSE 5 CC0-1.0 4 LGPL-3.0 4 AGPL-3.0 2

https://github.com/neoheartbeats/neoheartbeats-kernel

An architecture for LLMs' continual-learning and long-term memories

26 Jul 2024 4

https://github.com/NVIDIA/nvImageCodec

A nvImageCodec library of GPU- and CPU- accelerated codecs featuring a unified interface

04 Oct 2023 58

ezlocalai

ezlocalai is an easy to set up local artificial intelligence server with OpenAI Style Endpoints

02 Oct 2023 72

https://github.com/kwea123/ngp_pl

Instant-ngp in pytorch+cuda trained with pytorch-lightning (high quality with high speed, with only few lines of legible code)

30 Jun 2022 1,209

efficient-dl-systems

Efficient Deep Learning Systems course materials (HSE, YSDA)

06 Dec 2021 651

https://github.com/johnh2o2/cuvarbase

Python library for fast time-series analysis on CUDA GPUs

22 Jun 2017 24

https://github.com/src-d/kmcuda

Large scale K-means and K-nn implementation on NVIDIA GPU / CUDA

23 Jun 2016 797