nvidia Goto Github PK
Name: NVIDIA Corporation
Type: Organization
Location: 2788 San Tomas Expressway, Santa Clara, CA, 95051
Blog: www.nvidia.com
NVIDIA Corporation's Projects
cuda-cpp-grammar
Grammar files for CUDA C++
cuda-gdb
CUDA GDB
cuda-profiler
Tools and extensions for CUDA profiling
cuda-python
CUDA Python Low-level Bindings
cuda-quantum
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
cuda-repo-management
Scripts for managing Debian and RPM package repositories
cuda-samples
Samples for CUDA Developers which demonstrates features in CUDA Toolkit
cudalibrarysamples
CUDA Library Samples
cudecomp
An Adaptive Pencil Decomposition Library for NVIDIA GPUs
cudnn-frontend
cudnn_frontend provides a c++ wrapper for the cudnn backend API and samples on how to use it
cumulus-test-drive
Testing and validation scripts and playbooks for Cumulus Linux Workshops
cuopt-resources
A collection of NVIDIA cuOpt samples and other resources
cuquantum
Home for cuQuantum Python & NVIDIA cuQuantum SDK C++ samples
cutlass
CUDA Templates for Linear Algebra Subroutines
dali
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
dali_deps
3rd party dependencies for DALI project
dali_extra
Test data for DALI project
data-science-blueprints
Systems that show how to accelerate modern machine learning and data processing
data-science-stack
NVIDIA Data Science stack tools
dataset_synthesizer
NVIDIA Deep learning Dataset Synthesizer (NDDS)
dataset_utilities
NVIDIA Dataset Utilities (NVDU)
dcgm
NVIDIA Data Center GPU Manager (DCGM) is a project for gathering telemetry and measuring the health of NVIDIA GPUs
dcgm-exporter
NVIDIA GPU metrics exporter for Prometheus leveraging DCGM
debian-packaging-nvidia-driver
NVIDIA driver packaging for Debian (distro)
deep-learning-accelerator-sw
NVIDIA DLA-SW, the recipes and tools for running deep learning workloads on NVIDIA DLA cores for inference applications.
deeplearningexamples
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
deepops
Tools for building GPU clusters
deeprecommender
Deep learning for recommender systems
df-nvshmem-prototype
Prototype of OpenSHMEM for NVIDIA GPUs, developed as part of DoE Design Forward
dgx-selinux
DGX RHEL SELinux Policies
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.