nvidia

System utility designed to provide information, control the fans and overclock your NVIDIA card

OBS Studio source plugin for NVIDIA FBC API

PHP-CUDA extension PHP extension with CUDA functions PHP CUDA C-extension.

Adding support of executing cuBin modules and kernels on NVIDIA CUDA GPU cards in PHP code.

Enables execution of generated cuBin file on GPU card and processing response.

Part of OpenSource project GPUPowered.com which has goal to optimize execution of PHP code as fast as possible.

This bash script will install Xorg and the Nvidia drivers (LTS & regular) for Arch Linux, and will notify the user if any error is encountered.

Task Manager for Linux for Nvidia graphics cards

Mirrored from https://github.com/congard/nvidia-system-monitor-qt

Fedora Host NVIDIA GPU Passthrough with QEMU

This repository provides Shinobi Docker images regulary built from the official Shinobi Docker image repository and microservice Shinobi Docker images.

Plasma 5 applet to switch your integrated or discrete nvidia graphic card using prime-select from Canonical.

Home to my python playground

A collection of python and shell scripts to fix various known issues on NVIDIA based Linux desktop PC/Notebooks using the NVIDIA blob driver.

Post-installation de Linux Ubuntu et Mint sur un Asus ROG GL702VMK : problèmes et solutions.

Linux Ubuntu and Mint post-setup on an Asus ROG GL702VMK : problems and solutions - in French.

Minimalistic Docker image with FFmpeg and support for hardware acceleration based on archlinux.

You can install the latest build of this image by running docker pull migoller/ffmpeg.

Fan control GUI for Nvidia propietary drivers.

DVC Toggler for Linux

A collection of awesome algorithms, implemented in CUDA.

Docker-Project: This project is used to generate a docker image containing a basic ROS setup to develop on any host PC you want. For hardware accelleration the nvidia-docker package is used.

Docker-Project: This project is used to generate a docker image containing ROS and a full MoveIt! installation. This project is depending on the ros-nvidia-base project. For hardware accelleration the nvidia-docker package is used.