Inspecting GPUs with Julia

manylinux docker images with CUDA Toolkit

GeNN is a GPU-enhanced Neuronal Network simulation environment based on code generation for Nvidia CUDA.

GitHub Action to install CUDA

My solution for Hashcat not detecting NVIDIA GPU for hybrid graphics setup

主要适配avfilter中的scale_npp支持RGB24、BGR24格式，以减少CPU使用率。

AlphAI is a versatile Python toolkit for GPU profiling and analytics, supporting various tensor models. It enhances GPU server operations and serves as a client for American Data Science's notebook servers.

JetYOLO：Speed through your DeepStream app development, cleverly and creatively.

Compile OpenCV with NVIDIA GPU CUDA support under Ubuntu 22.04

Repositório do trabalho prático no âmbito da UC de Computação Paralela (CP) - Mestrado em Engenharia Informática (MEI/MIEI) - Universidade do Minho (UMinho)

Simple Click-and-Run Docker Image for Stable Diffusion WebUI

This repository conducts a comprehensive analysis of image denoising technique - median blur, comparing GPU-accelerated (Numba) and CPU-based (OpenCV) processing speeds. Using diverse images, the project applies median filtering to assess efficiency providing insights into the practical impacts of hardware acceleration in real-world applications

Realtime Monitor of Nvidia GPU Metrics with NVML Library

Learn cuda step-by-step starting from 0 with these simple and free code examples (comments are provided!)

On-demand transcoding origin server for live inputs and static files in Go using ffmpeg. Also with NVIDIA GPU hardware acceleration.

A guide on using NVidia GPUs for transcoding or AI in Kubernetes

In Production and AI based service for human face detection. Uses most advanced and popular technologies to efficiently detect face identity. System runs locally and need strong Graphic card for best performance

The docker image that can run pytorch and jupyterlab