Build and run Docker containers leveraging NVIDIA GPUs
-
Updated
Dec 6, 2023
Build and run Docker containers leveraging NVIDIA GPUs
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
Grokking Deep Reinforcement Learning
基于PaddlePaddle实现的语音识别,中文语音识别。项目完善,识别效果好。支持Windows,Linux下训练和预测,支持Nvidia Jetson开发板预测。
🔥🔥🔥🔥🔥🔥Docker NVIDIA Docker2 YOLOV5 YOLOX YOLO Deepsort TensorRT ROS Deepstream Jetson Nano TX2 NX for High-performance deployment(高性能部署)
KDE Plasma Desktop container designed for Kubernetes supporting OpenGL GLX and Vulkan for NVIDIA GPUs with WebRTC and HTML5, providing an open-source remote cloud graphics or game streaming platform. Spawns its own fully isolated X Server instead of using the host X server, not requiring /tmp/.X11-unix host sockets or host configuration.
⚡ Useful scripts when using TensorRT
Tensorflow in Docker on Mesos #tfmesos #tensorflow #mesos
KDE Plasma Desktop container designed for Kubernetes with direct access to the GPU with EGL using VirtualGL and Vulkan for GPUs with WebRTC and HTML5, providing an open-source remote cloud graphics or game streaming platform. Does not require /tmp/.X11-unix host sockets or host configuration.
GPU-ready Dockerfile to run Stability.AI stable-diffusion model v2 with a simple web interface. Includes multi-GPUs support.
Docker environment for fast.ai Deep Learning Course 1 at http://course.fast.ai
A dockerized version of neural style transfer algorithms
Simple wrapper for docker-compose to use GPU enabled docker under nvidia-docker
Workflow that shows how to train neural networks on EC2 instances with GPU support and compares training times to CPUs
点云深度学习框架 | Point cloud Deep learning Framework
A tool for running deep learning algorithms for semantic segmentation with satellite imagery
CUDA capable docker image of nheqminer (zcash/equihash miner)
Yet another NVIDIA driver container for Container Linux (aka CoreOS)
lc0docker: run lc0 chess client and lichess bot under Docker and Kubernetes
Add a description, image, and links to the nvidia-docker topic page so that developers can more easily learn about it.
To associate your repository with the nvidia-docker topic, visit your repo's landing page and select "manage topics."