Build and run Docker containers leveraging NVIDIA GPUs
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Updated
Mar 17, 2023 - Makefile
Build and run Docker containers leveraging NVIDIA GPUs
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。
GPU-ready Dockerfile to run Stability.AI stable-diffusion model v2 with a simple web interface. Includes multi-GPUs support.
Simple wrapper for docker-compose to use GPU enabled docker under nvidia-docker
Tensorflow in Docker on Mesos #tfmesos #tensorflow #mesos
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.
A dockerized version of neural style transfer algorithms
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.
Docker environment for fast.ai Deep Learning Course 1 at http://course.fast.ai
AI開発プラットフォームKAMONOHASHI
A tool for running deep learning algorithms for semantic segmentation with satellite imagery
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
Cloud based, GPU accelerated Simulated Annealing
Create a GPU instance on GCP with Jupyter + Keras(Tensorflow) + Nvidia Docker
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."