Build and run Docker containers leveraging NVIDIA GPUs
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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)
GPU-ready Dockerfile to run Stability.AI stable-diffusion model v2 with a simple web interface. Includes multi-GPUs support.
KDE Plasma Desktop container designed for Kubernetes, supporting OpenGL EGL and GLX, Vulkan, and Wine/Proton for NVIDIA GPUs through WebRTC and HTML5, providing an open-source remote cloud/HPC graphics or game streaming platform.
KDE Plasma Desktop container designed for Kubernetes, supporting OpenGL EGL and GLX, Vulkan, and Wine/Proton for NVIDIA GPUs through WebRTC and HTML5, providing an open-source remote cloud/HPC graphics or game streaming platform.
⚡ Useful scripts when using TensorRT
Simple wrapper for docker-compose to use GPU enabled docker under nvidia-docker
Tensorflow in Docker on Mesos #tfmesos #tensorflow #mesos
A dockerized version of neural style transfer algorithms
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
A shim driver allows in-docker nvidia-smi showing correct process list without modify anything
点云深度学习框架 | Point cloud Deep learning Framework
Workflow that shows how to train neural networks on EC2 instances with GPU support and compares training times to CPUs
Handbrake GUI with Web browser and VNC access. Supports NVENC encoding
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