Dockerfiles for setting up GPUs with NVIDIA CUDA and other machine intelligence packages
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Updated
Dec 13, 2016 - Shell
Dockerfiles for setting up GPUs with NVIDIA CUDA and other machine intelligence packages
Github Actions Runner for training classifiers with CUDA acceleration using nvidia-docker and tensorflow core
Containerized development workflow for the NorLab_MPPI and SNOW_AutoRally projects leveraging nvidia-docker technology. Believe it or not, it's configured for developing with ROS melodic in python 3.6.
Docker image for running Udacity Self-driving code
This repository is a one stop documentation for the tensorrt framework provided by NVIDIA. This repository contains every details starting from installation of tensorrt to deployment of model using Tensorrt.
An all-in-one mirror for installing NVIDIA Docker.
Simple Deep Learning setup for running TensorFlow on Google Cloud GPU machines. It uses prepackaged Docker container maintained by Google for setting up TensorFlow.
A docker container for ccminer
Docker image for running Udacity Deep Learning projects
Docker image of Claymore GPU miner
Sample YAML file for setting up the NVIDIA driver and NVIDIA device plugin for better scheduling
This repository contains the runpod serverless component of the SDGP project "quizzifyme"
A documentation explaining how you can install Docker Nvidia on your offline network to benefit the power of your GPU in your containers.
How to copile OPENCV to use CUDA within a DOCKER image
Incubator and playground for all things that interest me.
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