Create a GPU instance on GCP with Jupyter + Keras(Tensorflow) + Nvidia Docker
-
Updated
Mar 25, 2018 - Shell
Create a GPU instance on GCP with Jupyter + Keras(Tensorflow) + Nvidia Docker
Vosk ASR Docker images with GPU for Jetson boards, PCs, M1 laptops and GPC
Tutorials on running distributed deep learning on Batch AI
🐋🐋 Multi architecture Isaac ROS for NVIDIA Jetson and x86 - CI based
My custom Image for Quick setup of Deep Learning Libraries in Python on any machine.
Script to check ONNX model compatibility against TensorRT versions using docker images
Gentoo ebuilds of the https://github.com/NVIDIA/nvidia-docker
Install script for mxnet
Dockerfile for deep learning on GPUs
Some useful scripts to install common softwares
🍏 This template repository is made for build your personal Isaac ROS container
A lightweight docker container for the SheepIt! render farm with WebUI with CUDA support
Docker with opencv with cuda support for nvidia jetson platforms.
Personal wiki for public.
Setup a Google cloud deep learning server with gpu-ready docker container to run Tensorflow from local browser using Jupyter
🐳 Docker images for ROS on NVIDIA Jetson
pyhf Docker images built on Nvidia Container Toolkit enabled base images
Easily Bootstrap an AI/Data Science/Deep Learning DevBox for Ubuntu Desktop 18.04 LTS
This is a quick shell script file to set up with NVIDIA GPUs on Google Cloud Platform VM.
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."