https://github.com/twsl/gupyter

Ready-to-run Docker images containing Jupyter applications with GPU support
https://github.com/twsl/gupyter

data-science docker gpu jupyter jupyter-notebook jupyterlab nvidia-cuda nvidia-docker

Last synced: about 1 month ago
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Ready-to-run Docker images containing Jupyter applications with GPU support

• Host: GitHub
• URL: https://github.com/twsl/gupyter
• Owner: twsl
• License: mit
• Created: 2021-01-03T14:48:24.000Z (about 4 years ago)
• Default Branch: main
• Last Pushed: 2021-05-26T11:24:24.000Z (over 3 years ago)
• Last Synced: 2024-11-10T04:38:41.899Z (3 months ago)
• Topics: data-science, docker, gpu, jupyter, jupyter-notebook, jupyterlab, nvidia-cuda, nvidia-docker
• Language: Jupyter Notebook
• Homepage:
• Size: 45.9 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
While this repository will continue to publish images, I personally switched to [ml-tooling](https://github.com/ml-tooling) and encourage you to do the same.

# gupyter

![Build](https://github.com/twsl/gupyter/workflows/Docker/badge.svg)

Docker images for jupyter with GPU support

Inspired by [gpu-jupyter](https://github.com/iot-salzburg/gpu-jupyter), simplified by directly replacing the root/base image.

Takes the official jupyter dockerfiles from the [docker-stacks](https://github.com/jupyter/docker-stacks) repository and builds the following images:

- [base-notebook](https://github.com/users/twsl/packages/container/package/gupyter/base-notebook)

- [minimal-notebook](https://github.com/users/twsl/packages/container/package/gupyter/minimal-notebook)

- [scipy-notebook](https://github.com/users/twsl/packages/container/package/gupyter/scipy-notebook)

GPU support is added via [nvidia/cuda](https://hub.docker.com/r/nvidia/cuda) images, defined by tags within the `strategy.json` file.