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An opinionated Docker image for Data Science and Deep Learning in Python.

License: MIT License

Shell 53.88% Makefile 15.98% Dockerfile 30.13%

deep-learning-docker's Introduction

PyDS Docker

Latest Tag Image Size

An opinionated Python-based Docker image for data science and deep learning in bioinformatics. The image is based on the NVIDIA PyTorch Docker image, and runs Ubuntu 22.04 and Python 3.10.12. Currently only AMD64 architectures are supported.

The following Python packages are included:

  • numpy
  • scipy
  • pandas
  • sklearn
  • torch
  • matplotlib
  • scanpy

Usage

To build from this image use the following as the first line of your Dockerfile:

FROM ghcr.io/donertas-group/pyds-docker:latest
...

Build & Push to GHCR

The preferred way of building the image is manually. Set an appropriate TAG in the Makefile and do:

# Build and push images
make all

Pushing to GHCR requires a login, which can be achieved via a Github Token, see the Github docs for token creation. Once created do

export CR_PAT=YOUR_TOKEN
echo $CR_PAT | docker login ghcr.io -u USERNAME --password-stdin

Contact

Mark Olenik [email protected]

deep-learning-docker's People

Contributors

markolenik avatar ruth-seven avatar

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