Hello_User/gpu-jupyter
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Christoph Schranz 2020-03-10 16:35:23 +01:00
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![Jupyterlab Overview](/extra/jupyterlab-overview.png)
First of all, thanks to [hub.docker.com/u/jupyter](https://hub.docker.com/u/jupyter)
First of all, thanks to [docker-stacks](https://github.com/jupyter/docker-stacks)
for creating and maintaining a robost Python, R and Julia toolstack for Data Analytics/Science
applications. This project uses the NVIDIA CUDA image as a basis image and installs their
toolstack on top of it to enable GPU calculations in the Jupyter notebooks.
The image of this repository is available on [Dockerhub](https://hub.docker.com/repository/docker/cschranz/gpu-jupyter).
The image of this repository is available on [Dockerhub](https://hub.docker.com/r/cschranz/gpu-jupyter).
## Contents
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## Issues and Contributing
* Please let us know by [filing a new issue](https://github.com/iot-salzburg/gpu-jupyter/issues/new)
* You can contribute by opening a [pull request](https://help.github.com/articles/using-pull-requests/)
* You can contribute by opening a [pull request](https://help.github.com/articles/using-pull-requests/)