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Christoph Schranz 2020-03-10 16:35:23 +01:00
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![Jupyterlab Overview](/extra/jupyterlab-overview.png) ![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 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 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. 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 ## Contents
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## Issues and Contributing ## Issues and Contributing
* Please let us know by [filing a new issue](https://github.com/iot-salzburg/gpu-jupyter/issues/new) * 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/)