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ChristophSchranz authored Dec 16, 2023
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# GPU-Jupyter
#### Leverage Jupyter Notebooks with the power of your NVIDIA GPU and perform GPU calculations using Tensorflow and Pytorch in collaborative notebooks.

![Github Workflow](https://github.com/iot-salzburg/gpu-jupyter/actions/workflows/default.yml/badge.svg)
[![Docker Pulls](https://badgen.net/docker/pulls/cschranz/gpu-jupyter?icon=docker&label=Pulls)](https://hub.docker.com/r/cschranz/gpu-jupyter)
[![Docker Stars](https://badgen.net/docker/stars/cschranz/gpu-jupyter?icon=docker&label=Stars)](https://hub.docker.com/r/cschranz/gpu-jupyter)
[![Maintenance](https://img.shields.io/badge/Maintained%3F-yes-green.svg)](https://github.com/Naereen/StrapDown.js/graphs/commit-activity)

![Jupyterlab Overview](https://raw.githubusercontent.com/iot-salzburg/gpu-jupyter/master/extra/jupyterlab-overview.png)

Welcome to this project, which provides a **GPU-capable environment** based on NVIDIA's CUDA Docker image and the popular [docker-stacks](https://github.com/jupyter/docker-stacks).
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