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adding contribution section

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Christoph Schranz 2020-02-23 12:25:33 +01:00
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README.md
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@ -12,9 +12,10 @@ toolstack on top of it to enable GPU calculations in the Jupyter notebooks.
1. [Requirements](#requirements) 1. [Requirements](#requirements)
2. [Quickstart](#quickstart) 2. [Quickstart](#quickstart)
2. [Tracing](#tracing) 3. [Tracing](#tracing)
3. [Deployment](#deployment-in-the-docker-swarm) 4. [Deployment](#deployment-in-the-docker-swarm)
4. [Configuration](#configuration) 5. [Configuration](#configuration)
6. [Issues and Contributing](#issues-and-contributing)
## Requirements ## Requirements
@ -24,11 +25,14 @@ toolstack on top of it to enable GPU calculations in the Jupyter notebooks.
2. A NVIDIA GPU 2. A NVIDIA GPU
3. Get access to use your GPU via the CUDA drivers, check out this 3. Get access to use your GPU via the CUDA drivers, check out this
[medium article](https://medium.com/@christoph.schranz/set-up-your-own-gpu-based-jupyterlab-e0d45fcacf43). [medium article](https://medium.com/@christoph.schranz/set-up-your-own-gpu-based-jupyterlab-e0d45fcacf43).
4. Clone the Repository: The CUDA toolkit is not required on the host system, as it will be deployed
```bash in [NVIDIA-docker](https://github.com/NVIDIA/nvidia-docker).
git clone https://github.com/iot-salzburg/gpu-jupyter.git 4. Clone the Repository or pull the image from
cd gpu-jupyter [Dockerhub](https://hub.docker.com/repository/docker/cschranz/gpu-jupyter):
``` ```bash
git clone https://github.com/iot-salzburg/gpu-jupyter.git
cd gpu-jupyter
```
## Quickstart ## Quickstart
@ -166,3 +170,9 @@ Then update the config file as shown below and restart the service.
} }
} }
``` ```
## 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/)