https://github.com/subpic/jupyter-data-science

Jupyter-Lab based setup for data science (Conda, TF2, XGBoost GPU)
https://github.com/subpic/jupyter-data-science

dockerfile jupyter-kernels keras-tensorflow xgboost-python

Last synced: 30 days ago
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Jupyter-Lab based setup for data science (Conda, TF2, XGBoost GPU)

• Host: GitHub
• URL: https://github.com/subpic/jupyter-data-science
• Owner: subpic
• License: mit
• Created: 2019-10-21T11:43:27.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2021-02-26T15:32:32.000Z (almost 4 years ago)
• Last Synced: 2023-09-07T11:32:22.644Z (over 1 year ago)
• Topics: dockerfile, jupyter-kernels, keras-tensorflow, xgboost-python
• Language: Dockerfile
• Homepage:
• Size: 10.7 KB
• Stars: 0
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
## Build

```

docker build -f Dockerfile -t jupyter-dl .

```

## Execute

```

nvidia-docker run -v $PWD:/mnt/home/ -p 8888:8888 -p 6006:6006 jupyter-dl

```

Note: The entrypoint script accepts Jupyter-Lab arguments

```

e.g. nvidia-docker run -v $PWD:/mnt/home/ -p 8888:8888 -p 6006:6006 jupyter-dl --notebook-dir=/mnt/home

```