GitHub Repo: https://github.com/heliumplusdatastage/jupyter-pytorch-extension.git
| image | description | size | metrics | build status |
|---|---|---|---|---|
| rstudio-server | Adds rstudio | |||
| autoencoder-demo | Adds jupyter notebook with auto encoder code and copdgene data | |||
| tensorflow-pytorch-ext | Adds jupyter notebook with tensorflow and pytorch |
To start the standalone notebook, use docker run -i <container-name> or, docker run -i heliumdatastage/tensorflow-pytorch-ext:<tagname>.
This will give you the authentication token to log into the jupyternotebook running at http://localhost:8888.
Alternatively to get the authentication token, use the command docker run -d -p 8888:8888 <container-name> (for example, docker run -d -p 8888:8888 heliumdatastage/tensorflow-pytorch-ext:<tagname>) followed by docker ps -a to get the container- ID. Once you have the container ID, you will be able to access the authentication token by running docker exec -t -i <container-id> /bin/bash which will launch the notebook shell. Once inside the notebook shell, type jupyter notebook list to get the token.
Use this token to log in to your jupyter notebook running at http://localhost:8888.
Content type
Image
Digest
Size
4.1 GB
Last updated
over 7 years ago
docker pull heliumdatastage/tensorflow-pytorch-ext