https://github.com/payalord/tf-jupyterlab
Docker container with tensorflow and jupyterlab
https://github.com/payalord/tf-jupyterlab
jupyterlab tensorflow
Last synced: 10 months ago
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Docker container with tensorflow and jupyterlab
- Host: GitHub
- URL: https://github.com/payalord/tf-jupyterlab
- Owner: payalord
- Created: 2022-11-01T06:39:09.000Z (over 3 years ago)
- Default Branch: master
- Last Pushed: 2022-11-01T17:13:29.000Z (over 3 years ago)
- Last Synced: 2025-03-12T04:45:42.864Z (over 1 year ago)
- Topics: jupyterlab, tensorflow
- Language: Dockerfile
- Homepage: https://hub.docker.com/r/payalord/tf-jupyterlab
- Size: 2.93 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Tensorflow JupyterLab
This repo is a docker compose setup of Tensorflow with JupyterLab. Tensorflow has been built with https://github.com/payalord/tf-docker and this project uses already compiled `*.whl` files from `tf-docker` project repo release. But in case if you'll need to compile TF yourself, please check `tf-docker` repo for more details.
## What's in the box?
* Tensorflow v2.11.0-rc1
* Tensorflow Addons v0.18.0
* Jupyter Lab
* Python 3 with next additional libraries pre-installed for you:
* numpy
* matplotlib
* pandas
* sklearn
PDF export support has been fixed by installing necessary libraries.
Still, not all export functions work in JupyterLab.
## Working directory
Directory `jupyterlab` will be mounted into the container `/jupyterlab` and will be set to use as working directory for Jupyter Lab.
## Build or Re-build
You can run docker compose command to build or re-build image: `docker compose build`
## Start a container
`docker-compose up`
## JupyterLab
After container is started, you will see a URL link in the console: `http://127.0.0.1:8888/lab`
This is the link you need to navigate to, in your browser, to start your work with JupyterLab.