Airt AI Docker container with all tools needed for AI projects including TensorFlow 2.1, Dask, Pandas, Numpy etc.
The docker image will be automatically build with each push and, if successful, be available in the container registry: https://gitlab.com/airt.ai/airt-docker-dask-tf2/container_registry
The easiest way to test the docker on your local machine is to clone the repository, login into contain repository and then start run_jupyter.sh script as follows:
$ git clone git@gitlab.com:airt.ai/airt-docker-dask-tf2.git
$ cd airt-docker-dask-tf2
$ docker login registry.gitlab.com
$ ./run_jupyter
and then open the link in the last line of the console output that should like something like this (token will be different):
[C 17:36:29.690 NotebookApp]
To access the notebook, open this file in a browser:
file:///root/.local/share/jupyter/runtime/nbserver-1-open.html
Or copy and paste one of these URLs:
http://4dea3c575d28:8888/?token=1d6707220903aa8e2b19b68c9d70dcaa62029fc3c1c98609
or http://127.0.0.1:8888/?token=1d6707220903aa8e2b19b68c9d70dcaa62029fc3c1c98609