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Leeds Institute for Fluid Dynamics Machine Learning For Earth Sciences

Auto Encoders

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Installation and Requirements

This tutorial is designed to be run on the Leeds GPU machines following the howtorun instructions.

Running Locally

If you're already familiar with git, anaconda and virtual environments the environment you need to create is found in AE.yml and the code below to install activate and launch the notebook. The .yml file has been tested on the latest linux, macOS and windows operating systems.

git clone git@github.com:cemac/LIFD_TorchAutoEncoders.git
cd LIFD_TorchAutoEncoders
conda env create -f AE.yml
conda activate AE
jupyter-notebook

Licence information

Creative Commons License
LIFD_CDT_ML_NOTEBOOKS by cemac is licensed under a Creative Commons Attribution 4.0 International License.

Acknowledgements

This notebook was developed by Arash Rabbani

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