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Leeds Institute for Fluid Dynamics Machine Learning For Earth Sciences

Auto Encoders

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Recommended Background Reading

Quick look

If you want a quick look at the contents inside the notebook before deciding to run it please view the md file generated (note some HTML code not fully rendered)

Quick start

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 [email protected]:cemac/LIFD_TorchAutoEncoders.git
cd LIFD_TorchAutoEncoders
conda env create -f AE.yml
conda activate AE
jupyter-notebook

Installation and Requirements

This notebook is designed to run on a laptop with no special hardware required therefore recommended to do a local installation as outlined in the repository howtorun and jupyter_notebooks sections.

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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Jupyter Notebooks Tutorials on Auto Encoders for CDT

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