aleable / modi Goto Github PK

MODI is an algorithm implementing a multicommodity optimal transport-based dynamics for image classification

Home Page: https://pypi.org/project/modi-flows/

License: MIT License

Python 19.53% Jupyter Notebook 80.47%

modi's Introduction

Welcome to my GitHub profile 🎉

I am Alessandro Lonardi, a PhD student at the Max Planck Institute for Intelligent Systems (Tübingen, Germany), working under the supervision of Dr. Caterina De Bacco in the Physics for Inference and Optimization group. Previous to that, I was a Master's student in Mathematical Engineering at University of Padova (Padua, Italy), where I also obtained my Bachelor's degree in Physics.

Everything you may be looking for can be found here:

🔗 aleable.github.io

To get in touch with me you can send an email to:

📫 [email protected]
📫 [email protected]

modi's People

Contributors

Stargazers

Watchers

Forkers

diegoabt

modi's Issues

Test from `dashboard`

Create a first test from dashboard

Automatic integration of README in ReadTheDocs

To build integration between GitHub and ReadTheDocs to avoid local actions when files are changed

Create new dist with python==3.9 as req

This might help with #30

Work on docstrings

This is needed to generate the documentation from ReadTheDocs

Build automatically using Github Actions

We need to configure this so the distributions get built automatically as new changes are merged from developer to main.

Remove nbimporter from pip distribution

This is no longer needed given that utils.py takes care of the aux functions used in the dashboard.

Create test file for dynamics

Create a script that checks that dynamics.py does what it should.

Create test workflow from `dashboard`

Create conda environment.yml

The test action is not running because the package can't be installed in the GH servers via pip. The problem is caused by scikit-umfpack. I think we can create a conda environment file to create a new env and then install umfpack from there.

Modify README's `umfpack`

Edit the README to mention that umfpack is no longer a requirement. modi-flows can be run without it, and if the user wants to have a faster solver, then they should install the previously mentioned package.

Change RTD repository from forked to original

Do this almost at last, once the docs are better developed.

Build `modi-flows` into conda

Make it installable from conda.

Broken link in ReadTheDocs

found broken link in bug-tracker in https://pypi.org/project/modi-flows/

Request full access to repo

Requesting access to the protected branches. It seems that I don't have it.

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