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POT : Python Optimal Transport

Generative Models ⭐ 414

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

Mat_discover ⭐ 27

A materials discovery algorithm geared towards exploring high-performance candidates in new chemical spaces.

Wasserstein_inverse_problems ⭐ 18

Code for the article "Learning to solve inverse problems using Wasserstein loss"

FML (Francis' Machine-Learnin' Library) - A collection of utilities for machine learning tasks

Wsingular ⭐ 8

Python package for the ICML 2022 paper "Unsupervised Ground Metric Learning Using Wasserstein Singular Vectors".

Improving word mover’s distance by leveraging self-attention matrix

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