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David Alvarez-Melis's repositories

Gromov-Wasserstein Alignment of Embeddings

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Doubly-recurrent neural networks

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Self-Explaining Neural Networks

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Tools for robustness evaluation in interpretability methods

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Machine Learning Interpretability based on the Weight-of-Evidence

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Personal Website

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Geometric loss functions between point clouds, images and volumes

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Research code for auditing and exploring black box machine-learning models.

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Pytorch implementations of density estimation algorithms: Glow, MAF, RealNVP, planar flows

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Python Optimal Transport library

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PyTorch Lighning wrapper to make training ResNet classifiers easier.

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Recurrent Neural Network library for Torch7's nn

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scikit-learn: machine learning in Python

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Theano code for experiments in the paper "A Hybrid Convolutional Variational Autoencoder for Text Generation."

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