skolouri

Soheil Kolouri's repositories

swae

Implementation of the Sliced Wasserstein Autoencoders

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swgmm

Sliced Wasserstein Distance for Learning Gaussian Mixture Models

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Radon-Cumulative-Distribution-Transform

Radon Cumulative Distribution Transform

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Cumulative-Distribution-Transform

Cumulative Distribution Transform

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TopoTrans

TopoTrans: Optimal Transport meets Topological Data Analysis

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Linear_Wasserstein_Embedding

The Linear Optimal Transport Framework

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optimaltransport

Optimal transport transforms

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Ashkan13776.github.io

A beautiful, simple, clean, and responsive Jekyll theme for academics

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BAMC2019

These slides were presented in BAMC 2019

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explain_graphs

Code for "Explainability methods for graph convolutional neural networks" - PE Pope*, S Kolouri*, M Rostami, CE Martin, H Hoffmann (CVPR 2019)

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gym

A toolkit for developing and comparing reinforcement learning algorithms.

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jaccardSegment

Deeplab-resnet-101 in Pytorch with Jaccard loss

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prototypical-networks-tensorflow

Tensorflow implementation of NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

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pycpd

Pure Numpy Implementation of the Coherent Point Drift Algorithm

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pytorch-magnet-loss

PyTorch implementation of "Metric Learning with Adaptive Density Discrimination"

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set_transformer

Pytorch implementation of set transformer

Language:Jupyter NotebookMIT010

skolouri.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

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wegl

The project webpage for Wasserstein Embedding for Graph Learning (WEGL)

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