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gradient_descent_tutorial

Gradient descent tutorial

graph-optimal-transport

Code for ICML 2020 "Graph Optimal Transport for Cross-Domain Alignment"

graphicalmodels-mrf_inference_bounds

Research project under supervision of prof. Amir Globerson (Tel Aviv University) on Markov Random Field Inference Bounds

gromov-wasserstein-lower-bounds

Numpy based implementation of the lower bounds for the Gromov-Wasserstein distance.

gromov-wasserstein-statistics

Statistics on the space of asymmetric networks via Gromov-Wasserstein distance

group_sparcity

using L2,1 norm base one tensorflow

groupot

Group optimal transport by clustering and coupling

gru-protein-analysis

Semester Project for the Deep Learning 2020 Lecture at ETH Zürich

gsw

gt-mb-mf

Deep Learning @ ETH Zurich, 2020 Autumn

gtda-challenge-2020

This is the repo for the Giotto-tda use-cases challenge 2020.

gtfd

Ground Truth Free Denoising by Optimal Transport

handong1587.github.io

hidden_dtw

hierarchical_optimal_transport

Reproducing NeurIPS2019: Hierarchical optimal transport for document representation

histogrambasedsegmentation

Python Implementation of "Convex Histogram-Based Joint Image Segmentation with Regularized Optimal Transport Cost"

hiyajo-ot

Optimal transport of waifus

hott_nlp_ensae

This repo contains an application of the Hierarchical Optimal Topic Transport metric inspired from Hierarchical Optimal Transport for Document Representation Hierarchical Optimal Transport for Document Representation by Mikhail Yurochkin and Sebastian Claici and Edward Chien and Farzaneh Mirzazadeh and Justin Solomon, 2019

humboldt-2020

Two invited online lectures on optimal transport and quantile regression

hw-for-stats216

Stats 216 homework responses

hyperbolic_alignment

This repo contains a base implementation for aligning hyperbolic representations using an Optimal Transport-based approach.

image-classification

image-segmentation

imagecolorization

Academic project as part of the "Introduction à l'imagerie numérique" course at ENS Paris-Saclay.

img_histogram_with_optimal_transport_thoery

iml-project

Project tasks for the course "Introduction to Machine Learning" given at ETH Zurich during the spring semester 2020

iml_trinity_project

Project tasks for the Introduction to Machine Learning course at ETH Zurich

imperial-lectures

CFM-Imperial lectures on “Optimal transport and applications to economics, statistics and finance”

info8010-deep-learning

Lectures for INFO8010 - Deep Learning, ULiège

interactive_ot

Code for interactive visualization of optimal transport under mode imbalance