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POT : Python Optimal Transport

Wassdistance ⭐ 153

Approximating Wasserstein distances with PyTorch

Awesome Molecular Docking ⭐ 81

We would like to maintain a list of resources which aim to solve molecular docking and other closely related tasks.

書籍『最適輸送の理論とアルゴリズム』のサポートページです。

PyTorch implementation of slicing adversarial network (SAN)

Event_representation_study ⭐ 21

Official PyTorch implementation of the ICCV 2023 paper: From Chaos Comes Order: Ordering Event Representations for Object Recognition and Detection.

"Towards Realistic Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah (ECCV 2022)

A Wasserstein Subsequence Kernel for Time Series.

Locally corrected Nyström (LCN), as proposed in "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, and More" (ICML 2021)

Machine Learning Summer Schools ⭐ 14

Curated materials for different machine learning related summer schools

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

Crossdomainfaultdiagnosis ⭐ 11

Repository containing the code for the experiments and examples of my Bachelor Thesis: Cross Domain Fault Detection through Optimal Transport

Functional Optimal Transport: Map Estimation and Domain Adaptation for Functional data

Wsingular ⭐ 8

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

Unsupervised Domain Adaptation for Acoustic Scene Classification with Wasserstein Distance

Conservation Laws Manifold Learning ⭐ 6

Discovering Conservation Laws using Optimal Transport and Manifold Learning

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

This repository contains the official implementation of the paper: MM-Align: Learning Optimal Transport-based Alignment Dynamics for Fast and Accurate Inference on Missing Modality Sequences (EMNLP 2022)

GroupMap: beyond mean and variance matching for deep learning

Official implementation of 'P$^2$OT: Progressive Partial Optimal Transport for Deep Imbalanced Clustering'. (Accepted by ICLR 2024)

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