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wasserstein-distance

Here are 64 public repositories matching this topic...

jwwangchn / NWD

Official code for "A Normalized Gaussian Wasserstein Distance for Tiny Object Detection"

computer-vision object-detection wasserstein-distance aerial-images

Updated Jun 21, 2022
Python

JokerJohn / MS-Mapping

[ICRA@40] MS-Mapping: An Uncertainty-Aware Large-Scale Multi-Session LiDAR Mapping System

mapping keyframe lidar gmm uncertainty-estimation uncertainty-propagation gtsam pose-graph-optimization multi-session wasserstein-distance lidar-slam lidar-mapping large-scale-mapping

Updated Aug 16, 2024

JuliaOptimalTransport / OptimalTransport.jl

Optimal transport algorithms for Julia

optimization julia wasserstein optimal-transport wasserstein-distance optimal-transport-algorithms sinkhorn-algorithm scaling-algorithms

Updated Jul 6, 2024
Julia

sony / san

PyTorch implementation of slicing adversarial network (SAN)

machine-learning pytorch gan generative-model optimal-transport deep-generative-model sliced-wasserstein-distance wasserstein-distance

Updated Jun 13, 2024
Python

Jiacheng-Zhu-AIML / WGPOT

The Wasserstein Distance and Optimal Transport Map of Gaussian Processes

python machine-learning gaussian stats transfer-learning wasserstein-barycenters wasserstein optimal-transport ot-mapping-estimation domain-adaptation guassian-processes nonparametric-statistics wasserstein-distance

Updated Aug 3, 2020
Python

baggepinnen / SpectralDistances.jl

Measure the distance between two spectra/signals using optimal transport and related metrics

spectrum metrics histogram linear-systems dynamic-time-warping spectral-analysis optimal-transport barycentric-coordinates earth-movers-distance spectral-embedding riemannian-manifold wasserstein-distance dynamic-frequency-warping barycenter

Updated Jan 3, 2023
Julia

sparks-baird / mat_discover

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

python machine-learning pytorch materials-science materials-informatics numba bayesian-optimization wasserstein earth-movers-distance materials-screening materials-discoveries adaptive-design wasserstein-metric earth-mover-distance wasserstein-distance crabnet predict-materials-properties materials-discovery materials-project matdiscover

Updated Aug 20, 2024
Python

francoispierrepaty / SubspaceRobustWasserstein

Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"

pca-analysis pca dimensionality-reduction wasserstein optimal-transport wasserstein-barycenter wasserstein-discriminant-analysis wasserstein-metric wasserstein-distance subspace-robust-wasserstein

Updated Jun 14, 2019
Jupyter Notebook

Jiacheng-Zhu-AIML / FOT

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

python machine-learning time-series statistical-learning transfer-learning functional-data-analysis gaussian-processes optimal-transport ot-mapping-estimation wasserstein-distance

Updated Jun 7, 2021
Python

TakaraResearch / Pytorch-1D-Wasserstein-Statistical-Loss

1D Wasserstein Statistical Loss in Pytorch

pytorch statistical-distributions wasserstein-distance wasserstein-loss statistical-loss

Updated Jun 9, 2020
Python

gabsens / Learning-Embeddings-into-Entropic-Wasserstein-Spaces-ENSAE

A thorough review of the paper "Learning Embeddings into Entropic Wasserstein Spaces" by Frogner et al. Includes a reproduction of the results on word embeddings.

word-embeddings pytorch optimal-transport ensae sinkhorn wasserstein-distance

Updated Jan 31, 2020
Jupyter Notebook

tuanrpt / MOST

Multi-Source Domain Adaptation via Optimal Transport for Student-Teacher Learning - UAI 2021

deep-learning transfer-learning imitation-learning optimal-transport domain-adaptation wasserstein-distance multi-source-domain-adaptation learning-with-limited-labeled-data uai2021

Updated Dec 9, 2021
Python

shantanu1109 / Coursera-DeepLearning.AI-GANs-Specialization

This Repository Contains Solution to the Assignments of the Generative Adversarial Networks (GANs) Specialization from deeplearning.ai on Coursera Taught by Sharon Zhou, Eda Zhou, Eric Zelikman

generator pytorch discriminator generative-adversarial-network batch-normalization dcgan unet pix2pix wgan srgan inception-v3 cyclegan conditional-gan sngan stylegan wasserstein-distance frechet-inception-distance gaugan patchgan

Updated Mar 16, 2023
Jupyter Notebook

peterparity / conservation-laws-manifold-learning

Discovering Conservation Laws using Optimal Transport and Manifold Learning

machine-learning physics chaos conservation-laws diffusion-maps manifold-learning optimal-transport jax laplacian-eigenmaps integrable-systems wasserstein-distance

Updated Sep 23, 2023
Jupyter Notebook

tuanrpt / LAMDA

LAMDA: Label Matching Deep Domain Adaptation - ICML 2021

optimal-transport domain-adaptation unsupervised-domain-adaptation wasserstein-distance label-shift domain-shift icml-2021

Updated Oct 28, 2021
Python

gnardari / wasserstein

Header only C++ implementation of the Wasserstein distance (or earth mover's distance)

earth-mover-distance wasserstein-distance

Updated Nov 13, 2020
C++

dr-costas / undaw

Unsupervised Domain Adaptation for Acoustic Scene Classification with Wasserstein Distance

machine-learning deep-learning pytorch unsupervised-learning audio-signal-processing optimal-transport unsupervised-machine-learning domain-adaptation wasserstein-gan machine-listening adversarial-training unsupervised-domain-adaptation acoustic-scene-classification wasserstein-distance

Updated Sep 16, 2020
Python

mtsch / PersistenceDiagrams.jl

Persistence Diagrams in Julia

persistent-homology persistence-diagrams bottleneck-distance wasserstein-distance

Updated Nov 6, 2023
Julia

topolearn / topo-clustering

Fast Topological Clustering with Wasserstein Distance (ICLR 2022)

complex-networks cluster-analysis wasserstein-barycenter persistent-homology topological-data-analysis wasserstein-distance topological-clustering network-representation

Updated Jun 24, 2022
Python

hiroyuki-kasai / SSPW-kmeans

Sparse simplex projection-based Wasserstein k-means

clustering k-means wasserstein optimal-transport k-means-clustering wasserstein-distance sinkhorn-algorithm

Updated Jun 10, 2021
MATLAB

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