earth-movers-distance
There are 21 repositories under earth-movers-distance topic.
wmayner/pyemd
Fast EMD for Python: a wrapper for Pele and Werman's C++ implementation of the Earth Mover's Distance metric
Colin97/MSN-Point-Cloud-Completion
Morphing and Sampling Network for Dense Point Cloud Completion (AAAI2020)
anguyen8/deepface-emd
Code for CVPR 2022 https://arxiv.org/abs/2112.04016 DeepFace-EMD Re-ranking Using Patch-wise Earth Movers Distance Improves Out-Of-Distribution Face Identification
baggepinnen/SpectralDistances.jl
Measure the distance between two spectra/signals using optimal transport and related metrics
krukah/robopoker
Play, learn, solve, and analyze No-Limit Texas Hold Em. Implementation follows from Monte Carlo counter-factual regret minimization over with hierarchical K-means imperfect recall abstractions.
nklb/wasserstein-distance
Compact Matlab code for the computation of the 1- and 2-Wasserstein distances in 1D
sparks-baird/mat_discover
A materials discovery algorithm geared towards exploring high-performance candidates in new chemical spaces.
bjin96/emd
An implementation of Squared Earth-Mover's Distance loss for Neural Networks.
rashad101/RoMe
PyTorch code for ACL 2022 paper: RoMe: A Robust Metric for Evaluating Natural Language Generation https://aclanthology.org/2022.acl-long.387/
stegua/dotlib
Dot Lib
snoels/earth-movers-graph-distance-metric
Earth-movers distance based graph distance metric for financial statements.
ankushbhatia2/Document_similarity_research_notebook
Jupyter notebook for my research in Document Similarity.
olsenlabmit/Polymer-Ensemble-Similarity
Calculating Pairwise Similarity of Polymer Ensembles via Earth Mover’s Distance
giorgiosavastano/pillars
Pillars is a library that contains fast algorithms for Python implemented in Rust.
alexaapo/Autoencoder-Dimensionality-Reduction
Autoencoder dimensionality reduction, EMD-Manhattan metrics comparison and classifier based clustering on MNIST dataset
davidtjones/PyTorchEMD
PyTorch Wrapper for Earth-Mover-Distance (EMD) for 3D point cloud regression
lazavgeridis/Comparing-Vector-Space-Representations-for-Images
Reducing MNIST image data dimensionality by extracting the latent space representations of an Autoencoder model. Comparing these latent space representations to the default MNIST representation
mar-kan/algorithm_project
3 part project: A. bottleneck autoencoder, B. manhattan distance, C. earth mover's distance
MediaBilly/Image-Similarity
Comparison of multiple methods for calculating MNIST hand-written digits similarity.
spyros-briakos/Autoencoder-Dimensionality-Reduction
Autoencoder dimensionality reduction, EMD-Manhattan metrics comparison and classifier based clustering on MNIST dataset.