earth-movers-distance

There are 0 repository 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
cython distance earth-movers-distance emd image-processing mathematics metric python scientific-computing
Language:C++ 473
Colin97 / MSN-Point-Cloud-Completion
Morphing and Sampling Network for Dense Point Cloud Completion (AAAI2020)
point-cloud shape-completion 3d-reconstruction earth-movers-distance earth-mover-distance point-cloud-completion point-cloud-processing minimum-spanning-tree cuda auction-algorithm
Language:Python 382
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
computer-vision face-identification earth-movers-distance deep-learning
Language:Python 53
baggepinnen / SpectralDistances.jl
Measure the distance between two spectra/signals using optimal transport and related metrics
spectrum spectral-embedding spectral-analysis linear-systems wasserstein-distance optimal-transport dynamic-frequency-warping riemannian-manifold metrics histogram earth-movers-distance barycenter barycentric-coordinates dynamic-time-warping
Language:Julia 45
sparks-baird / mat_discover
A materials discovery algorithm geared towards exploring high-performance candidates in new chemical spaces.
materials-discovery machine-learning materials-science materials-screening materials-informatics pytorch numba predict-materials-properties crabnet wasserstein-distance wasserstein-metric wasserstein earth-movers-distance earth-mover-distance materials-discoveries materials-project adaptive-design bayesian-optimization matdiscover python
Language:Python 35
nklb / wasserstein-distance
Compact Matlab code for the computation of the 1- and 2-Wasserstein distances in 1D
earth-movers-distance matlab mit-license optimal-transport statistics wasserstein-metric
Language:MATLAB 32
MilesGrey / emd
An implementation of Squared Earth-Mover's Distance loss for Neural Networks.
neural-networks earth-movers-distance loss-functions deep-learning
Language:Python 14
rashad101 / RoMe
PyTorch code for ACL 2022 paper: RoMe: A Robust Metric for Evaluating Natural Language Generation https://aclanthology.org/2022.acl-long.387/
deep-learning distance-calculation earth-movers-distance edit evaluation-metrics natural-language-generation nlg nlg-dataset nlg-evaluation nlp ted tree tree-edit-distance
Language:Python 9
stegua / dotlib
Dot Lib
wasserstein cpp11 python optimal-transport earth-movers-distance
Language:C++ 7
snoels / earth-movers-graph-distance-metric
Earth-movers distance based graph distance metric for financial statements.
graph-distance-metric financial-statement-similarity company-benchmarking earth-movers-distance
Language:Jupyter Notebook 5
ankushbhatia2 / Document_similarity_research_notebook
Jupyter notebook for my research in Document Similarity.
natural-language-processing jupyter-notebook python latent-dirichlet-allocation earth-movers-distance doc2vec
Language:Jupyter Notebook 4
BerensF / ComparingProteins
gromov-wasserstein earth-movers-distance 3d-comparing protein-clustering emd
Language:C++ 3
giorgiosavastano / pillars
Pillars is a library that contains fast algorithms for Python implemented in Rust.
algorithms earth-movers-distance rust
Language:Rust 2
alexaapo / Autoencoder-Dimensionality-Reduction
Autoencoder dimensionality reduction, EMD-Manhattan metrics comparison and classifier based clustering on MNIST dataset
mnist-dataset clustering dimension-reduction earth-movers-distance manhattan-distance bottleneck lsh approximate-nearest-neighbor-search brute-force-search pyhton cpp
Language:C++ 1
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
earth-movers-distance mnist autoencoder clustering nearest-neighbors keras
Language:C++ 1
mar-kan / algorithm_project
3 part project: A. bottleneck autoencoder, B. manhattan distance, C. earth mover's distance
algorithms neural-network autoencoder bottleneck tensorflow manhattan-distance earth-movers-distance
Language:C++ 1
MediaBilly / Image-Similarity
Comparison of multiple methods for calculating MNIST hand-written digits similarity.
neural-networks machine-learning data-science image-similarity image-classification mnist-dataset linear-programming earth-movers-distance clustering nearest-neighbor-search lsh hypercube dimensionality-reduction autoencoder autoencoder-neural-network autoencoder-classification
Language:C++ 1
olsenlabmit / Polymer-Ensemble-Similarity
Calculating Pairwise Similarity of Polymer Ensembles via Earth Mover’s Distance
earth-movers-distance ensemble ensemble-prediction graph-edit-distance optimal-transport polymer similarity similarity-metric cheminformatics digital-search
Language:Jupyter Notebook 1
davidtjones / PyTorchEMD
PyTorch Wrapper for Earth-Mover-Distance (EMD) for 3D point cloud regression
cuda earth-movers-distance emd pytorch wasserstein-distance
Language:Cuda 0
spyros-briakos / Autoencoder-Dimensionality-Reduction
Autoencoder dimensionality reduction, EMD-Manhattan metrics comparison and classifier based clustering on MNIST dataset.
clustering dimensionality-reduction autoencoder mnist-dataset approximate-nearest-neighbor-search earth-movers-distance bottleneck lsh-algorithm manhattan-distance
Language:C++