Alternatives and similar repositories for QuantizedGromovWasserstein:

Users that are interested in QuantizedGromovWasserstein are comparing it to the libraries listed below

• thibsej / unbalanced_gromov_wasserstein
  Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport
  ☆44Updated 2 years ago
• fedelopez77 / gyrospd
  GyroSPD: Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices
  ☆18Updated 3 years ago
• alexisthual / fugw
  Scalable python GPU solvers for fused unbalanced gromov-wasserstein optimal transport problems, with routines and examples to align brain…
  ☆40Updated last week
• nerdslab / latentOT
  Latent optimal transport (LOT) for low rank transport and clustering
  ☆19Updated 3 years ago
• trneedham / Spectral-Gromov-Wasserstein
  Graph matching and clustering by comparing heat kernels via optimal transport.
  ☆26Updated 2 years ago
• PythonOT / COOT
  CO-Optimal Transport
  ☆42Updated 4 years ago
• trneedham / gromov-wasserstein-statistics
  Statistics on the space of asymmetric networks via Gromov-Wasserstein distance
  ☆13Updated 4 years ago
• cantinilab / OT-scOmics
  This Python package will allow you to replicate the experiments from our research on applying Optimal Transport as a similarity metric in…
  ☆38Updated 2 years ago
• samirchowdhury / HyperCOT
  Code for computing Hypergraph Co-Optimal Transport distances
  ☆16Updated 2 years ago
• KrishnaswamyLab / DiffusionEMD
  Code corresponding to the paper Diffusion Earth Mover's Distance and Distribution Embeddings
  ☆35Updated 3 months ago
• ratschlab / SVGP-VAE
  Tensorflow implementation for the SVGP-VAE model.
  ☆22Updated 3 years ago
• navid-naderi / WEGL
  The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).
  ☆34Updated 4 years ago
• rsinghlab / SCOT
  Gromov-Wasserstein based optimal transport for aligning single-cell multi-omics data
  ☆69Updated last year
• bunnech / jkonet
  Proximal Optimal Transport Modeling of Population Dynamics (AISTATS 2022)
  ☆17Updated last year
• dpeerlab / WassersteinWormhole
  Transformer Based Embeddings of Wasserstein Distance
  ☆16Updated 4 months ago
• lttam / TreeWasserstein
  Matlab code for tree-Wasserstein distance in the paper "Tree-Sliced Variants of Wasserstein Distances", NeurIPS, 2019. (Tam Le, Makoto Y…
  ☆11Updated 5 years ago
• kilianFatras / minibatch_Wasserstein
  Code for "Learning with minibatch Wasserstein: asymptotic and gradient properties".
  ☆13Updated 3 years ago
• kasparmartens / NeuralDecomposition
  PyTorch implementation of the paper "Neural Decomposition: Functional ANOVA with Variational Autoencoders"
  ☆25Updated 4 years ago
• berenslab / ne-spectrum
  Attraction-Repulsion Spectrum in Neighbor Embeddings
  ☆30Updated 2 years ago
• cantinilab / stories
  Learning cell fate landscapes from spatial transcriptomics using Fused Gromov-Wasserstein
  ☆12Updated 7 months ago
• zsteve / StationaryOT
  Dynamic inference from single-cell snapshots by optimal transport
  ☆19Updated last year
• ManchesterBioinference / GPcounts
  Gaussian process regression package for counts data with negative binomial and zero-inflated negative binomial likelihoods
  ☆21Updated last month
• meyerscetbon / LOT
  ☆17Updated 2 years ago
• berenslab / contrastive-ne
  Contrastive neighbor embeddings
  ☆53Updated 2 weeks ago
• aradha / deep_neural_feature_ansatz
  Code for verifying deep neural feature ansatz
  ☆16Updated last year
• sciai-lab / BranchedOT
  ☆13Updated last year
• francoispierrepaty / SubspaceRobustWasserstein
  Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"
  ☆28Updated 5 years ago
• sciai-lab / cl-tsne-umap
  ☆33Updated 2 years ago
• nerdslab / PyHiWA
  Alignment between clustered datasets via hierarchical Wasserstein distance
  ☆37Updated last year
• andrewcharlesjones / spatial-alignment
  Alignment of spatial genomics data using deep Gaussian processes
  ☆27Updated 2 years ago