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
• 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
• alexisthual / fugw
  Scalable python GPU solvers for fused unbalanced gromov-wasserstein optimal transport problems, with routines and examples to align brain…
  ☆41Updated last month
• fedelopez77 / gyrospd
  GyroSPD: Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices
  ☆18Updated 3 years ago
• samirchowdhury / HyperCOT
  Code for computing Hypergraph Co-Optimal Transport distances
  ☆16Updated 2 years ago
• nerdslab / latentOT
  Latent optimal transport (LOT) for low rank transport and clustering
  ☆19Updated 3 years ago
• navid-naderi / WEGL
  The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).
  ☆35Updated 4 years ago
• ratschlab / SVGP-VAE
  Tensorflow implementation for the SVGP-VAE model.
  ☆22Updated 3 years ago
• trneedham / Spectral-Gromov-Wasserstein
  Graph matching and clustering by comparing heat kernels via optimal transport.
  ☆26Updated 2 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
• sciai-lab / BranchedOT
  ☆13Updated last year
• dpeerlab / WassersteinWormhole
  Transformer Based Embeddings of Wasserstein Distance
  ☆16Updated 7 months ago
• rsinghlab / SCOT
  Gromov-Wasserstein based optimal transport for aligning single-cell multi-omics data
  ☆71Updated last year
• bunnech / jkonet
  Proximal Optimal Transport Modeling of Population Dynamics (AISTATS 2022)
  ☆19Updated last year
• kasparmartens / NeuralDecomposition
  PyTorch implementation of the paper "Neural Decomposition: Functional ANOVA with Variational Autoencoders"
  ☆25Updated 4 years ago
• kilianFatras / minibatch_Wasserstein
  Code for "Learning with minibatch Wasserstein: asymptotic and gradient properties".
  ☆13Updated 4 years ago
• aidos-lab / TARDIS
  TARDIS: Topological Algorithms for Robust DIscovery of Singularities
  ☆42Updated last year
• VivienCabannes / laplacian
  Fast Laplacian estimation
  ☆17Updated last year
• rajesh-lab / deep_permutation_invariant
  Code accompanying paper "Set Norm and Equivariant Skip Connections: Putting the Deep in Deep Sets."
  ☆27Updated 2 years ago
• BorgwardtLab / JointMDS
  Official implementation of Joint Multidimensional Scaling
  ☆21Updated last year
• Genentech / dcdfg
  ☆25Updated 2 years ago
• KrishnaswamyLab / DiffusionEMD
  Code corresponding to the paper Diffusion Earth Mover's Distance and Distribution Embeddings
  ☆36Updated 6 months ago
• MichaelArbel / MMD-gradient-flow
  ☆12Updated 10 months ago
• berenslab / contrastive-ne
  Contrastive neighbor embeddings
  ☆54Updated 3 months ago
• berenslab / ne-spectrum
  Attraction-Repulsion Spectrum in Neighbor Embeddings
  ☆30Updated 2 years ago
• alexisbellot / Graphical-modelling-continuous-time
  Graphical modelling with time series data using an ODE model
  ☆10Updated 3 years ago
• AmirTag / OT-ICNN
  Learning the optimal transport map via input convex neural neworks
  ☆41Updated 4 years ago
• Jinke-Liu / Distance-of-distance-tSNE
  ☆10Updated last year
• dmilios / dirichletGPC
  ☆17Updated 6 years ago