Alternatives and similar repositories for geomloss:

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

• gpeyre / SinkhornAutoDiff
  Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm
  ☆441Updated 6 years ago
• lezcano / geotorch
  Constrained optimization toolkit for PyTorch
  ☆670Updated 3 years ago
• dfdazac / wassdistance
  Approximating Wasserstein distances with PyTorch
  ☆457Updated last year
• getkeops / keops
  KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows
  ☆1,078Updated 3 weeks ago
• juho-lee / set_transformer
  Pytorch implementation of set transformer
  ☆569Updated 5 years ago
• fwilliams / scalable-pytorch-sinkhorn
  ☆148Updated 2 years ago
• geoopt / geoopt
  Riemannian Adaptive Optimization Methods with pytorch optim
  ☆904Updated 10 months ago
• YannDubs / disentangling-vae
  Experiments for understanding disentanglement in VAE latent representations
  ☆809Updated 2 years ago
• hjmshi / PyTorch-LBFGS
  A PyTorch implementation of L-BFGS.
  ☆598Updated 2 years ago
• teddykoker / torchsort
  Fast, differentiable sorting and ranking in PyTorch
  ☆796Updated last year
• kilianFatras / awesome-optimal-transport
  A list of awesome papers and cool resources on optimal transport and its applications in general! As you will notice, this list is curren…
  ☆218Updated 3 years ago
• bayesiains / nflows
  Normalizing flows in PyTorch
  ☆893Updated 2 months ago
• lucidrains / siren-pytorch
  Pytorch implementation of SIREN - Implicit Neural Representations with Periodic Activation Function
  ☆480Updated last year
• t-vi / pytorch-tvmisc
  Totally Versatile Miscellanea for Pytorch
  ☆470Updated 3 years ago
• kamenbliznashki / normalizing_flows
  Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows
  ☆614Updated 3 years ago
• jhjacobsen / invertible-resnet
  Official Code for Invertible Residual Networks
  ☆524Updated 7 months ago
• rfeinman / pytorch-minimize
  Newton and Quasi-Newton optimization with PyTorch
  ☆339Updated last year
• amir-abdi / disentanglement-pytorch
  Disentanglement library for PyTorch
  ☆276Updated 2 years ago
• nicola-decao / s-vae-pytorch
  Pytorch implementation of Hyperspherical Variational Auto-Encoders
  ☆360Updated 5 years ago
• f-dangel / backpack
  BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
  ☆572Updated 2 months ago
• jonbarron / robust_loss_pytorch
  A pytorch port of google-research/google-research/robust_loss/
  ☆677Updated 3 years ago
• didriknielsen / survae_flows
  Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"
  ☆286Updated 4 years ago
• johannbrehmer / manifold-flow
  Manifold-learning flows (ℳ-flows)
  ☆229Updated 4 years ago
• ldeecke / gmm-torch
  Gaussian mixture models in PyTorch.
  ☆546Updated last year
• ott-jax / ott
  Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.
  ☆571Updated last week
• rusty1s / pytorch_cluster
  PyTorch Extension Library of Optimized Graph Cluster Algorithms
  ☆855Updated 2 months ago
• rusty1s / pytorch_sparse
  PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations
  ☆1,048Updated 2 months ago
• locuslab / mdeq
  [NeurIPS'20] Multiscale Deep Equilibrium Models
  ☆233Updated 3 years ago
• wgrathwohl / JEM
  Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"
  ☆420Updated 2 years ago
• anucvml / ddn
  Deep Declarative Networks
  ☆242Updated last month