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
  ☆443Updated 7 years ago
• lezcano / geotorch
  Constrained optimization toolkit for PyTorch
  ☆678Updated 3 years ago
• getkeops / keops
  KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows
  ☆1,095Updated this week
• geoopt / geoopt
  Riemannian Adaptive Optimization Methods with pytorch optim
  ☆928Updated last year
• dfdazac / wassdistance
  Approximating Wasserstein distances with PyTorch
  ☆459Updated 2 years ago
• jonbarron / robust_loss_pytorch
  A pytorch port of google-research/google-research/robust_loss/
  ☆681Updated 3 years ago
• f-dangel / backpack
  BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
  ☆583Updated 5 months ago
• juho-lee / set_transformer
  Pytorch implementation of set transformer
  ☆593Updated 5 years ago
• fwilliams / scalable-pytorch-sinkhorn
  ☆151Updated 2 years ago
• bayesiains / nflows
  Normalizing flows in PyTorch
  ☆920Updated 5 months ago
• ikostrikov / pytorch-flows
  PyTorch implementations of algorithms for density estimation
  ☆584Updated 4 years ago
• rtqichen / ffjord
  code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".
  ☆642Updated 4 years ago
• kamenbliznashki / normalizing_flows
  Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows
  ☆620Updated 3 years ago
• mfinzi / LieConv
  ☆272Updated 2 years ago
• locuslab / deq
  [NeurIPS'19] Deep Equilibrium Models
  ☆750Updated 2 years ago
• hjmshi / PyTorch-LBFGS
  A PyTorch implementation of L-BFGS.
  ☆601Updated 2 years ago
• wgrathwohl / JEM
  Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"
  ☆423Updated 2 years ago
• 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…
  ☆225Updated 4 years ago
• rfeinman / pytorch-minimize
  Newton and Quasi-Newton optimization with PyTorch
  ☆347Updated last year
• johannbrehmer / manifold-flow
  Manifold-learning flows (ℳ-flows)
  ☆229Updated 4 years ago
• tonyduan / normalizing-flows
  Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.
  ☆279Updated last year
• bayesiains / nsf
  Code for Neural Spline Flows paper
  ☆271Updated 4 years ago
• teddykoker / torchsort
  Fast, differentiable sorting and ranking in PyTorch
  ☆813Updated 3 weeks ago
• rtqichen / residual-flows
  code for "Residual Flows for Invertible Generative Modeling".
  ☆270Updated last year
• locuslab / mdeq
  [NeurIPS'20] Multiscale Deep Equilibrium Models
  ☆233Updated 3 years ago
• amir-abdi / disentanglement-pytorch
  Disentanglement library for PyTorch
  ☆276Updated 3 years ago
• wjmaddox / swa_gaussian
  Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"
  ☆465Updated last year
• didriknielsen / survae_flows
  Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"
  ☆287Updated 4 years ago
• t-vi / pytorch-tvmisc
  Totally Versatile Miscellanea for Pytorch
  ☆471Updated 3 years ago
• ott-jax / ott
  Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.
  ☆600Updated 2 weeks ago