Alternatives and similar repositories for geomloss

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

• lezcano / geotorch
  Constrained optimization toolkit for PyTorch
  ☆702Updated 4 months ago
• gpeyre / SinkhornAutoDiff
  Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm
  ☆449Updated 7 years ago
• geoopt / geoopt
  Riemannian Adaptive Optimization Methods with pytorch optim
  ☆1,005Updated 4 months ago
• getkeops / keops
  KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows
  ☆1,148Updated last month
• locuslab / deq
  [NeurIPS'19] Deep Equilibrium Models
  ☆781Updated 3 years ago
• hjmshi / PyTorch-LBFGS
  A PyTorch implementation of L-BFGS.
  ☆623Updated 2 years ago
• dfdazac / wassdistance
  Approximating Wasserstein distances with PyTorch
  ☆460Updated 2 years ago
• jonbarron / robust_loss_pytorch
  A pytorch port of google-research/google-research/robust_loss/
  ☆692Updated 3 months ago
• kamenbliznashki / normalizing_flows
  Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows
  ☆636Updated 4 years ago
• f-dangel / backpack
  BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
  ☆601Updated last week
• rtqichen / ffjord
  code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".
  ☆663Updated 5 years ago
• patrick-kidger / torchcubicspline
  Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, an…
  ☆273Updated 3 years ago
• fwilliams / scalable-pytorch-sinkhorn
  ☆163Updated 3 years ago
• bayesiains / nflows
  Normalizing flows in PyTorch
  ☆976Updated 11 months ago
• teddykoker / torchsort
  Fast, differentiable sorting and ranking in PyTorch
  ☆846Updated 5 months ago
• didriknielsen / survae_flows
  Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"
  ☆288Updated 4 years ago
• chrischute / real-nvp
  Implementation of Real NVP in PyTorch
  ☆236Updated 6 years ago
• rfeinman / pytorch-minimize
  Newton and Quasi-Newton optimization with PyTorch
  ☆368Updated 6 months ago
• ldeecke / gmm-torch
  Gaussian mixture models in PyTorch.
  ☆583Updated 2 years ago
• YannDubs / disentangling-vae
  Experiments for understanding disentanglement in VAE latent representations
  ☆835Updated 2 years ago
• juho-lee / set_transformer
  Pytorch implementation of set transformer
  ☆636Updated 5 years ago
• lucidrains / siren-pytorch
  Pytorch implementation of SIREN - Implicit Neural Representations with Periodic Activation Function
  ☆505Updated 2 years ago
• ex4sperans / variational-inference-with-normalizing-flows
  Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)
  ☆238Updated 7 years ago
• rtqichen / residual-flows
  code for "Residual Flows for Invertible Generative Modeling".
  ☆273Updated 2 years ago
• ikostrikov / pytorch-flows
  PyTorch implementations of algorithms for density estimation
  ☆585Updated 4 years ago
• google-research / fast-soft-sort
  Fast Differentiable Sorting and Ranking
  ☆612Updated last year
• jhjacobsen / invertible-resnet
  Official Code for Invertible Residual Networks
  ☆534Updated last year
• tonyduan / normalizing-flows
  Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.
  ☆281Updated last year
• anucvml / ddn
  Deep Declarative Networks
  ☆250Updated last month
• VincentStimper / normalizing-flows
  PyTorch implementation of normalizing flow models
  ☆909Updated last year