Alternatives and similar repositories for wassdistance:

Users that are interested in wassdistance 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
• rdevon / DIM
  Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"
  ☆807Updated 5 years ago
• sungyubkim / MINE-Mutual-Information-Neural-Estimation-
  A pytorch implementation of MINE(Mutual Information Neural Estimation)
  ☆345Updated 6 years ago
• DuaneNielsen / DeepInfomaxPytorch
  Learning deep representations by mutual information estimation and maximization
  ☆324Updated 6 years ago
• t-vi / pytorch-tvmisc
  Totally Versatile Miscellanea for Pytorch
  ☆470Updated 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
• MasanoriYamada / Mine_pytorch
  MINE: Mutual Information Neural Estimation in pytorch (unofficial)
  ☆204Updated 6 years ago
• jeanfeydy / geomloss
  Geometric loss functions between point clouds, images and volumes
  ☆618Updated last year
• Philip-Bachman / amdim-public
  Public repo for Augmented Multiscale Deep InfoMax representation learning
  ☆401Updated 4 years ago
• jvanvugt / pytorch-domain-adaptation
  A collection of implementations of adversarial domain adaptation algorithms
  ☆627Updated 3 years ago
• Natsu6767 / InfoGAN-PyTorch
  PyTorch Implementation of InfoGAN
  ☆322Updated 2 years ago
• jhjacobsen / invertible-resnet
  Official Code for Invertible Residual Networks
  ☆524Updated 7 months ago
• facebookresearch / InvariantRiskMinimization
  PyTorch code to run synthetic experiments.
  ☆415Updated 3 years ago
• schelotto / Wasserstein-AutoEncoders
  PyTorch implementation of Wasserstein Auto-Encoders
  ☆295Updated 4 years ago
• danieltan07 / learning-to-reweight-examples
  PyTorch Implementation of the paper Learning to Reweight Examples for Robust Deep Learning
  ☆354Updated 5 years ago
• nadavbh12 / VQ-VAE
  Minimalist implementation of VQ-VAE in Pytorch
  ☆536Updated 3 years ago
• xjtushujun / meta-weight-net
  NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).
  ☆285Updated 3 years ago
• ethanluoyc / pytorch-vae
  A Variational Autoencoder (VAE) implemented in PyTorch
  ☆420Updated 2 years ago
• vikasverma1077 / manifold_mixup
  Code for reproducing Manifold Mixup results (ICML 2019)
  ☆487Updated 11 months ago
• 1Konny / VIB-pytorch
  Pytorch implementation of Deep Variational Information Bottleneck
  ☆186Updated 7 years ago
• ryanchankh / mcr2
  Official Implementation of Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction (2020)
  ☆198Updated 2 years ago
• lorenmt / maxl
  The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].
  ☆173Updated 3 years ago
• lyakaap / VAT-pytorch
  Virtual Adversarial Training (VAT) implementation for PyTorch
  ☆296Updated 6 years ago
• amber0309 / Domain-generalization
  All about domain generalization
  ☆835Updated last month
• 1Konny / Beta-VAE
  Pytorch implementation of β-VAE
  ☆537Updated 4 years ago
• amir-abdi / disentanglement-pytorch
  Disentanglement library for PyTorch
  ☆277Updated 2 years ago
• gtegner / mine-pytorch
  Mutual Information Neural Estimation in Pytorch
  ☆315Updated 5 months ago
• domainadaptation / salad
  A toolbox for domain adaptation and semi-supervised learning. Contributions welcome.
  ☆337Updated 3 years ago
• nicola-decao / s-vae-pytorch
  Pytorch implementation of Hyperspherical Variational Auto-Encoders
  ☆361Updated 5 years ago
• tolstikhin / wae
  Wasserstein Auto-Encoders
  ☆506Updated 6 years ago