Alternatives and similar repositories for gsw:

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

• francoispierrepaty / SubspaceRobustWasserstein
  Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"
  ☆28Updated 5 years ago
• bunnech / gwgan
  Learning Generative Models across Incomparable Spaces (ICML 2019)
  ☆27Updated 5 years ago
• VinAIResearch / DSW
  Distributional Sliced-Wasserstein distance code
  ☆49Updated 9 months ago
• vivienseguy / Large-Scale-OT
  Stochastic algorithms for computing Regularized Optimal Transport
  ☆57Updated 6 years ago
• cunningham-lab / igr
  ☆30Updated 4 years ago
• EmoryMLIP / OT-Flow
  PyTorch implementation of the OT-Flow approach in arXiv:2006.00104
  ☆52Updated 9 months ago
• wgrathwohl / LSD
  Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"
  ☆49Updated 4 years ago
• locuslab / orthogonal-convolutions
  Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness
  ☆44Updated 4 years ago
• Landmine598 / OT-DA
  ☆14Updated 4 years ago
• skolouri / swgmm
  Sliced Wasserstein Distance for Learning Gaussian Mixture Models
  ☆62Updated 2 years ago
• audeg / Sinkhorn-GAN
  Learning generative models with Sinkhorn Loss
  ☆28Updated 6 years ago
• hichamjanati / debiased-ot-barycenters
  ☆24Updated 3 years ago
• FrederikWarburg / LaplaceAE
  ☆32Updated 2 years ago
• tvayer / SGW
  Code for Sliced Gromov-Wasserstein
  ☆68Updated 5 years ago
• eifuentes / swae-pytorch
  Implementation of the Sliced Wasserstein Autoencoder using PyTorch
  ☆103Updated 6 years ago
• GiulsLu / OT-gradients
  ☆12Updated 6 years ago
• bobby-he / bayesian-ntk
  Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'
  ☆26Updated 4 years ago
• MichaelArbel / GeneralizedEBM
  ☆53Updated 9 months ago
• ermongroup / smile-mi-estimator
  PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"
  ☆74Updated 5 years ago
• thibsej / unbalanced_gromov_wasserstein
  Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport
  ☆44Updated 2 years ago
• avirmaux / lipEstimation
  ☆58Updated 2 years ago
• hmdolatabadi / LRS_NF
  [AISTATS2020] The official repository of "Invertible Generative Modling using Linear Rational Splines (LRS)".
  ☆20Updated last year
• cambridge-mlg / cnn-gp
  Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…
  ☆32Updated 5 years ago
• HongtengXu / Relational-AutoEncoders
  Learning Autoencoders with Relational Regularization
  ☆46Updated 4 years ago
• noahgolmant / SGLD
  Stochastic Gradient Langevin Dynamics for Bayesian learning
  ☆31Updated 3 years ago
• thibsej / unbalanced-ot-functionals
  It is a repo which allows to compute all divergences derived from the theory of entropically regularized, unbalanced optimal transport. I…
  ☆28Updated 2 years ago
• iamalexkorotin / Wasserstein2GenerativeNetworks
  PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)
  ☆53Updated 2 years ago
• maremun / swg
  Sliced Wasserstein Generator
  ☆23Updated 6 years ago
• mfederici / dsit
  Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"
  ☆25Updated 3 years ago
• siplab-gt / VAELLS
  Code for "Variational Autoencoder with Learned Latent Structure"
  ☆33Updated 4 years ago