Alternatives and similar repositories for SinkhornAutoDiff

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

• dfdazac / wassdistance
  Approximating Wasserstein distances with PyTorch
  ☆460Updated 2 years ago
• jeanfeydy / geomloss
  Geometric loss functions between point clouds, images and volumes
  ☆677Updated 9 months ago
• amir-abdi / disentanglement-pytorch
  Disentanglement library for PyTorch
  ☆282Updated 3 years ago
• chrischute / real-nvp
  Implementation of Real NVP in PyTorch
  ☆237Updated 6 years ago
• jhjacobsen / invertible-resnet
  Official Code for Invertible Residual Networks
  ☆535Updated last year
• nicola-decao / s-vae-pytorch
  Pytorch implementation of Hyperspherical Variational Auto-Encoders
  ☆385Updated 5 years ago
• mctorch / mctorch
  A manifold optimization library for deep learning
  ☆254Updated 4 years ago
• ex4sperans / variational-inference-with-normalizing-flows
  Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)
  ☆244Updated 7 years ago
• josipd / torch-two-sample
  A PyTorch library for two-sample tests
  ☆242Updated 2 months ago
• rtqichen / beta-tcvae
  code for "Isolating Sources of Disentanglement in Variational Autoencoders".
  ☆351Updated 3 years ago
• schelotto / Wasserstein-AutoEncoders
  PyTorch implementation of Wasserstein Auto-Encoders
  ☆298Updated 5 years ago
• sungyubkim / MINE-Mutual-Information-Neural-Estimation-
  A pytorch implementation of MINE(Mutual Information Neural Estimation)
  ☆350Updated 6 years ago
• y0ast / Glow-PyTorch
  Simple, extendable, easy to understand Glow implementation in PyTorch
  ☆388Updated 3 years ago
• kamenbliznashki / normalizing_flows
  Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows
  ☆637Updated 4 years ago
• daib13 / TwoStageVAE
  ☆238Updated 6 years ago
• ryanchankh / mcr2
  Official Implementation of Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction (2020)
  ☆202Updated 3 years ago
• MasanoriYamada / Mine_pytorch
  MINE: Mutual Information Neural Estimation in pytorch (unofficial)
  ☆208Updated 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
• Schlumberger / joint-vae
  Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation
  ☆469Updated 6 years ago
• 1Konny / FactorVAE
  Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)
  ☆283Updated 7 years ago
• senya-ashukha / real-nvp-pytorch
  Real NVP PyTorch a Minimal Working Example | Normalizing Flow
  ☆142Updated 5 years ago
• tolstikhin / wae
  Wasserstein Auto-Encoders
  ☆507Updated 7 years ago
• hjmshi / PyTorch-LBFGS
  A PyTorch implementation of L-BFGS.
  ☆625Updated 2 years ago
• wgrathwohl / JEM
  Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"
  ☆430Updated 3 years ago
• rythei / PyTorchOT
  implements optimal transport algorithms in pytorch
  ☆104Updated 3 years ago
• EmilienDupont / neural-processes
  Pytorch implementation of Neural Processes for functions and images
  ☆236Updated 4 years ago
• ldeecke / gmm-torch
  Gaussian mixture models in PyTorch.
  ☆584Updated 2 years ago
• 1Konny / WAE-pytorch
  ☆66Updated 6 years ago
• sootlasten / disentangled-representation-papers
  A curated list of research papers related to learning disentangled representations
  ☆465Updated 6 years ago