Alternatives and similar repositories for normalizing-flows

Users that are interested in normalizing-flows are comparing it to the libraries listed below

• johannbrehmer / manifold-flow
  Manifold-learning flows (ℳ-flows)
  ☆230Updated 5 years ago
• tonyduan / normalizing-flows
  Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.
  ☆281Updated last year
• bayesiains / nsf
  Code for Neural Spline Flows paper
  ☆280Updated 3 weeks ago
• didriknielsen / survae_flows
  Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"
  ☆288Updated 4 years ago
• gpapamak / maf
  Masked Autoregressive Flow
  ☆218Updated last year
• acids-ircam / pytorch_flows
  Implementation and tutorials of normalizing flows with the novel distributions module
  ☆168Updated 5 years ago
• izmailovpavel / flowgmm
  ☆149Updated 3 years ago
• nicola-decao / BNAF
  Pytorch implementation of Block Neural Autoregressive Flow
  ☆181Updated 4 years ago
• TrentBrick / PyTorchDiscreteFlows
  Discrete Normalizing Flows implemented in PyTorch
  ☆113Updated 4 years ago
• riannevdberg / sylvester-flows
  ☆181Updated 6 years ago
• ex4sperans / variational-inference-with-normalizing-flows
  Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)
  ☆237Updated 7 years ago
• rtqichen / residual-flows
  code for "Residual Flows for Invertible Generative Modeling".
  ☆273Updated 2 years ago
• EmilienDupont / neural-processes
  Pytorch implementation of Neural Processes for functions and images
  ☆233Updated 3 years ago
• ericjang / normalizing-flows-tutorial
  Tutorial on normalizing flows.
  ☆299Updated 7 years ago
• VincentStimper / resampled-base-flows
  Normalizing Flows with a resampled base distribution
  ☆47Updated 3 years ago
• senya-ashukha / real-nvp-pytorch
  Real NVP PyTorch a Minimal Working Example | Normalizing Flow
  ☆142Updated 5 years ago
• chrischute / real-nvp
  Implementation of Real NVP in PyTorch
  ☆236Updated 6 years ago
• VMBoehm / PAE
  Probabilistic Auto-Encoder
  ☆43Updated 2 years ago
• cfinlay / ffjord-rnode
  Regularized Neural ODEs (RNODE)
  ☆84Updated 4 years ago
• pclucas14 / iaf-vae
  Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow"
  ☆83Updated 5 years ago
• addtt / ladder-vae-pytorch
  Ladder Variational Autoencoders (LVAE) in PyTorch
  ☆92Updated 5 years ago
• soobinseo / Attentive-Neural-Process
  A Pytorch Implementation of Attentive Neural Process
  ☆75Updated 6 years ago
• PolinaKirichenko / flows_ood
  ☆89Updated 4 years ago
• probabilists / zuko
  Normalizing flows in PyTorch
  ☆417Updated 3 weeks ago
• alisiahkoohi / Langevin-dynamics
  Sampling with gradient-based Markov Chain Monte Carlo approaches
  ☆108Updated last year
• vlievin / biva-pytorch
  Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)
  ☆85Updated 2 years ago
• mj-will / augmented-flows
  Pytorch implementation of the basic idea presented in https://arxiv.org/abs/2002.07101
  ☆12Updated 5 years ago
• biweidai / SINF
  Sliced Iterative Generator (SIG) & Gaussianizing Iterative Slicing (GIS)
  ☆37Updated 2 years ago
• EmoryMLIP / OT-Flow
  PyTorch implementation of the OT-Flow approach in arXiv:2006.00104
  ☆57Updated last year
• noegroup / stochastic_normalizing_flows
  Stochastic Normalizing Flows
  ☆78Updated 3 years ago