Alternatives and similar repositories for pytorch-flows

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

• kamenbliznashki / normalizing_flows
  Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows
  ☆625Updated 3 years ago
• y0ast / Glow-PyTorch
  Simple, extendable, easy to understand Glow implementation in PyTorch
  ☆384Updated 2 years ago
• tonyduan / normalizing-flows
  Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.
  ☆281Updated last year
• ericjang / normalizing-flows-tutorial
  Tutorial on normalizing flows.
  ☆300Updated 7 years ago
• karpathy / pytorch-normalizing-flows
  Normalizing flows in PyTorch. Current intended use is education not production.
  ☆869Updated 5 years ago
• bayesiains / nsf
  Code for Neural Spline Flows paper
  ☆275Updated 5 years ago
• rtqichen / residual-flows
  code for "Residual Flows for Invertible Generative Modeling".
  ☆271Updated last year
• senya-ashukha / real-nvp-pytorch
  Real NVP PyTorch a Minimal Working Example | Normalizing Flow
  ☆139Updated 4 years ago
• chrischute / real-nvp
  Implementation of Real NVP in PyTorch
  ☆232Updated 5 years ago
• nicola-decao / s-vae-pytorch
  Pytorch implementation of Hyperspherical Variational Auto-Encoders
  ☆368Updated 5 years ago
• ex4sperans / variational-inference-with-normalizing-flows
  Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)
  ☆235Updated 6 years ago
• Schlumberger / joint-vae
  Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation
  ☆465Updated 6 years ago
• rtqichen / ffjord
  code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".
  ☆643Updated 4 years ago
• jhjacobsen / invertible-resnet
  Official Code for Invertible Residual Networks
  ☆527Updated 10 months ago
• didriknielsen / survae_flows
  Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"
  ☆287Updated 4 years ago
• nicola-decao / BNAF
  Pytorch implementation of Block Neural Autoregressive Flow
  ☆179Updated 3 years ago
• gpapamak / maf
  Masked Autoregressive Flow
  ☆213Updated 10 months ago
• daib13 / TwoStageVAE
  ☆238Updated 6 years ago
• karpathy / pytorch-made
  MADE (Masked Autoencoder Density Estimation) implementation in PyTorch
  ☆556Updated 6 years ago
• aravindsrinivas / flowpp
  Code for reproducing Flow ++ experiments
  ☆189Updated 6 years ago
• wgrathwohl / JEM
  Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"
  ☆423Updated 2 years ago
• acids-ircam / pytorch_flows
  Implementation and tutorials of normalizing flows with the novel distributions module
  ☆166Updated 4 years ago
• pclucas14 / pixel-cnn-pp
  Pytorch Implementation of OpenAI's PixelCNN++
  ☆347Updated 4 years ago
• rosinality / glow-pytorch
  PyTorch implementation of Glow
  ☆536Updated 3 years ago
• riannevdberg / sylvester-flows
  ☆180Updated 5 years ago
• josipd / torch-two-sample
  A PyTorch library for two-sample tests
  ☆240Updated 2 years ago
• rtqichen / beta-tcvae
  code for "Isolating Sources of Disentanglement in Variational Autoencoders".
  ☆350Updated 2 years ago
• bayesiains / nflows
  Normalizing flows in PyTorch
  ☆921Updated 5 months ago
• probtorch / probtorch
  Probabilistic Torch is library for deep generative models that extends PyTorch
  ☆889Updated last year
• EmilienDupont / neural-processes
  Pytorch implementation of Neural Processes for functions and images
  ☆230Updated 3 years ago