ikostrikov / pytorch-flows

Related projects ⓘ

Alternatives and complementary repositories for pytorch-flows

• y0ast / Glow-PyTorch
  Simple, extendable, easy to understand Glow implementation in PyTorch
  ☆376Updated 2 years ago
• kamenbliznashki / normalizing_flows
  Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows
  ☆606Updated 3 years ago
• rtqichen / ffjord
  code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".
  ☆629Updated 4 years ago
• ex4sperans / variational-inference-with-normalizing-flows
  Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)
  ☆228Updated 6 years ago
• ericjang / normalizing-flows-tutorial
  Tutorial on normalizing flows.
  ☆292Updated 6 years ago
• tonyduan / normalizing-flows
  Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.
  ☆272Updated 11 months ago
• rtqichen / residual-flows
  code for "Residual Flows for Invertible Generative Modeling".
  ☆263Updated last year
• bayesiains / nsf
  Code for Neural Spline Flows paper
  ☆259Updated 4 years ago
• jhjacobsen / invertible-resnet
  Official Code for Invertible Residual Networks
  ☆519Updated 3 months ago
• karpathy / pytorch-made
  MADE (Masked Autoencoder Density Estimation) implementation in PyTorch
  ☆539Updated 5 years ago
• Schlumberger / joint-vae
  Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation
  ☆461Updated 5 years ago
• senya-ashukha / real-nvp-pytorch
  Real NVP PyTorch a Minimal Working Example | Normalizing Flow
  ☆137Updated 4 years ago
• karpathy / pytorch-normalizing-flows
  Normalizing flows in PyTorch. Current intended use is education not production.
  ☆846Updated 4 years ago
• rtqichen / beta-tcvae
  code for "Isolating Sources of Disentanglement in Variational Autoencoders".
  ☆343Updated 2 years ago
• gpapamak / maf
  Masked Autoregressive Flow
  ☆204Updated 3 months ago
• pclucas14 / pixel-cnn-pp
  Pytorch Implementation of OpenAI's PixelCNN++
  ☆345Updated 3 years ago
• nicola-decao / s-vae-pytorch
  Pytorch implementation of Hyperspherical Variational Auto-Encoders
  ☆352Updated 4 years ago
• chrischute / real-nvp
  Implementation of Real NVP in PyTorch
  ☆224Updated 5 years ago
• didriknielsen / survae_flows
  Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"
  ☆284Updated 3 years ago
• nicola-decao / BNAF
  Pytorch implementation of Block Neural Autoregressive Flow
  ☆176Updated 3 years ago
• wgrathwohl / JEM
  Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"
  ☆417Updated 2 years ago
• aravindsrinivas / flowpp
  Code for reproducing Flow ++ experiments
  ☆187Updated 5 years ago
• acids-ircam / pytorch_flows
  Implementation and tutorials of normalizing flows with the novel distributions module
  ☆160Updated 4 years ago
• daib13 / TwoStageVAE
  ☆230Updated 5 years ago
• google-deepmind / dsprites-dataset
  Dataset to assess the disentanglement properties of unsupervised learning methods
  ☆483Updated 3 years ago
• jmtomczak / vae_vampprior
  Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling
  ☆223Updated 6 years ago
• josipd / torch-two-sample
  A PyTorch library for two-sample tests
  ☆237Updated last year
• bayesiains / nflows
  Normalizing flows in PyTorch
  ☆848Updated last year
• YannDubs / disentangling-vae
  Experiments for understanding disentanglement in VAE latent representations
  ☆795Updated last year
• chaiyujin / glow-pytorch
  pytorch implementation of openai paper "Glow: Generative Flow with Invertible 1×1 Convolutions"
  ☆507Updated 5 years ago