Alternatives and similar repositories for FrEIA

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

• kamenbliznashki / normalizing_flows
  Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows
  ☆632Updated 4 years ago
• VincentStimper / normalizing-flows
  PyTorch implementation of normalizing flow models
  ☆881Updated last year
• jhjacobsen / invertible-resnet
  Official Code for Invertible Residual Networks
  ☆531Updated last year
• bayesiains / nflows
  Normalizing flows in PyTorch
  ☆957Updated 8 months ago
• janosh / awesome-normalizing-flows
  Awesome resources on normalizing flows.
  ☆1,568Updated 2 months ago
• rosinality / glow-pytorch
  PyTorch implementation of Glow
  ☆542Updated 3 years ago
• rtqichen / ffjord
  code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".
  ☆652Updated 5 years ago
• NVlabs / NVAE
  The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)
  ☆1,064Updated 2 years ago
• chrischute / real-nvp
  Implementation of Real NVP in PyTorch
  ☆236Updated 6 years ago
• dfdazac / wassdistance
  Approximating Wasserstein distances with PyTorch
  ☆459Updated 2 years ago
• jeanfeydy / geomloss
  Geometric loss functions between point clouds, images and volumes
  ☆651Updated 5 months ago
• y0ast / Glow-PyTorch
  Simple, extendable, easy to understand Glow implementation in PyTorch
  ☆386Updated 3 years ago
• didriknielsen / survae_flows
  Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"
  ☆288Updated 4 years ago
• YannDubs / disentangling-vae
  Experiments for understanding disentanglement in VAE latent representations
  ☆826Updated 2 years ago
• gpeyre / SinkhornAutoDiff
  Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm
  ☆444Updated 7 years ago
• jonbarron / robust_loss_pytorch
  A pytorch port of google-research/google-research/robust_loss/
  ☆689Updated 2 weeks ago
• matthewvowels1 / Awesome-VAEs
  A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
  ☆825Updated 4 years ago
• ikostrikov / pytorch-flows
  PyTorch implementations of algorithms for density estimation
  ☆585Updated 4 years ago
• ermongroup / ncsn
  Noise Conditional Score Networks (NeurIPS 2019, Oral)
  ☆742Updated last year
• aleximmer / Laplace
  Laplace approximations for Deep Learning.
  ☆517Updated 5 months ago
• hsinyilin19 / ResNetVAE
  Variational AutoEncoder + ResNet Transfer Learning
  ☆232Updated 3 years ago
• rtqichen / residual-flows
  code for "Residual Flows for Invertible Generative Modeling".
  ☆271Updated 2 years ago
• zh217 / torch-dct
  DCT (discrete cosine transform) functions for pytorch
  ☆624Updated 2 years ago
• tonyduan / normalizing-flows
  Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.
  ☆280Updated last year
• ldeecke / gmm-torch
  Gaussian mixture models in PyTorch.
  ☆577Updated 2 years ago
• locuslab / deq
  [NeurIPS'19] Deep Equilibrium Models
  ☆765Updated 3 years ago
• EugenHotaj / pytorch-generative
  Easy generative modeling in PyTorch
  ☆441Updated 2 years ago
• lezcano / geotorch
  Constrained optimization toolkit for PyTorch
  ☆698Updated last month
• QUVA-Lab / e2cnn
  E(2)-Equivariant CNNs Library for Pytorch
  ☆650Updated last year
• chaiyujin / glow-pytorch
  pytorch implementation of openai paper "Glow: Generative Flow with Invertible 1×1 Convolutions"
  ☆513Updated 6 years ago