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
  ☆634Updated 4 years ago
• VincentStimper / normalizing-flows
  PyTorch implementation of normalizing flow models
  ☆897Updated last year
• bayesiains / nflows
  Normalizing flows in PyTorch
  ☆966Updated 10 months ago
• rosinality / glow-pytorch
  PyTorch implementation of Glow
  ☆543Updated 3 years ago
• janosh / awesome-normalizing-flows
  Awesome resources on normalizing flows.
  ☆1,577Updated 3 months ago
• NVlabs / NVAE
  The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)
  ☆1,076Updated 2 years ago
• jhjacobsen / invertible-resnet
  Official Code for Invertible Residual Networks
  ☆533Updated last year
• y0ast / Glow-PyTorch
  Simple, extendable, easy to understand Glow implementation in PyTorch
  ☆387Updated 3 years ago
• chrischute / real-nvp
  Implementation of Real NVP in PyTorch
  ☆236Updated 6 years ago
• YannDubs / disentangling-vae
  Experiments for understanding disentanglement in VAE latent representations
  ☆832Updated 2 years ago
• dfdazac / wassdistance
  Approximating Wasserstein distances with PyTorch
  ☆460Updated 2 years ago
• ldeecke / gmm-torch
  Gaussian mixture models in PyTorch.
  ☆583Updated 2 years ago
• rtqichen / ffjord
  code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".
  ☆657Updated 5 years ago
• ermongroup / ncsn
  Noise Conditional Score Networks (NeurIPS 2019, Oral)
  ☆753Updated last year
• matthewvowels1 / Awesome-VAEs
  A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
  ☆828Updated 4 years ago
• jonbarron / robust_loss_pytorch
  A pytorch port of google-research/google-research/robust_loss/
  ☆691Updated last month
• jeanfeydy / geomloss
  Geometric loss functions between point clouds, images and volumes
  ☆659Updated 6 months ago
• ikostrikov / pytorch-flows
  PyTorch implementations of algorithms for density estimation
  ☆585Updated 4 years ago
• didriknielsen / survae_flows
  Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"
  ☆288Updated 4 years ago
• chaiyujin / glow-pytorch
  pytorch implementation of openai paper "Glow: Generative Flow with Invertible 1×1 Convolutions"
  ☆513Updated 6 years ago
• tonyduan / normalizing-flows
  Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.
  ☆281Updated last year
• gpeyre / SinkhornAutoDiff
  Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm
  ☆446Updated 7 years ago
• rtqichen / residual-flows
  code for "Residual Flows for Invertible Generative Modeling".
  ☆273Updated 2 years ago
• 1Konny / Beta-VAE
  Pytorch implementation of β-VAE
  ☆552Updated 4 years ago
• vislearn / analyzing_inverse_problems
  Code for the paper "Analyzing inverse problems with invertible neural networks." (2018)
  ☆103Updated 5 years ago
• zh217 / torch-dct
  DCT (discrete cosine transform) functions for pytorch
  ☆634Updated 2 years ago
• ex4sperans / variational-inference-with-normalizing-flows
  Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)
  ☆236Updated 7 years ago
• karpathy / pytorch-normalizing-flows
  Normalizing flows in PyTorch. Current intended use is education not production.
  ☆882Updated 5 years ago
• aleximmer / Laplace
  Laplace approximations for Deep Learning.
  ☆523Updated 6 months ago
• hsinyilin19 / ResNetVAE
  Variational AutoEncoder + ResNet Transfer Learning
  ☆233Updated 3 years ago