Alternatives and similar repositories for nvae:

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

• y0ast / Glow-PyTorch
  Simple, extendable, easy to understand Glow implementation in PyTorch
  ☆381Updated 2 years ago
• taldatech / soft-intro-vae-pytorch
  [CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Va…
  ☆197Updated 2 years ago
• daib13 / TwoStageVAE
  ☆235Updated 5 years ago
• bshall / VectorQuantizedVAE
  A PyTorch implementation of "Continuous Relaxation Training of Discrete Latent Variable Image Models"
  ☆73Updated 5 years ago
• pclucas14 / iaf-vae
  Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow"
  ☆80Updated 4 years ago
• addtt / ladder-vae-pytorch
  Ladder Variational Autoencoders (LVAE) in PyTorch
  ☆91Updated 4 years ago
• chrischute / real-nvp
  Implementation of Real NVP in PyTorch
  ☆230Updated 5 years ago
• chrischute / glow
  Implementation of Glow in PyTorch
  ☆81Updated 4 years ago
• kamenbliznashki / pixel_models
  Pytorch implementations of autoregressive pixel models - PixelCNN, PixelCNN++, PixelSNAIL
  ☆36Updated 5 years ago
• vlievin / biva-pytorch
  Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)
  ☆84Updated 2 years ago
• orybkin / sigma-vae-pytorch
  A σ-VAE implementation in PyTorch
  ☆98Updated 3 years ago
• 1Konny / FactorVAE
  Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)
  ☆269Updated 6 years ago
• amir-abdi / disentanglement-pytorch
  Disentanglement library for PyTorch
  ☆276Updated 2 years ago
• rtqichen / beta-tcvae
  code for "Isolating Sources of Disentanglement in Variational Autoencoders".
  ☆349Updated 2 years ago
• podgorskiy / VAE
  Example of vanilla VAE for face image generation at resolution 128x128 using pytorch.
  ☆73Updated 6 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
  ☆165Updated 4 years ago
• rtqichen / residual-flows
  code for "Residual Flows for Invertible Generative Modeling".
  ☆265Updated last year
• EmilienDupont / neural-function-distributions
  Pytorch implementation of Generative Models as Distributions of Functions 🌿
  ☆148Updated last year
• 5yearsKim / Conditional-Normalizing-Flow
  Conditional Generative model (Normalizing Flow) and experimenting style transfer using this model
  ☆74Updated 2 years ago
• ermongroup / ncsnv2
  The official PyTorch implementation for NCSNv2 (NeurIPS 2020)
  ☆294Updated 3 years ago
• rosinality / igebm-pytorch
  Implicit Generation and Generalization in Energy Based Models in PyTorch
  ☆65Updated 6 years ago
• shirleyzhu233 / realNVP
  PyTorch implementation of realNVP
  ☆85Updated 6 months ago
• hmdolatabadi / denoising_diffusion
  Unofficial Implementation of "Denoising Diffusion Probabilistic Models" in PyTorch(Lightning)
  ☆89Updated 4 years ago
• singh-hrituraj / PixelCNN-Pytorch
  A naive implementation of PixelCNN in Pytorch as described in A Oord et. al.
  ☆63Updated 4 years ago
• paultsw / nice_pytorch
  Nonlinear Independent Components Estimation (Dinh et al, 2014) in PyTorch.
  ☆117Updated 6 years ago
• chrischute / flowplusplus
  Implementation of Flow++ in PyTorch
  ☆41Updated 5 years ago
• izmailovpavel / flowgmm
  ☆147Updated 3 years ago
• iffsid / disentangling-disentanglement
  ☆90Updated 5 years ago
• tonyduan / normalizing-flows
  Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.
  ☆275Updated last year