Alternatives and similar repositories for vdvae

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

• NVlabs / NVAE
  The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)
  ☆1,074Updated 2 years ago
• y0ast / Glow-PyTorch
  Simple, extendable, easy to understand Glow implementation in PyTorch
  ☆387Updated 3 years ago
• GlassyWing / nvae
  An unofficial toy implementation for NVAE 《A Deep Hierarchical Variational Autoencoder》
  ☆113Updated 4 years ago
• cwkx / GON
  Gradient Origin Networks - a new type of generative model that is able to quickly learn a latent representation without an encoder
  ☆159Updated 4 years ago
• msmsajjadi / precision-recall-distributions
  Assessing Generative Models via Precision and Recall (official repository)
  ☆108Updated 2 years ago
• Rayhane-mamah / Efficient-VDVAE
  Official Pytorch and JAX implementation of "Efficient-VDVAE: Less is more"
  ☆196Updated 3 years ago
• didriknielsen / survae_flows
  Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"
  ☆288Updated 4 years ago
• EugenHotaj / pytorch-generative
  Easy generative modeling in PyTorch
  ☆438Updated 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…
  ☆198Updated 3 years ago
• rtqichen / beta-tcvae
  code for "Isolating Sources of Disentanglement in Variational Autoencoders".
  ☆350Updated 3 years ago
• amir-abdi / disentanglement-pytorch
  Disentanglement library for PyTorch
  ☆281Updated 3 years ago
• jhjacobsen / invertible-resnet
  Official Code for Invertible Residual Networks
  ☆533Updated last year
• rtqichen / residual-flows
  code for "Residual Flows for Invertible Generative Modeling".
  ☆272Updated 2 years ago
• NVlabs / LSGM
  The Official PyTorch Implementation of "LSGM: Score-based Generative Modeling in Latent Space" (NeurIPS 2021)
  ☆365Updated 3 years ago
• wgrathwohl / JEM
  Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"
  ☆425Updated 3 years ago
• kynkaat / improved-precision-and-recall-metric
  Improved Precision and Recall Metric for Assessing Generative Models - Official TensorFlow Implementation
  ☆178Updated last month
• nadavbh12 / VQ-VAE
  Minimalist implementation of VQ-VAE in Pytorch
  ☆549Updated 4 years ago
• chrischute / glow
  Implementation of Glow in PyTorch
  ☆80Updated 4 years ago
• pclucas14 / pixel-cnn-pp
  Pytorch Implementation of OpenAI's PixelCNN++
  ☆348Updated 4 years ago
• ikostrikov / pytorch-flows
  PyTorch implementations of algorithms for density estimation
  ☆585Updated 4 years ago
• rosinality / glow-pytorch
  PyTorch implementation of Glow
  ☆543Updated 3 years ago
• hmdolatabadi / denoising_diffusion
  Unofficial Implementation of "Denoising Diffusion Probabilistic Models" in PyTorch(Lightning)
  ☆91Updated 5 years ago
• aravindsrinivas / flowpp
  Code for reproducing Flow ++ experiments
  ☆189Updated 6 years ago
• openai / ebm_code_release
  Code for Implicit Generation and Generalization with Energy Based Models
  ☆358Updated 2 years ago
• daib13 / TwoStageVAE
  ☆238Updated 6 years ago
• ermongroup / ncsn
  Noise Conditional Score Networks (NeurIPS 2019, Oral)
  ☆750Updated last year
• karpathy / deep-vector-quantization
  VQVAEs, GumbelSoftmaxes and friends
  ☆592Updated 3 years ago
• chrischute / real-nvp
  Implementation of Real NVP in PyTorch
  ☆236Updated 6 years ago
• google-deepmind / 3d-shapes
  This repository contains the 3D shapes dataset, used in Kim, Hyunjik and Mnih, Andriy. "Disentangling by Factorising." In Proceedings of …
  ☆150Updated last year
• YannDubs / disentangling-vae
  Experiments for understanding disentanglement in VAE latent representations
  ☆830Updated 2 years ago