Alternatives and similar repositories for Soft-VQ-VAE:

Users that are interested in Soft-VQ-VAE are comparing it to the libraries listed below

• speechmatics / hqa
  Code to accompany the paper "Hierarchical Quantized Autoencoders"
  ☆37Updated last year
• sajadn / Exemplar-VAE
  Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation
  ☆69Updated 4 years ago
• bshall / VectorQuantizedVAE
  A PyTorch implementation of "Continuous Relaxation Training of Discrete Latent Variable Image Models"
  ☆73Updated 4 years ago
• divymurli / VAEs
  Variational autoencoders: VAE, gaussian mixture VAE (GMVAE), and a basic ladder VAE (LVAE)
  ☆46Updated 4 years ago
• vlievin / biva-pytorch
  Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)
  ☆83Updated 2 years ago
• denproc / Taming-VAEs
  ☆26Updated 6 years ago
• pclucas14 / adaptive-quantization-modules
  Code for "Online Learned Continual Compression with Adaptive Quantization Modules"
  ☆27Updated 4 years ago
• LuisArmandoPerez / DiffusionVAE
  ☆29Updated 3 years ago
• SebFar / radial_bnn
  Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning
  ☆33Updated 4 years ago
• ShangyuanTong / PairGAN
  ☆21Updated 4 years ago
• jthickstun / basis-separation
  Implementation of the BASIS algorithm for source separation with deep generative priors
  ☆36Updated last year
• yookoon / VLAE
  Code for Variational Laplace Autoencoders
  ☆55Updated last year
• moskomule / cca.pytorch
  CCAs for looking into DNNs
  ☆70Updated 4 years ago
• kefirski / bdir_vae
  simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch
  ☆52Updated 7 years ago
• martinmamql / relative_predictive_coding
  Project page for paper Self-supervised Representation Learning with Relative Predictive Coding
  ☆17Updated 3 years ago
• weixsong / NormalizingFlow
  Implementation of different Normalizing Flows, NF, Planar Flows, IAF, etc.
  ☆27Updated 6 years ago
• XuezheMax / macow
  Masked Convolutional Flow
  ☆59Updated 4 years ago
• xqding / Importance_Weighted_Autoencoders
  A PyTorch Implementation of the Importance Weighted Autoencoders
  ☆40Updated 6 years ago
• yatindandi / Disentangled-Sequential-Autoencoder
  Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mand…
  ☆104Updated 6 years ago
• CW-Huang / NAF
  Experiments for the Neural Autoregressive Flows paper
  ☆123Updated 3 years ago
• MinhyungCho / riemannian-batch-normalization
  Riemannian approach to batch normalization
  ☆18Updated 7 years ago
• kefirski / variational_dropout
  Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch
  ☆50Updated 7 years ago
• distsup / DistSup
  Representation learning for NLP @ JSALT19
  ☆38Updated 4 years ago
• pclucas14 / iaf-vae
  Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow"
  ☆80Updated 4 years ago
• pratikm141 / MMD-Variational-Autoencoder-Pytorch-InfoVAE
  Implementation of the MMD VAE paper (InfoVAE: Information Maximizing Variational Autoencoders) in pytorch
  ☆42Updated 4 years ago
• ssp573 / Contrastive-Predictive-Coding
  ☆26Updated 6 years ago
• j-min / Dropouts
  PyTorch Implementations of Dropout Variants
  ☆87Updated 7 years ago
• tbung / pytorch-revnet
  Implementation of the reversible residual network in pytorch
  ☆102Updated 3 years ago
• eifuentes / swae-pytorch
  Implementation of the Sliced Wasserstein Autoencoder using PyTorch
  ☆101Updated 6 years ago
• hojonathanho / localbitsback
  Compression with Flows via Local Bits-Back Coding
  ☆39Updated 5 years ago