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 2 years ago
• bshall / VectorQuantizedVAE
  A PyTorch implementation of "Continuous Relaxation Training of Discrete Latent Variable Image Models"
  ☆75Updated 5 years ago
• distsup / DistSup
  Representation learning for NLP @ JSALT19
  ☆40Updated 5 years ago
• thu-ml / vflow
  Official code for "VFlow: More Expressive Generative Flows with Variational Data Augmentation" (ICML 2020)
  ☆40Updated 2 years ago
• jthickstun / basis-separation
  Implementation of the BASIS algorithm for source separation with deep generative priors
  ☆41Updated 2 years ago
• jaywalnut310 / Vector-Quantized-Autoencoders
  Tensorflow Implementation of "Theory and Experiments on Vector Quantized Autoencoders"
  ☆14Updated 6 years ago
• Newbeeer / Anytime-Auto-Regressive-Model
  Code for ICLR 2021 Paper, "Anytime Sampling for Autoregressive Models via Ordered Autoencoding"
  ☆26Updated 2 years ago
• denproc / Taming-VAEs
  ☆26Updated 6 years ago
• NingMiao / InteL-VAEs
  Codes for paper <InteL-VAEs: Adding Inductive Biases to VariationalAuto-Encoders via Intermediary Latents>.
  ☆18Updated 4 years ago
• sajadn / Exemplar-VAE
  Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation
  ☆69Updated 5 years ago
• aliutkus / swf
  ☆15Updated 5 years ago
• Separius / CudaRelativeAttention
  custom cuda kernel for {2, 3}d relative attention with pytorch wrapper
  ☆43Updated 5 years ago
• divymurli / VAEs
  Variational autoencoders: VAE, gaussian mixture VAE (GMVAE), and a basic ladder VAE (LVAE)
  ☆47Updated 5 years ago
• chrischute / flowplusplus
  Implementation of Flow++ in PyTorch
  ☆40Updated 6 years ago
• pclucas14 / iaf-vae
  Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow"
  ☆83Updated 5 years ago
• eitanrich / gans-n-gmms
  Official implementation of "On GANs and GMMs"
  ☆67Updated 6 years ago
• LuisArmandoPerez / DiffusionVAE
  ☆29Updated 4 years ago
• minyoungkim21 / vmf-lib
  ☆39Updated 4 years ago
• Cerebras / online-normalization
  Online Normalization for Training Neural Networks (Companion Repository)
  ☆86Updated 4 years ago
• unixpickle / ddim
  Denoising Diffusion Implicit Models
  ☆28Updated 4 years ago
• vlievin / biva-pytorch
  Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)
  ☆85Updated 3 years ago
• kamenbliznashki / pixel_models
  Pytorch implementations of autoregressive pixel models - PixelCNN, PixelCNN++, PixelSNAIL
  ☆36Updated 6 years ago
• naturomics / DLF
  Code for reproducing results in "Generative Model with Dynamic Linear Flow"
  ☆70Updated 6 years ago
• salu133445 / dan
  Source code for "Towards a Deeper Understanding of Adversarial Losses under a Discriminative Adversarial Network Setting"
  ☆42Updated 3 years ago
• hojonathanho / localbitsback
  Compression with Flows via Local Bits-Back Coding
  ☆40Updated 6 years ago
• tbung / pytorch-revnet
  Implementation of the reversible residual network in pytorch
  ☆106Updated 3 years ago
• angelajiang / SelectiveBackprop
  SelectiveBackprop accelerates training by dynamically prioritizing useful examples with high loss
  ☆32Updated 5 years ago
• dwromero / wavelet_networks
  Code repository of the paper "Wavelet Networks: Scale-Translation Equivariant Learning From Raw Time-Series, TMLR" https://arxiv.org/abs…
  ☆84Updated last year
• luis-armando-perez-rey / diffusion_vae
  ☆23Updated 4 years ago
• 1Konny / VQ-VAE
  Pytorch Implementation of "Neural Discrete Representation Learning"
  ☆92Updated 7 years ago