Alternatives and similar repositories for Soft-VQ-VAE

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

• distsup / DistSup
  Representation learning for NLP @ JSALT19
  ☆39Updated 4 years ago
• speechmatics / hqa
  Code to accompany the paper "Hierarchical Quantized Autoencoders"
  ☆37Updated 2 years ago
• thu-ml / vflow
  Official code for "VFlow: More Expressive Generative Flows with Variational Data Augmentation" (ICML 2020)
  ☆40Updated 2 years ago
• bshall / VectorQuantizedVAE
  A PyTorch implementation of "Continuous Relaxation Training of Discrete Latent Variable Image Models"
  ☆75Updated 5 years ago
• denproc / Taming-VAEs
  ☆26Updated 6 years ago
• jaywalnut310 / Vector-Quantized-Autoencoders
  Tensorflow Implementation of "Theory and Experiments on Vector Quantized Autoencoders"
  ☆14Updated 6 years ago
• sajadn / Exemplar-VAE
  Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation
  ☆69Updated 4 years ago
• jthickstun / basis-separation
  Implementation of the BASIS algorithm for source separation with deep generative priors
  ☆41Updated 2 years ago
• pclucas14 / iaf-vae
  Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow"
  ☆83Updated 5 years ago
• vlievin / biva-pytorch
  Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)
  ☆85Updated 2 years ago
• chrischute / flowplusplus
  Implementation of Flow++ in PyTorch
  ☆40Updated 6 years ago
• NingMiao / InteL-VAEs
  Codes for paper <InteL-VAEs: Adding Inductive Biases to VariationalAuto-Encoders via Intermediary Latents>.
  ☆19Updated 4 years ago
• divymurli / VAEs
  Variational autoencoders: VAE, gaussian mixture VAE (GMVAE), and a basic ladder VAE (LVAE)
  ☆47Updated 5 years ago
• aliutkus / swf
  ☆15Updated 5 years ago
• Newbeeer / Anytime-Auto-Regressive-Model
  Code for ICLR 2021 Paper, "Anytime Sampling for Autoregressive Models via Ordered Autoencoding"
  ☆26Updated 2 years ago
• Separius / CudaRelativeAttention
  custom cuda kernel for {2, 3}d relative attention with pytorch wrapper
  ☆43Updated 5 years ago
• LuisArmandoPerez / DiffusionVAE
  ☆29Updated 3 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…
  ☆83Updated last year
• naturomics / DLF
  Code for reproducing results in "Generative Model with Dynamic Linear Flow"
  ☆71Updated 6 years ago
• XuezheMax / macow
  Masked Convolutional Flow
  ☆60Updated 5 years ago
• google-research / diffstride
  TF/Keras code for DiffStride, a pooling layer with learnable strides.
  ☆124Updated 3 years ago
• minyoungkim21 / vmf-lib
  ☆39Updated 4 years ago
• izmailovpavel / flowgmm
  ☆148Updated 3 years ago
• marl / autopool
  Adaptive pooling operators for multiple instance learning
  ☆77Updated 3 years ago
• kamenbliznashki / pixel_models
  Pytorch implementations of autoregressive pixel models - PixelCNN, PixelCNN++, PixelSNAIL
  ☆35Updated 5 years ago
• unixpickle / ddim
  Denoising Diffusion Implicit Models
  ☆28Updated 4 years ago
• CW-Huang / NAF
  Experiments for the Neural Autoregressive Flows paper
  ☆125Updated 4 years ago
• dwromero / ckconv
  Code repository of the paper "CKConv: Continuous Kernel Convolution For Sequential Data" published at ICLR 2022. https://arxiv.org/abs/21…
  ☆123Updated 2 years ago
• eitanrich / gans-n-gmms
  Official implementation of "On GANs and GMMs"
  ☆67Updated 5 years ago
• weixsong / NormalizingFlow
  Implementation of different Normalizing Flows, NF, Planar Flows, IAF, etc.
  ☆30Updated 7 years ago