Alternatives and similar repositories for VAE_gumble_softmax

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

• vithursant / VAE-Gumbel-Softmax
  An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU…
  ☆72Updated 7 years ago
• jxhe / vae-lagging-encoder
  PyTorch implementation of "Lagging Inference Networks and Posterior Collapse in Variational Autoencoders" (ICLR 2019)
  ☆183Updated 4 years ago
• kingofspace0wzz / wae-rnf-lm
  Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…
  ☆62Updated 5 years ago
• rythei / PyTorchOT
  implements optimal transport algorithms in pytorch
  ☆97Updated 3 years ago
• GuyLor / Direct-VAE
  Implementation of the paper "Direct Optimization through argmax for discrete Variational Auto-Encoder"
  ☆14Updated 4 years ago
• 1Konny / WAE-pytorch
  ☆68Updated 6 years ago
• zlinao / Variational-Transformer
  Variational Transformers for Diverse Response Generation
  ☆81Updated 10 months ago
• TalkToTheGAN / REGAN
  ReGAN: Sequence GAN using RE[INFORCE|LAX|BAR] based PG estimators
  ☆40Updated 7 years ago
• sodawater / T-CVAE
  Transformer-Based Conditioned Variational Autoencoder for Story Completion
  ☆94Updated 4 years ago
• anirudh9119 / zforcing_nips17
  Z Forcing: Training Stochastic RNN's, NIPS'17
  ☆32Updated 7 years ago
• KrisKorrel / sparsemax-pytorch
  Implementation of Sparsemax activation in Pytorch
  ☆160Updated 5 years ago
• Cyanogenoid / fspool
  [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling
  ☆42Updated last year
• wouterkool / stochastic-beam-search
  Implementation of Stochastic Beam Search using Fairseq
  ☆102Updated 6 years ago
• kylehkhsu / cactus-maml
  Code for Unsupervised Learning via Meta-Learning.
  ☆120Updated 6 years ago
• XuezheMax / macow
  Masked Convolutional Flow
  ☆59Updated 5 years ago
• harvardnlp / sa-vae
  ☆153Updated 7 years ago
• zhuohan123 / g2-lstm
  Codes for "Towards Binary-Valued Gates for Robust LSTM Training".
  ☆76Updated 6 years ago
• mingzhang-yin / ARM-gradient
  Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)
  ☆28Updated 6 years ago
• XuezheMax / mae
  MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders
  ☆23Updated 6 years ago
• jacobandreas / tre
  Measuring compositionality in representation learning
  ☆73Updated 6 years ago
• ARM-gradient / ARSM
  Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder…
  ☆17Updated 4 years ago
• ExplorerFreda / VGNSL
  [ACL 2019] Visually Grounded Neural Syntax Acquisition
  ☆90Updated last year
• kefirski / bdir_vae
  simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch
  ☆52Updated 7 years ago
• jiacheng-xu / vmf_vae_nlp
  Code for EMNLP18 paper "Spherical Latent Spaces for Stable Variational Autoencoders"
  ☆168Updated 6 years ago
• BioroboticsLab / IBA-paper-code
  Code for the Paper "Restricting the Flow: Information Bottlenecks for Attribution"
  ☆77Updated 5 years ago
• YongfeiYan / Gumbel_Softmax_VAE
  PyTorch implementation of a Variational Autoencoder with Gumbel-Softmax Distribution
  ☆208Updated 6 years ago
• paruby / DIP-VAE
  An implementation of DIP-VAE from the paper "Variational Inference of Disentangled Latent Concepts from Unlabelled Observations" by Kumar…
  ☆26Updated 7 years ago
• ZhimingZhou / AdaShift-LGANs-MaxGP-refactored
  This is a joint implementation of AdaShift optimizer, LGANs, and MaxGP.
  ☆14Updated 4 years ago
• kdexd / probnmn-clevr
  Code for ICML 2019 paper "Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering" [long-oral]
  ☆66Updated last year
• sordonia / zforcing
  ZForcing Repo
  ☆40Updated 7 years ago