yandexdataschool / gumbel_lstm

Related projects ⓘ

Alternatives and complementary repositories for gumbel_lstm

• KyleGoyette / nnRNN
  ☆24Updated 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 4 years ago
• paruby / DIP-VAE
  An implementation of DIP-VAE from the paper "Variational Inference of Disentangled Latent Concepts from Unlabelled Observations" by Kumar…
  ☆24Updated 6 years ago
• 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…
  ☆73Updated 6 years ago
• SeojinBang / VIBI
  Explaining a black-box using Deep Variational Information Bottleneck Approach
  ☆46Updated 2 years ago
• Cyanogenoid / fspool
  [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling
  ☆42Updated last year
• XuezheMax / mae
  MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders
  ☆23Updated 5 years ago
• anirbanl / sparsegen
  Code for the NeurIPS 2018 paper "On Controllable Sparse Alternatives to Softmax"
  ☆22Updated 5 years ago
• j-min / Dropouts
  PyTorch Implementations of Dropout Variants
  ☆87Updated 6 years ago
• kefirski / variational_dropout
  Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch
  ☆50Updated 7 years ago
• sidak / context-mover-distance-and-barycenters
  Code accompanying our paper at AISTATS 2020
  ☆21Updated 3 years ago
• GuyLor / Direct-VAE
  Implementation of the paper "Direct Optimization through argmax for discrete Variational Auto-Encoder"
  ☆14Updated 4 years ago
• apsarath / NRU
  ☆22Updated 5 years ago
• brendenlake / meta_seq2seq
  PyTorch code for meta seq2seq learning
  ☆43Updated 4 years ago
• bobchennan / VAE_NBP
  Variational Auto-encoder with Non-parametric Bayesian Prior
  ☆42Updated 7 years ago
• PurdueMINDS / GNNsMiscalibrated
  ☆17Updated 5 years ago
• sordonia / zforcing
  ZForcing Repo
  ☆40Updated 7 years ago
• pemami4911 / REBAR-pytorch
  Implementation of REBAR in PyTorch
  ☆17Updated 6 years ago
• mrahtz / humble-gumbel
  Jupyter notebook on Gumbel-max and Gumbel-softmax tricks
  ☆40Updated 2 years ago
• kefirski / bdir_vae
  simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch
  ☆53Updated 7 years ago
• bneyshabur / over-parametrization
  Computing various norms/measures on over-parametrized neural networks
  ☆49Updated 6 years ago
• greentfrapp / cond-shift-neurons
  Implementation of Conditionally Shifted Neurons by Munkhdalai et al. (https://arxiv.org/pdf/1712.09926.pdf)
  ☆29Updated 6 years ago
• SITE5039 / AdaMixUp
  ☆14Updated 5 years ago
• prasoongoyal / bnp-vae
  ☆11Updated 6 years ago
• TalkToTheGAN / REGAN
  ReGAN: Sequence GAN using RE[INFORCE|LAX|BAR] based PG estimators
  ☆41Updated 6 years ago
• HanqingLu / MultiscaleRNN
  This is a PyTorch implementation of the ICLR 2017 paper "HIERARCHICAL MULTISCALE RECURRENT NEURAL NETWORKS" (https://openreview.net/pdf?i…
  ☆51Updated 6 years ago
• wOOL / DMTRL
  [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach
  ☆57Updated 7 years ago
• kefirski / contiguous-succotash
  Recurrent Variational Autoencoder with Dilated Convolutions that generates sequential data implemented in pytorch
  ☆72Updated 3 years ago
• cgartrel / nonsymmetric-DPP-learning
  PyTorch implementation of nonsymmetric determinantal point process (DPP) learning.
  ☆23Updated last year
• dev4488 / VAE_gumble_softmax
  pytorch implementation of VAE-Gumble-Softmax
  ☆62Updated 4 years ago