Alternatives and similar repositories for ControlVAE-ICML2020

Users that are interested in ControlVAE-ICML2020 are comparing it to the libraries listed below

• YongfeiYan / Gumbel_Softmax_VAE
  PyTorch implementation of a Variational Autoencoder with Gumbel-Softmax Distribution
  ☆210Updated 6 years ago
• 1Konny / VQ-VAE
  Pytorch Implementation of "Neural Discrete Representation Learning"
  ☆88Updated 7 years ago
• db-Lee / Meta-GMVAE
  ☆42Updated 3 years ago
• dev4488 / VAE_gumble_softmax
  pytorch implementation of VAE-Gumble-Softmax
  ☆63Updated 5 years ago
• iffsid / mmvae
  Multimodal Mixture-of-Experts VAE
  ☆214Updated 2 years ago
• ermongroup / smile-mi-estimator
  PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"
  ☆74Updated 5 years ago
• haofuml / cyclical_annealing
  ☆197Updated 2 years ago
• autonomousvision / counterfactual_generative_networks
  [ICLR'21] Counterfactual Generative Networks
  ☆107Updated 4 years ago
• 1Konny / WAE-pytorch
  ☆68Updated 6 years ago
• amir-abdi / disentanglement-pytorch
  Disentanglement library for PyTorch
  ☆279Updated 3 years ago
• rythei / PyTorchOT
  implements optimal transport algorithms in pytorch
  ☆100Updated 3 years ago
• thunder112358 / disentanglement-representation-using-vaes
  ☆17Updated 5 years ago
• zheng-yanan / techniques-for-kl-vanishing
  This repository summarizes techniques for KL divergence vanishing problem.
  ☆30Updated 5 years ago
• sajadn / posterior-collapse-list
  A curated list of techniques to avoid posterior collapse
  ☆86Updated 2 years ago
• 1Konny / VIB-pytorch
  Pytorch implementation of Deep Variational Information Bottleneck
  ☆199Updated 7 years ago
• paultsw / nice_pytorch
  Nonlinear Independent Components Estimation (Dinh et al, 2014) in PyTorch.
  ☆118Updated 6 years ago
• sungyubkim / GBML
  A collection of Gradient-Based Meta-Learning Algorithms with pytorch
  ☆63Updated 5 years ago
• MasanoriYamada / Mine_pytorch
  MINE: Mutual Information Neural Estimation in pytorch (unofficial)
  ☆204Updated 6 years ago
• sungyubkim / MINE-Mutual-Information-Neural-Estimation-
  A pytorch implementation of MINE(Mutual Information Neural Estimation)
  ☆350Updated 6 years ago
• takashiishida / flooding
  [ICML 2020] code for the flooding regularizer proposed in "Do We Need Zero Training Loss After Achieving Zero Training Error?"
  ☆92Updated 2 years ago
• jiamings / ml-cpc
  ☆36Updated 4 years ago
• sajadn / Exemplar-VAE
  Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation
  ☆69Updated 4 years ago
• soochan-lee / CN-DPM
  Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."
  ☆100Updated 4 years ago
• fangleai / TransformerCVAE
  Transformer-based Conditional Variational Autoencoder for Controllable Story Generation
  ☆155Updated 3 years ago
• bpucla / latent-space-EBM-prior
  ☆36Updated 4 years ago
• g1910 / HyperNetworks
  PyTorch implementation of HyperNetworks (Ha et al., ICLR 2017) for ResNet (Residual Networks)
  ☆269Updated 4 years ago
• haebeom-lee / l2b
  Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)
  ☆101Updated 4 years ago
• orybkin / sigma-vae-pytorch
  A σ-VAE implementation in PyTorch
  ☆98Updated 3 years ago
• vlievin / biva-pytorch
  Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)
  ☆84Updated 2 years ago
• pclucas14 / iaf-vae
  Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow"
  ☆82Updated 5 years ago