Alternatives and similar repositories for gmn

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

• insperatum / vhe
  The Variational Homoencoder: Learning to learn high capacity generative models from few examples
  ☆34Updated 2 years ago
• TalkToTheGAN / REGAN
  ReGAN: Sequence GAN using RE[INFORCE|LAX|BAR] based PG estimators
  ☆41Updated 7 years ago
• wlwkgus / GibbsNet
  Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch
  ☆57Updated 7 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…
  ☆72Updated 7 years ago
• renmengye / meta-optim-public
  Understanding Short-Horizon Bias in Stochastic Meta-Optimization
  ☆37Updated 7 years ago
• gyglim / dvn
  Reference implementation for Structured Prediction with Deep Value Networks
  ☆55Updated 8 years ago
• sungraepark / Adversarial-Dropout
  ☆32Updated 6 years ago
• rdevon / BGAN
  boundary-seeking generative adversarial networks
  ☆46Updated 7 years ago
• Cyanogenoid / perm-optim
  [ICLR 2019] Learning Representations of Sets through Optimized Permutations
  ☆36Updated 6 years ago
• wlwkgus / NoisyNaturalGradient
  Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"
  ☆121Updated 6 years ago
• brain-research / long-term-video-prediction-without-supervision
  Implementation of Hierarchical Long-term Video Prediction without Supervision
  ☆89Updated 3 years ago
• ermongroup / markov-chain-gan
  Code for "Generative Adversarial Training for Markov Chains" (ICLR 2017 Workshop)
  ☆80Updated 7 years ago
• google / joint_vae
  Code to build VAE models that are jointly conditioned.
  ☆36Updated 7 years ago
• zihangdai / cegan_iclr2017
  Code release for the paper "Calibrating Energy-based Generative Adversarial Networks"
  ☆24Updated 7 years ago
• artix41 / AVO-pytorch
  Implementation of Adversarial Variational Optimization in PyTorch
  ☆43Updated 7 years ago
• iDurugkar / GMAN
  GANs with multiple Discriminators
  ☆78Updated 2 years ago
• DartML / SteinGAN
  code for steinGAN - Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning
  ☆27Updated 6 years ago
• rhaps0dy / convnets-as-gps
  Code for "Deep Convolutional Networks as shallow Gaussian Processes"
  ☆39Updated 6 years ago
• msobroza / SparsemaxPytorch
  SparseMax activation function implementation (ICML 2016) (PyTorch)
  ☆28Updated 7 years ago
• lrjconan / RBP
  Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018
  ☆42Updated 6 years ago
• sjoerdvansteenkiste / Neural-EM
  Code for the "Neural Expectation Maximization" paper.
  ☆126Updated 2 years ago
• moskomule / shampoo.pytorch
  An implementation of shampoo
  ☆77Updated 7 years ago
• JACKHAHA363 / VQVAE
  a replicate of https://arxiv.org/pdf/1711.00937.pdf
  ☆16Updated 7 years ago
• ChunyuanLI / ALICE
  NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching
  ☆82Updated 6 years ago
• Smerity / search_iclr_2018
  ☆79Updated 7 years ago
• biuyq / CT-GAN
  ☆48Updated 7 years ago
• ermongroup / Generalized-PixelVAE
  PixelVAE with or without regularization
  ☆66Updated 8 years ago
• sordonia / zforcing
  ZForcing Repo
  ☆40Updated 7 years ago
• sanghoon / prediction_gan
  PyTorch Impl. of Prediction Optimizer (to stabilize GAN training)
  ☆31Updated 7 years ago
• asteroidhouse / self-tuning-networks
  Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088
  ☆53Updated 6 years ago