suga93 / pixelcnn_keras

Related projects: ⓘ

• mailmahee / pytorch-generative-adversarial-networks
  simple generative adversarial network (GAN) using PyTorch
  ☆32Updated 7 years ago
• DLHacks / SRU
  The Statistical Recurrent Unit in Pytorch
  ☆33Updated 7 years ago
• ml-lab / auxiliary-deep-generative-models
  Implementation of auxiliary deep generative models for semi-supervised learning
  ☆28Updated 8 years ago
• clvrai / Generative-Latent-Optimization-Tensorflow
  Tensorflow implementation of Generative Latent Optimization (GLO) proposed by Facebook AI Research
  ☆96Updated 7 years ago
• MaestroGraph / sparse-hyper
  Code for the paper "Learning sparse transformations through backpropagation"
  ☆42Updated 4 years ago
• ajbrock / BoilerPlate
  Odds and Ends and Things I've implemented.
  ☆78Updated 5 years ago
• ermongroup / Generalized-PixelVAE
  PixelVAE with or without regularization
  ☆66Updated 7 years ago
• Near32 / PYTORCH_VAE
  Disentangled Variational AutoEncoder with PyTorch
  ☆29Updated 5 years ago
• rdevon / BGAN
  boundary-seeking generative adversarial networks
  ☆46Updated 6 years ago
• YingzhenLi / Dropout_BBalpha
  Implementations of the ICML 2017 paper (with Yarin Gal)
  ☆39Updated 6 years ago
• berleon / deepdecoder
  ☆50Updated last year
• bioinf-jku / coulomb_gan
  Implementation of Coulomb GANs
  ☆62Updated 3 years ago
• diux-dev / ncluster
  ☆36Updated 5 years ago
• ermongroup / Sequential-Variational-Autoencoder
  Implementation of Sequential Variational Autoencoder
  ☆84Updated 7 years ago
• unixpickle / vq-draw
  A discrete sequential VAE
  ☆38Updated 4 years ago
• hjweide / adversarial-autoencoder
  A Lasagne and Theano implementation of the paper Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, and Ian Goodfellow.
  ☆41Updated 8 years ago
• jaesik817 / programmable-agents_tensorflow
  Tensorflow Implementation of Programmable Agents
  ☆36Updated 6 years ago
• aleju / gan-error-avoidance
  Learning to Avoid Errors in GANs by Input Space Manipulation (Code for paper)
  ☆23Updated 7 years ago
• baldassarreFe / zalando-pytorch
  Various experiments on the [Fashion-MNIST](https://github.com/zalandoresearch/fashion-mnist) dataset from Zalando
  ☆31Updated 6 years ago
• neuralix / google_evolution
  ☆53Updated 7 years ago
• DeNeutoy / bayesian-rnn
  ☆62Updated 7 years ago
• rdipietro / mist-rnns
  Mixed History Recurrent Neural Networks
  ☆46Updated 6 years ago
• pranv / ARC
  Code for Attentive Recurrent Comparators
  ☆57Updated 7 years ago
• RuiShu / tensorbayes
  Deep variational inference in tensorflow
  ☆56Updated 6 years ago
• jiamings / cramer-gan
  Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)
  ☆125Updated 6 years ago
• AdeelMufti / DifferentiableNeuralComputer
  Optimized Differentiable Neural Computer In Chainer
  ☆23Updated 6 years ago
• vzhong / chainer2pytorch
  ☆32Updated this week
• artix41 / AVO-pytorch
  Implementation of Adversarial Variational Optimization in PyTorch
  ☆43Updated 6 years ago
• edouardoyallon / scalingscattering
  ☆81Updated 6 years ago
• dannysdeng / selu
  A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)
  ☆59Updated 7 years ago