eyalzk / sketch_rnn_keras

Related projects: ⓘ

• AlexiaJM / MaximumMarginGANs
  Code for paper: "Support Vector Machines, Wasserstein's distance and gradient-penalty GANs maximize a margin"
  ☆180Updated 4 years ago
• lilianweng / unified-gan-tensorflow
  A Tensorflow implementation of GAN, WGAN and WGAN with gradient penalty.
  ☆115Updated 6 years ago
• brain-research / acai
  Code for "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"
  ☆242Updated 6 years ago
• taki0112 / RAdam-Tensorflow
  Simple Tensorflow implementation of "On The Variance Of The Adaptive Learning Rate And Beyond"
  ☆97Updated 4 years ago
• noahfl / sdr-densenet-pytorch
  ☆105Updated this week
• jhui / deep_learning
  ☆88Updated last year
• titu1994 / tf-eager-examples
  A set of simple examples ported from PyTorch for Tensorflow Eager Execution
  ☆73Updated 6 years ago
• kuleshov / tf-wgan
  Wasserstein DCGAN in Tensorflow/Keras
  ☆93Updated 7 years ago
• shibuiwilliam / Keras_Autoencoder
  Autoencoders using Keras
  ☆77Updated 6 years ago
• yzwxx / vae-celebA
  Variational auto-encoder trained on celebA . All rights reserved.
  ☆180Updated 6 years ago
• kristpapadopoulos / keras-stochastic-weight-averaging
  Keras callback function for stochastic weight averaging
  ☆55Updated 2 years ago
• tolstikhin / adagan
  AdaGAN: greedy iterative procedure to train mixtures of GANs
  ☆76Updated 6 years ago
• sdoria / SimpleSelfAttention
  A simpler version of the self-attention layer from SAGAN, and some image classification results.
  ☆210Updated 5 years ago
• sthalles / blog-resources
  This repo will contain the resources available in my blog for learning
  ☆92Updated 6 years ago
• ReyhaneAskari / pytorch_experiments
  Auto Encoders in PyTorch
  ☆64Updated 6 years ago
• Vooban / Hyperopt-Keras-CNN-CIFAR-100
  Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another c…
  ☆144Updated last year
• chrisdonahue / sdgan
  Official implementation of "Semantically Decomposing the Latent Spaces of Generative Adversarial Networks"
  ☆95Updated 6 years ago
• titu1994 / keras-adabound
  Keras implementation of AdaBound
  ☆130Updated 4 years ago
• gusgad / capsule-GAN
  Code for my Master thesis on "Capsule Architecture as a Discriminator in Generative Adversarial Networks".
  ☆127Updated last year
• chaitanya100100 / VAE-for-Image-Generation
  Implemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR1…
  ☆120Updated 5 years ago
• timsainb / GAIA
  Generative Adversarial Interpolative Autoencoder (GAIA) is a Generative Adversarial Network (GAN) made up of Autoencoders (AE) trained ex…
  ☆77Updated 5 years ago
• lim0606 / pytorch-geometric-gan
  Code accompanying the paper "Geometric GAN"
  ☆57Updated 7 years ago
• napsternxg / pytorch-practice
  Some example scripts on pytorch
  ☆194Updated 2 years ago
• anitan0925 / vaegan
  An implementation of VAEGAN (variational autoencoder + generative adversarial network).
  ☆91Updated 7 years ago
• nicola-decao / s-vae-tf
  Tensorflow implementation of Hyperspherical Variational Auto-Encoders
  ☆224Updated 5 years ago
• hadikazemi / Machine-Learning
  ☆102Updated last year
• michaelrzhang / lookahead
  Implementation for the Lookahead Optimizer.
  ☆236Updated 2 years ago
• kgrm / NALU
  ☆126Updated this week
• anandsaha / pytorch.cyclic.learning.rate
  Using the CLR algorithm for training (https://arxiv.org/abs/1506.01186)
  ☆108Updated 6 years ago
• jonasz / progressive_infogan
  Progressive training of GANs with Mutual Information Penalty
  ☆187Updated 5 years ago