Alternatives and similar repositories for GAN-Tutorial:

Users that are interested in GAN-Tutorial are comparing it to the libraries listed below

• Machine-Learning-Tokyo / Reinforcement_Learning
  Material for MLT Reinforcement Learning workshops and study sessions
  ☆51Updated 4 years ago
• AdeelMufti / SNcGAN
  Spectral Norm + Conditional GAN
  ☆24Updated 6 years ago
• AlexiaJM / MaximumMarginGANs
  Code for paper: "Support Vector Machines, Wasserstein's distance and gradient-penalty GANs maximize a margin"
  ☆178Updated 5 years ago
• taki0112 / RAdam-Tensorflow
  Simple Tensorflow implementation of "On The Variance Of The Adaptive Learning Rate And Beyond"
  ☆97Updated 4 years ago
• eyalzk / sketch_rnn_keras
  Keras implementation of Sketch RNN
  ☆145Updated 6 years ago
• divyanshj16 / SPADE
  "Semantic Image Synthesis with Spatially-Adaptive Normalization" paper implementation
  ☆70Updated 5 years ago
• titu1994 / keras_rectified_adam
  Implementation of Rectified Adam in Keras
  ☆69Updated 5 years ago
• mlberkeley / Meta-Learning-Worskhop
  ☆16Updated 6 years ago
• manicman1999 / Keras-BiGAN
  BiGAN implementation in Keras to detect similarities in Landscapes.
  ☆175Updated 5 years ago
• PacktPublishing / Mastering-PyTorch-for-Deep-Learning
  Mastering PyTorch for Deep Learning, Published by Packt
  ☆14Updated 4 years ago
• faizan2786 / nalu_implementation
  This repository is created to show the Neural Arithmetic Logic Unit implementation in python using Tensorflow. The code in this repo comp…
  ☆43Updated 6 years ago
• ivan-vasilev / advanced-deep-learning-with-python
  Advanced Deep Learning with Python
  ☆109Updated 3 years ago
• ceshine / tensorflow-crash-course
  For those who already have some basic idea about deep learning, and preferably are familiar with PyTorch.
  ☆47Updated 6 years ago
• ivannz / mlss2019-bayesian-deep-learning
  MLSS2019 Tutorial on Bayesian Deep Learning
  ☆92Updated 5 years ago
• Rachnog / disentanglment
  Experiments with beta-VAE to learn disentangled representations from the data
  ☆65Updated 5 years ago
• shaohua0116 / WGAN-GP-TensorFlow
  TensorFlow implementations of Wasserstein GAN with Gradient Penalty (WGAN-GP), Least Squares GAN (LSGAN), GANs with the hinge loss.
  ☆44Updated 5 years ago
• graykode / vision-tutorial
  Computer Vision Tutorial for Deep Learning Researchers
  ☆33Updated 5 years ago
• divamgupta / attention-translation-keras
  Attention based sequence to sequence neural machine translation model built in keras.
  ☆30Updated 6 years ago
• Tsdevendra1 / NEAT-Algorithm
  ☆50Updated 5 years ago
• timsainb / GAIA
  Generative Adversarial Interpolative Autoencoder (GAIA) is a Generative Adversarial Network (GAN) made up of Autoencoders (AE) trained ex…
  ☆78Updated 5 years ago
• mpstewart1 / Autoencoders
  ☆6Updated 4 years ago
• CyberZHG / keras-adabound
  AdaBound optimizer in Keras
  ☆56Updated 4 years ago
• mpatacchiola / Y-AE
  Official Tensorflow implementation of the paper "Y-Autoencoders: disentangling latent representations via sequential-encoding", Pattern R…
  ☆52Updated 4 years ago
• learning-luke / pytorch-experiments-template
  A pytorch based classification experiments template
  ☆46Updated 3 years ago
• hadrienj / Preprocessing-for-deep-learning
  This is the notebook associated with the blog post:
  ☆90Updated 5 years ago
• joosthub / pytorch-nlp-tutorial-ny2018
  PyTorch NLP tutorial, O'Reilly AI NYC 2018
  ☆25Updated 6 years ago
• AdeelMufti / DifferentiableNeuralComputer
  Optimized Differentiable Neural Computer In Chainer
  ☆23Updated 6 years ago
• LynnHo / VAE-Tensorflow
  (beta-)VAE Tensorflow
  ☆50Updated 6 years ago
• vkakerbeck / Progressively-Growing-Networks
  Experiments on different dataset on how to grow networks during training to learn new image categories.
  ☆62Updated 4 years ago
• lilianweng / unified-gan-tensorflow
  A Tensorflow implementation of GAN, WGAN and WGAN with gradient penalty.
  ☆116Updated 6 years ago