Alternatives and similar repositories for GAN-Tutorial

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

• titu1994 / keras_rectified_adam
  Implementation of Rectified Adam in Keras
  ☆70Updated 6 years ago
• AlexiaJM / MaximumMarginGANs
  Code for paper: "Support Vector Machines, Wasserstein's distance and gradient-penalty GANs maximize a margin"
  ☆179Updated 5 years ago
• Machine-Learning-Tokyo / Reinforcement_Learning
  Material for MLT Reinforcement Learning workshops and study sessions
  ☆51Updated 5 years ago
• mlberkeley / Meta-Learning-Worskhop
  ☆16Updated 7 years ago
• taki0112 / RAdam-Tensorflow
  Simple Tensorflow implementation of "On The Variance Of The Adaptive Learning Rate And Beyond"
  ☆97Updated 5 years ago
• david-abel / icml_2019
  Notes for ICML 2019
  ☆38Updated 6 years ago
• eyalzk / sketch_rnn_keras
  Keras implementation of Sketch RNN
  ☆145Updated 6 years ago
• mxbi / kaggledays-paris
  Winning Solution to the Kaggle Days Paris offline competition
  ☆63Updated 6 years ago
• CyberZHG / keras-adabound
  AdaBound optimizer in Keras
  ☆56Updated 5 years ago
• xbresson / CE7454_2018
  Deep learning course CE7454, 2018
  ☆79Updated 6 years ago
• manicman1999 / Keras-BiGAN
  BiGAN implementation in Keras to detect similarities in Landscapes.
  ☆174Updated 6 years ago
• learning-luke / pytorch-experiments-template
  A pytorch based classification experiments template
  ☆47Updated 4 years ago
• PacktPublishing / Mastering-PyTorch-for-Deep-Learning
  Mastering PyTorch for Deep Learning, Published by Packt
  ☆15Updated 4 years ago
• Tsdevendra1 / NEAT-Algorithm
  ☆50Updated 6 years ago
• jamesdellinger / fastai_deep_learning_course_part2_v3
  My projects for fast.ai's Deep Learning from the Foundations course (fast.ai part2v3)
  ☆39Updated 6 years ago
• titu1994 / tf-eager-examples
  A set of simple examples ported from PyTorch for Tensorflow Eager Execution
  ☆73Updated 7 years ago
• ceshine / tensorflow-crash-course
  For those who already have some basic idea about deep learning, and preferably are familiar with PyTorch.
  ☆47Updated 7 years ago
• zaidalyafeai / AttentioNN
  All about attention in neural networks. Soft attention, attention maps, local and global attention and multi-head attention.
  ☆234Updated 5 years ago
• GauravBh1010tt / DL-Seq2Seq
  Implementation of papers on Deep Seq2seq learning using Pytorch.
  ☆218Updated 6 years ago
• mpatacchiola / Y-AE
  Official Tensorflow implementation of the paper "Y-Autoencoders: disentangling latent representations via sequential-encoding", Pattern R…
  ☆50Updated 5 years ago
• contentinnovation / NeurIPS-2018-papers
  Machine-generated summaries and highlights of the every accepted paper at Thirty-second Conference on Neural Information Processing Syste…
  ☆71Updated 7 years ago
• Rachnog / disentanglment
  Experiments with beta-VAE to learn disentangled representations from the data
  ☆65Updated 6 years ago
• ivan-vasilev / advanced-deep-learning-with-python
  Advanced Deep Learning with Python
  ☆111Updated 4 years ago
• jalola / compare-tensorflow-pytorch
  Compare outputs between layers written in Tensorflow and layers written in Pytorch
  ☆72Updated 7 years ago
• jkoutsikakis / pytorch-wrapper
  Provides a systematic and extensible way to build, train, evaluate, and tune deep learning models using PyTorch.
  ☆95Updated last year
• joosthub / pytorch-nlp-tutorial-ny2018
  PyTorch NLP tutorial, O'Reilly AI NYC 2018
  ☆25Updated 7 years ago
• uber-research / loss-change-allocation
  ☆61Updated 2 years ago
• fediazgon / pbt-keras
  Population Based Training of Neural Network implemented in Keras
  ☆35Updated 2 years ago
• Atcold / SP19-DL-collaborative-notes
  Collaborative lecture notes for Spring '19 NYU DL class
  ☆118Updated 5 years ago
• Machine-Learning-Tokyo / Intro-to-GANs
  This code was developed for the Intro to GANs workshop for Machine Learning Tokyo (MLT).
  ☆67Updated 6 years ago