https://github.com/hhhhhhao/papers

Reproduction of the interesting deep learning papers
https://github.com/hhhhhhao/papers

convolutional-neural-networks deep-learning deep-neural-networks generative-adversarial-network machine-learning

Last synced: 22 days ago
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Reproduction of the interesting deep learning papers

• Host: GitHub
• URL: https://github.com/hhhhhhao/papers
• Owner: Hhhhhhao
• License: gpl-3.0
• Created: 2018-07-24T19:36:36.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2018-11-04T15:31:31.000Z (about 6 years ago)
• Last Synced: 2024-12-05T17:34:06.393Z (about 1 month ago)
• Topics: convolutional-neural-networks, deep-learning, deep-neural-networks, generative-adversarial-network, machine-learning
• Language: Python
• Size: 31.1 MB
• Stars: 2
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# Deep Learning papers

## Deep Learning papers Implementation in Keras

Collection of implementation of deep learning papers in Keras, espeicially CNN, GAN papers.

Thanks for the inspiration from: [Keras-GAN](https://github.com/eriklindernoren/Keras-GAN#gan)

## Requirements

- Keras >= 2.1.0

- Tensorflow >= 1.8.0

- numpy

- matplotlib

- seaborn

## Table of Contents

* Implementations

  + [Generative Adversarial Nets](GAN)

  + [Deep Convolutional Generative Adversarial Networks](DCGAN)

  + [Self-Attention Generative Adversarial Networks](SAGAN)

  + [ImageNet Classification with Deep Convolutional Neural Networks](AlexNet)