314rated

AdversarialNetsPapers

The classical papers and codes about generative adversarial nets

DeepHash-Papers

Must-read papers on deep learning to hash (DeepHash)

Delving-deep-into-GANs

A curated, quasi-exhaustive list of state-of-the-art publications and resources about Generative Adversarial Networks (GANs) and their applications.

document-classification-reuters21578

Classify documents on topics, using Reuters-21578 dataset.

GAN

Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN

GAN_Theories

Resources and Implementations of Generative Adversarial Nets which are focusing on how to stabilize training process and generate high quality images: DCGAN, WGAN, EBGAN, BEGAN, etc.

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

handong1587.github.io

Hash-Learning.github.io

Helper-Codes

Utility functions

image-captioning-with-semantic-attention

Image_Captioning_DL

Image Caption, Image Description, Text to Image, Video Captioning

Kaggle_actual

MMD-GAN

MMD-GAN: Towards Deeper Understanding of Moment Matching Network

notes

Notes of deep learning papers

pytorch_DAN

A implementation of Deep Adaptation Network with pytorch

really-awesome-gan

A list of papers on Generative Adversarial (Neural) Networks

tensorflow_cookbook

Code for Tensorflow Machine Learning Cookbook

Text_multi-class_multi-label_Classification

Reuters-21578 multi-class multi-label Classification with Keras

tf-rnn-attention

Tensorflow implementation of attention mechanism for text classification tasks.

yet-weka

just another weka