《机器学习》（西瓜书）公式详解

Autoencoding beyond pixels using a learned similarity metric by Larsen et al. (https://arxiv.org/abs/1512.09300)

Implementation of Adversarial Autoencoder in Keras

A pytorch implementation of Paper "IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis"

PyTorch implementation of Super SloMo by Jiang et al.

Python - 100天从新手到大师

Kerasを使ってVGG16モデルを元にFine-tuning

Tensorflow implementation of adversarial auto-encoder for MNIST

Chainer implementation of adversarial autoencoder (AAE)

A python wrapper for Barnes-Hut tsne

Conditional Autoencoders with Adversarial Information Factorization

Convolutional Neural Network for Text Classification in Tensorflow

Generative image model with learned similarity measures

Tensorflow code of "autoencoding beyond pixels using a learned similarity metric"

Models and examples built with TensorFlow

Collection of generative models in Pytorch version.

Collection of generative models in Tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

GoMNIST is a Go driver for reading Yann LeCun's MNIST dataset of handwritten digits