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swae

Implementation of the Sliced Wasserstein Autoencoders

swd

unsupervised video and image generation

tensorflow-tutorials

TensorFlow Tutorials with YouTube Videos

tensorflow_poems

中文古诗自动作诗机器人，屌炸天，基于tensorflow1.4 api，正在积极维护升级中，快star，保持更新！

textflow

the-personal-organiser

An application can be used for personal organiser

the-puzzle-tantrix

A game based on the puzzle Tantrix

training-progress-email-notifier

This software automatically sends you emails to notify you of the latest progress of your deep learning programs.

ttur

Two time-scale update rule for training GANs

tutorials

twostagevae

vade

Python code for paper - Variational Deep Embedding : A Generative Approach to Clustering

vae-celeba

Variational auto-encoder trained on celebA . All rights reserved.

vae-for-image-generation

Implemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR10 datasets

vae-gan-tensorflow

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

vae-gmvae

This repository contains the implementation of the VAE and Gaussian Mixture VAE using TensorFlow and several network architectures

vaegan-pytorch

VAEGAN from "Autoencoding beyond pixels using a learned similarity metric" implemented in Pytorch. Clean, clear and with comments.

variational-autoencoder-pytorch

Variational Autoencoder implemented with PyTorch, Trained over CelebA Dataset

vid2vid

Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.

vunet

A generative model conditioned on shape and appearance.

wae

Wasserstein Auto-Encoders

wae-1

ift6135 final project

wasserstein-auto-encoders

Contains code relating to this arxiv paper https://arxiv.org/abs/1802.03761

wasserstein_autoencoders

PyTorch implementation of Wasserstein Auto-Encoders

wmd

Word Mover's Distance from Matthew J Kusner's paper "From Word Embeddings to Document Distances"

wordcloud

利用python制作中文词云