Variational Convolutional Networks for Human-Centric Annotations
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Updated
Nov 22, 2016 - Jupyter Notebook
Variational Convolutional Networks for Human-Centric Annotations
The SimNets Architecture's Implementation in Caffe
Handwriting generation by RNN with TensorFlow, based on "Generating Sequences With Recurrent Neural Networks" by Alex Graves
Code for the paper "Improving Variational Auto-Encoders using Householder Flow" (https://arxiv.org/abs/1611.09630)
Style transfer using deep convolutional neural nets
Repository to explore Generative Models
A simple variational autoencoder to generate images from MNIST. Implemented in TensorFlow.
A curated list of awesome papers, tutorials, videos, conferences, libraries, software about generative models.
Collection of Generative models in TensorFlow
Adversarially Learned Inference in Pytorch
Generative Adversarial Networks for the MNIST dataset
Variational Auto Encoder
Stacked Generative Adversarial Networks
simple GAN for mnist using keras
Anime Generation
PixelVAE with or without regularization
Generative Models for Image Captioning
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