Yordanos Goshu's repositories
AdversarialVariationalBayes
This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks".
DAGAN
DAGAN: Data Augmentation Generative Adversarial Networks
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Generative-Latent-Optimization-Tensorflow
Tensorflow implementation of Generative Latent Optimization (GLO) proposed by Facebook AI Research
inception-score-pytorch
Inception Score for GANs in Pytorch
minimal
Minimal is a Jekyll theme for GitHub Pages
openrec
OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms
PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
pytorch-wgan
Pytorch implementation of DCGAN, WGAN-CP, WGAN-GP
tpu
Reference models and tools for Cloud TPUs.
variational-autoencoder
generate MNIST using a Variational Autoencoder
wgan-gp
A pytorch implementation of Paper "Improved Training of Wasserstein GANs"
ygoshu.github.io
This is the official website for Yordanos Goshu: https://ygoshu.github.io/