yunjey

PerceptualSimilarity

LPIPS metric. pip install lpips

PerceptualGAN

Pytorch implementation of Image Manipulation with Perceptual Discriminators paper

FIGR-8

Few-shot Image Generation with Reptile: the dataset

google-images-download

Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!

AutoCrawler

Google, Naver multiprocess image web crawler (Selenium)

GAN_stability

Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"

RelativisticGAN

Code for replication of the paper "The relativistic discriminator: a key element missing from standard GAN"

progressive_infogan

Progressive training of GANs with Mutual Information Penalty

Tutorial-Competition-2018

PyTorch KR Tutorial Competition 2018

onedrive-sdk-python

OneDrive SDK for Python! https://dev.onedrive.com

deep-learning-notes

Experiments with Deep Learning

DRIT

Learning diverse image-to-image translation from unpaired data

MUNIT

Multimodal Unsupervised Image-to-Image Translation

n3net

Neural Nearest Neighbors Networks (NIPS*2018)

TTUR

Two time-scale update rule for training GANs

pytorch-fid

Compute FID scores with PyTorch.

mememoji

A facial expression classification system that recognizes 6 basic emotions: happy, sad, surprise, fear, anger and neutral.

image-to-image-papers

🦓<->🦒 🌃<->🌆 A collection of image to image papers with code (constantly updating)

inception-score-pytorch

Inception Score for GANs in Pytorch

self-attention-gan

neural_best_buddies

An algorithm for sparse semantic correspondence between images of different categories [SIGGRAPH 2018]

numerical-linear-algebra

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

pwc

This repository is no longer maintained.

StarGAN-Tensorflow

Simple Tensorflow implementation of StarGAN (CVPR 2018 Oral)

Text2Colors

Code for "Coloring with Words: Guiding Image Colorization through Text-based Palette Generation" - ECCV 2018

pytorch-made

MADE (Masked Autoencoder Density Estimation) implementation in PyTorch

progressive_growing_of_gans

Progressive Growing of GANs for Improved Quality, Stability, and Variation

PyTorch-progressive_growing_of_gans

PyTorch implementation of Progressive Growing of GANs for Improved Quality, Stability, and Variation.

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

Augmentor

Image augmentation library in Python for machine learning.