Interesting Machine Learning Projects
Image translation without input-output pairs.
Style Transfer, Tensorflow
Give computer two pictures and it will redraw the first one with the style of the second one.
Fast Style Transfer Even faster, realtime Style Transfer
Multiple transfers at the same time, Paper and another fast style transfer
The original Style Transfer requires lots of computational resources, this is simpler but faster version.
OpenFace, face recognition with Deep Learning
Super Resolution using Deep Learning
From left to right, the first column is the 16x16 input image, the second one is what you would get from a standard bicubic interpolation, the third is the output generated by the neural net, and on the right is the ground truth.
Also, similar project subpixel and one more project.
Neural Face, generate faces with DCGAN
Generate Anime Faces with DCGAN
Online Demo.
Image Completion with TensorFlow
Computer restores the missing part of the picture.
Text to Image
Tell computer how flower should looks like and it will draw it.
Image to Text
Computer creating little stories about pictures.
Super Resolution
Image Super-Resolution for Anime-Style Art.
Neural Doodle / Texture Transfer
Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.) Video.
Score Selfie
Computer tells if selfie is good or bad. Sorted selfies on the picture below - good at the top bad at the bottom.
Generate description of an Image
There's also similar tool from Google.
Colorize Image
There's also another project doing the same
Super Mario, Neural Net and Genetic Algorithms
And, similar project with the code and explanation.
Also Flappy Bird and car racing
Smile Vector
Makes people smile, or removes smile.
Visual Question Answering
Interactive Image Generation via Generative Adversarial Networks
Find Images by Sketch
Image Translation
