Digests » 25

ai

Key Papers in Deep RL

What follows is a list of papers in deep RL that are worth reading. This is far from comprehensive, but should provide a useful starting point for someone looking to do research in the field.

Dehaze images with Generative Adversarial Network

This repository contains TensorFlow code for the paper titled Single Image Haze Removal using a Generative Adversarial Network.

Colorise old images with AI

Simply put, the mission of this project is to colorize and restore old images. I'll get into the details in a bit, but first let's get to the pictures! BTW – most of these source images originally came from the r/TheWayWeWere subreddit, so credit to them for finding such great photos.

The Machine Learning Cheatsheet

Lately, I spent some time on various data science projects: predictive analysis, natural language processing, graph analysis, etc. Behind the scene, they all share the same machine learning algorithms. Of course, those models barely represent 10 lines of code in my notebooks, thanks to the wonderful open-source libraries accessible today.

Identifiable Images of Bystanders Extracted from Corneal Reflections

Cameras are routinely seized as evidence during criminal investigations [1]. Images of people retrieved from these cameras may be used to piece together networks of associates, or to link individuals to particular locations. In particular, it may be desirable to identify the photographer, or other individuals who were present at the scene but were not directly captured in the photograph.