Deep Learning and stuff papers

This documentation aims to regroup and describe papers for various subjects in machine learning. This repository/documentation is done as part of my PhD, if you were to find a mistake or inaccuracy please let me know so I can correct it.

There are other very good repositories on github with the same aim of regrouping and/or explaining machine learning stuff, here is a list of the ones I found so far:

• Must Read This repository doesn't explain any of the paper, it makes a list of the must read articles in various subjects.

• Frameworks

• RoadMap

• Awesome Recurrent Neural Networks

• Awesome Deep Vision

Table of content:

• Image Classification
• Image Detection
• Image Segmentation
• Image Generation
• Natural Language Processing
• Reinforcement Learning
• Tracking
• Counting
• Scene Graph
• Knowing Your Network
• Flow Estimation
• Others
• Optimizers
• Datasets