Islam A. Ali
PhD Student, Computing Science
This is a collection of links in a wide spectrum of topics that I find useful in general. They cover theory, application, implementation, among other aspects of computer vision and robotics research and development. This is a non-exhaustive list and is changed periodically.
U of A Resources
- U of A - CS Department
- U of A - Bear Tracks
- U of A - CS Web Apps
- U of A - Online courses on Coursera
Computer Vision
- Computer Vision: Algorithms and Applications, by: Richard Szeliski, Electronic Draft
- Awesome Deep Vision
- OpenCV 4.x Cheat Sheet (Python Version)
Robotics
- ROS Cheat Sheet
- ROS Robot Programming, A Handbook is written by TurtleBot3 Developers
- QUT Robot Academy
- Setup of PCL+OpenCV on Visual Studio Guide
Machine Learning / Deep Learning
- Machine Learning From Scratch
- A Brief Introduction to Machine Learning for Engineers
- Deep Learning: Ian Goodfellow, Yoshua Bengio, and Aaron Courville
- Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Big Data
Algorithms / Data Structures
- Dictionary of Algorithms and Data Structures
- The Algorithm Design Manual: Steven Skiena
- Algorithms and Data Structures Cheat sheet
- Big-O Cheat Sheet: Know Thy Complexities!
- VisuAlgo: visualising data structures and algorithms through animation
Mathematics
Mechanics / Mechatronics
- Five Hundred and Seven Mechanical Movements
- Mechanisms and Mechanical Devices Sourcebook: Neil Sclater
General
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