Before I put anything on this file, I want to express my gratitude to all the professors and lecturers for making these courses accessible to the general public.
- Programming
- Mathematics
- Computer Vision
- Deep Learning and Reinforcement Learning
- Probabilistic Robobics and Planning
- Controls
- Books
C++ programming | |
Python programming | |
Course hosted on youtube | |
Course offered by universities | |
Course with video lectures | |
Courses offered by MOOC sites |
- Modern C++ Course For Computer Vision
- CS106B - Programming Abstractions
- CS106X - Programming Abstractions
- The lectures for the above course is on youtube and you won't find it on the course site.
- Foundations of Computer Science
- Learn Matlab programming with example applications
- FiveMinuteStats
- Practical Optimization: a Gentle Introduction
- Information Retrieval
- The Matrix Calculus You Need For Deep Learning
- CS 274 - Computational Geometry
- Statistics 110: Probability
- A First course on Linear Algebra
- CS231A - Computer Vision, From 3D Reconstruction to Recognition
- COMP 558 - Fundamentals of Computer Vision
- COMP 546 - Computational Perception
- CIS580 - Machine Perception
- Visual Perception for Autonomous Driving
- First Principles of Computer Vision
- CS 285 - Deep Reinforcement Learning
- CS444 Artificial Inteligence, James Madison University
- Deep Unsupervised Learning
- Efficient Route Planning
- Introduction to Aerial Robotics
- CS 333: Safe and Interactive Robotics
- F1TENTH - Autonomous systems
- CS354 Autonomous Robotics, James Madison University
- CS336: Robot Perception and Decision-Making
- Principles of Robot Autonomy I
- Principles of Robot Autonomy II
- CS 326 - Topics in Advanced Robotic Manipulation
- ME495 Sensing, Navigation, and Machine Learing for Robotics
- CS 287: Advanced Robotics