Initiative by IvLabs to share field-wise learning resources. Here you will find all the courses and online materials which are being followed by IvLabs members. These resources have been carefully handpicked to provide the best knowledge. If you like the repo, please star. This motivates us to update the repo frequently.
Table of content
Please click on following link to see the more info about the specific topic
- Computer Vision
- Control Theory
- Deep Learning
- Embedded Systems
- Internet of Things-IoT
- Mathematics
- Motion Planning
- Natural Language Processing
- Physics
- Programming Languages
- Reinforcement Learning
- State Estimation, Localization and SLAM
To keep yourself updated with the field we highly recommend you listen to Podcasts, read subreddit (eg r/MachineLearning), follow Professors on Twitter, go through proceedings of top conferences. Alongside with doing courses you should also have a good grip with Linux OS and be proficient in programming. Click on following links to see the compilation done by IvLabs members.
NOTE: Some of the topics are not yet completed. The repo will be updated soon.
Please read CONTRIBUTING.md for contribution guidelines. Contributions will not be accepted if they dont follow these guidelines