Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

18.06 course at MIT

Experimental code to read/write NumPy .NPY files in MATLAB

MIT-6.S094: Deep Learning for Self-Driving Cars Assignments solutions

Safe learning of regions of attraction in uncertain, nonlinear systems with Gaussian processes

📓 Python机器学习基础教程中文Notebook

Sampling-based Reachability Analysis: A Random Set Theory Approach with Adversarial Sampling

Simple codes for JAX in practice

吴恩达-深度学习-课后作业-答案与总结