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…

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

These are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.

Python and MATLAB code for linear algebra textbook.

A particle filter to localize a car using LIDAR data

Stereo disparity maps in Python using graph cuts

UCSD ECE 276A Winter 2020 Project 2: Particle Filter SLAM

Localization of a Mobile Robot using an Extended Kalman Filter by fusion of 2D LiDAR data with known associations and Odometry readings.