Roger Labbe

Kalman-and-Bayesian-Filters-in-Python. 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 filters, and more. All exercises include solutions.

filterpy. Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.

ThinkBayes. Jupyter Notebooks derived from Allen Downey's book Think Bayes.

Python-for-Signal-Processing. Notebooks for "Python for Signal Processing" book

statistical-rethinking. Notebooks containing R code from Richard McElreath's Statistical Rethinking

tutorials. tutorials that may or may not turn into a book

kruschke. Notebooks in support of Kruschke's Doing Bayesian Analysis

numpy-cookbook. Collection of IPython Notebooks explaining various features of numpy and scipy.

dual_numbers. Implementation of dual numbers

numerical-mooc. A collaborative educational initiative in computational science and engineering.

ThinkBayes2. Text and code for the second edition of Think Bayes, by Allen Downey.

neural. Just some ipython notebooks to help me learn neural nets.

zarchan. Python

booktest. foo

MusicReader. Sheet Music PDF Viewer

backtracking. C++ templated code for backtracking algorithm

nbconvert. Jupyter Notebook Conversion

opencv. Open Source Computer Vision Library