rlabbe

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

numpy-cookbook

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

kruschke

Notebooks in support of Kruschke's Doing Bayesian Analysis

dual_numbers

Implementation of dual numbers

numerical-mooc

A collaborative educational initiative in computational science and engineering.

neural

Just some ipython notebooks to help me learn neural nets.

ThinkBayes2

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

backtracking

C++ templated code for backtracking algorithm

booktest

foo

zarchan

nbconvert

Jupyter Notebook Conversion

opencv

Open Source Computer Vision Library

gitignore

CLI tool to add files to .gitignore

artisan

artisan: visual scope for coffee roasters

coursera-ren

Rename directories and filenames for Coursera courses with exceedingly long (for Windows) names.

dotfiles

dot files for my linux profiles.

kalman-book-sagemath-install

nbviewer

Nbconvert as a webservice (rendering ipynb to static HTML)

page_dewarp

Text page dewarping using a "cubic sheet" model

rlabbe.github.io

Sensors

Useful-files

Moving files to github