rlabbe/statistical-rethinking

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rlabbe/statistical-rethinking

rlabbe

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Notebooks containing R code from Richard McElreath's Statistical Rethinking

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.

Jupyter Notebook

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'.

tutorials

tutorials that may or may not turn into a book

Jupyter Notebook

numpy-cookbook

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

kruschke

Notebooks in support of Kruschke's Doing Bayesian Analysis

Jupyter Notebook

dual_numbers

Implementation of dual numbers

neural

Just some ipython notebooks to help me learn neural nets.

booktest

backtracking

C++ templated code for backtracking algorithm

zarchan