Pinned Repositories
dual_numbers
Implementation of dual numbers
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'.
gitignore
CLI tool to add files to .gitignore
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.
numpy-cookbook
Collection of IPython Notebooks explaining various features of numpy and scipy.
Python-for-Signal-Processing
Notebooks for "Python for Signal Processing" book
statistical-rethinking
Notebooks containing R code from Richard McElreath's Statistical Rethinking
ThinkBayes
Jupyter Notebooks derived from Allen Downey's book Think Bayes.
tutorials
tutorials that may or may not turn into a book
rlabbe's Repositories
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.
rlabbe/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'.
rlabbe/ThinkBayes
Jupyter Notebooks derived from Allen Downey's book Think Bayes.
rlabbe/Python-for-Signal-Processing
Notebooks for "Python for Signal Processing" book
rlabbe/statistical-rethinking
Notebooks containing R code from Richard McElreath's Statistical Rethinking
rlabbe/tutorials
tutorials that may or may not turn into a book
rlabbe/numpy-cookbook
Collection of IPython Notebooks explaining various features of numpy and scipy.
rlabbe/kruschke
Notebooks in support of Kruschke's Doing Bayesian Analysis
rlabbe/dual_numbers
Implementation of dual numbers
rlabbe/numerical-mooc
A collaborative educational initiative in computational science and engineering.
rlabbe/neural
Just some ipython notebooks to help me learn neural nets.
rlabbe/ThinkBayes2
Text and code for the second edition of Think Bayes, by Allen Downey.
rlabbe/backtracking
C++ templated code for backtracking algorithm
rlabbe/booktest
foo
rlabbe/zarchan
rlabbe/nbconvert
Jupyter Notebook Conversion
rlabbe/opencv
Open Source Computer Vision Library
rlabbe/gitignore
CLI tool to add files to .gitignore
rlabbe/artisan
artisan: visual scope for coffee roasters
rlabbe/chromehistory-ext
Chrome V3 extension that blocks named websites from being added to chrome's history.
rlabbe/coursera-ren
Rename directories and filenames for Coursera courses with exceedingly long (for Windows) names.
rlabbe/dotfiles
dot files for my linux profiles.
rlabbe/kalman-book-sagemath-install
rlabbe/MSFS2020-cockpit-companion
Web wrapper for reading and writing data from Microsoft Flight Simulator 2020/2024
rlabbe/nbviewer
Nbconvert as a webservice (rendering ipynb to static HTML)
rlabbe/page_dewarp
Text page dewarping using a "cubic sheet" model
rlabbe/rlabbe.github.io
rlabbe/Sensors
rlabbe/Useful-files
Moving files to github