sabrinacales's Stars
jakevdp/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
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.
ipython/ipython
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
ShangtongZhang/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
astropy/astropy
Astronomy and astrophysics core library
AllenDowney/ThinkStats2
Text and supporting code for Think Stats, 2nd Edition
AllenDowney/ThinkDSP
Think DSP: Digital Signal Processing in Python, by Allen B. Downey.
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'.
AllenDowney/ThinkPython2
LaTeX source and supporting code for Think Python, 2nd edition, by Allen Downey.
AllenDowney/ThinkBayes
Code repository for Think Bayes.
AllenDowney/ThinkPython
Jupyter notebooks and other resources for Think Python by Allen Downey, published by O'Reilly Media.
AllenDowney/ModSimPy
Text and supporting code for Modeling and Simulation in Python
mimoralea/gdrl
Grokking Deep Reinforcement Learning
AllenDowney/ThinkComplexity2
Book and code for Think Complexity, 2nd edition
astropy/astroquery
Functions and classes to access online data resources. Maintainers: @keflavich and @bsipocz and @ceb8
MJeremy2017/reinforcement-learning-implementation
Reinforcement Learning examples implementation and explanation
AllenDowney/CompStats
Code for a workshop on statistical interference using computational methods in Python.
AllenDowney/ThinkComplexity
Code for Allen Downey's book Think Complexity, published by O'Reilly Media.
ftynse/cs373
Homework for Course cs373: Programming a Robotic Car
jakevdp/jakevdp.github.io
Pythonic Perambulations website. Source at http://github.com/jakevdp/jakevdp.github.io-source
jakevdp/website
My Personal Web Page: http://vanderplas.com
rldm/rldm_tutorials
Tutorials for the GA Tech OMSCS RLDM class.
soswow/Various-JS-and-Python
Some JS script for various projects
MarkDaoust/mvn
Multivariate Normal Distributions, in Python
uwescience/AstroData
Materials for the Astro Hack Week at University of Washington, September 2014
thinklarge/AnimatedRobot
This is the Git for my code that animated the robot for Udacity CS 373
fieldrogers/PSQ_Companions
PSQ_Companions
kdhiner/KAstroML
Kyle's AstroML coursework
pytaunay/bayes-computing-astro-data
Slides, examples, and exercises described in three classes during the 10th summer school in statistics for astronomers
taylorchasewhite/localization
Localization Visualization using particle filters