Peter Schulam's starred repositories
tufte-latex
A Tufte-inspired LaTeX class for producing handouts, papers, and books
emacs-ipython-notebook
Jupyter notebook client in Emacs
simple_spearmint
Spearmint, without the gum
python-fire
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
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'.
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.
PatientLevelPrediction
An R package for performing patient level prediction in an observational database in the OMOP Common Data Model.
statsmodels
Statsmodels: statistical modeling and econometrics in Python
scikit-learn
scikit-learn: machine learning in Python
emacs-starter-kit
NO LONGER MAINTAINED! A drop-in starter-kit for Emacs 24, aimed at social scientists researching and writing in plain text using some combination of LaTeX, R, ESS, Git, Markdown, and Org-Mode.
Sublime-IJulia
An IJulia Frontend for Sublime Text 3
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
minimal-scala-with-maven
Minimal environment to do Scala development with maven.
ngram-complete-dist
ngram completer
machine-learning-module
the best machine learning tutorials on the web