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 ;)
git-stats
:four_leaf_clover: Local git statistics including GitHub-like contributions calendars.
boltons
Like builtins, but boltons. Constructs/recipes/snippets that would be handy in the standard library. Nothing like Michael Bolton.
edward
A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.
framework
Machine learning, computer vision, statistics and general scientific computing for .NET
miller
Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON
hackermath
Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way
datumbox-framework
Datumbox is an open-source Machine Learning framework written in Java which allows the rapid development of Machine Learning and Statistical applications.
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