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