A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

Minimal self-contained examples of standard Kubernetes features and patterns in YAML

The Open Source Data Science Masters

Snapshot of North Korea's DNS data taken from zone transfers.

BayesDB on SQLite. A Bayesian database table for querying the probable implications of data as easily as SQL databases query the data itself.

Resumes generated using the GitHub informations

A small library for generalized transformation of data (inspired by Clojure's transducers)

A custom element for flexible GIF playback

Rich, flexible, smart data in Ruby

SHell In Ruby? Totally!

Systems Modeling

Asset Packaging for Non-Rails Projects

Decision Support in Ruby

This is the hello world for Ubalo Pods

Belief Networks for Fathom

A simple Rails and Backbone.js application. Follow the tutorial here: http://www.jamesyu.org/2011/01/27/cloudedit-a-backbone-js-tutorial-by-example/

An insane integration of RDF in to ECMAScript-262 V5 (Javascript)

Simple RDF stack for Ruby and SQLite3 using RDF.rb, Spira and ActiveModel

ruby interactive print loop - A light, modular alternative to irb

A metadistribution of RDF.rb including all parsing/serialization plugins.

State machine extracted from ActiveModel

Simple triples storage for projects too small to install an RDF database.

Practical demonstrations of machine learning with open source tools for my presentation at UTOSC 2009

Appends configuration to files

A generic recomendation tool using correlation matrices to generate k nearest neighbors.

A basic ETL utility to make extract, transform, and load projects simpler, logged, and sharable

Data Frames in Ruby with memoized transposes and easy CSV support

Extracted statistical methods from other gems that work well on an Enumerable

A KMeans algorithm consistent with the goals of TeguGears and Tegu in general.