A full-featured Ruby statistics library with assumption verification

RubyNEAT -- Neural Evolution of Augmenting Topologies for Ruby. By way of an enhanced form of Genetic Algorithms -- the NEAT algorithm, populations of neural nets are evolved to handle pre-defined goals. RubyNEAT is the first implementation of the NEAT algorithm for Ruby, and it leverages Ruby's power to implement the NEAT algorithm in a way that would be difficult to do in other languages. The 'activation function' is largely standalone. Basically, activation is achieved by functional programming. Meaning, once your network is evolved, you can extract it as source code you can then utilize without the RubyNEAT engine. RubyNEAT can be used for nearly any Machine Learning task you can dream of, because it's also extensible and modular. See http://rubyneat.com for the details.

ruby_rtl is a simple DSL for HW(RTL) design

sexpir is a sexp-based interchange format for RTL design

A suite for basic and advanced statistics on Ruby

Perform user experiments and A/B tests in your rails apps

Non-parametric test for assessing whether two independent samples of observations come from the same distribution. Extracted from StatSample (https://github.com/sciruby/statsample)