Proper related posts plugin for Jekyll - uses document correlation matrix on TF-IDF (optionally with Latent Semantic Indexing). Each document is tokenized and stemmed, every word found is treated as keyword for analysis (except for some stop words). TF-IDF matrix for the whole site is calculated (including extra provided weights), then if given accuraccy is lower than 1.0, LSI algorithm is used to compute new simplified vector space. Document correlation matrix is created using dot product of the matrix and its transpose. For each of the post' related documents are inserted into priority queue (sorted by score from document correlation matrix), assuming the score is greater than minimal required score. Selected few bests related posts are retrieven from the queue. Liquid template for each post is rendered and <related-posts /> is replaced with the outcomes of algorithm.

Fit statistical (linear) models with fixed and mixed (random) effects in Ruby

RandSVD is a class that performs truncated singular value decomposition using a randomized algorithm.

A toolbox of numerical differential equation solvers written in pure Ruby. Currently there are multiple methods available to solve initial value ODEs (Dormand-Prince, Forward Euler, 2nd order Adams-Bashforth), boundary value ODEs (Linear Finite Element Galerkin), 2D Poisson's equation (5-point Laplacian), and the 1D advection equation (Upwind, Lax-Friedrichs, Leapfrog, Lax-Wendroff).