Projects sharing features with Libmir Mir

dstats

Scientific library for the D programming language

Modular and modern graph-theory algorithms framework in Java

Practical volume computation and sampling in high dimensions

Gonum is a numerical computing library for the Go programming language, providing a collection of packages for scientific computing, linear algebra, statistics, and optimization. It functions as a framework for performing complex numerical computations and solving systems of linear equations. The project includes a dedicated graph analysis framework for modeling network graphs and solving connectivity and pathfinding problems. It also provides a statistical analysis toolkit for computing descriptive and inferential statistics and estimating mixture entropy. The library's capability surface c

A repository for plotting and visualizing data

A scientific charting library focused on performance optimised real-time data visualisation at 25 Hz update rates for data sets with a few 10 thousand up to 5 million data points.

Java Scientific Computing Library - Signal Processing, FFT, Filters, PSD, DCT, SciPy-like APIs for JVM & Android used in Machine Learning and Data Science.

BloomFilter(s) in Ruby: Native counting filter Redis counting/non-counting filters

ID3-based implementation of the ML Decision Tree algorithm

A general classifier module to allow Bayesian and other types of classifications. A fork of cardmagic/classifier.

A 3D chart library for Java applications (JavaFX, Swing or server-side).

JGraphX

Master repository for the JGraphT project

Tablesaw is a Java dataframe library designed for manipulating, filtering, and aggregating structured data. It serves as a toolkit for statistical analysis, data visualization, and machine learning execution within the Java Virtual Machine. The project provides specialized tools for computing descriptive statistics and generating cross-tabulations. It includes a visualization library for creating histograms and scatter plots, as well as a framework for executing linear regression, clustering, and classification tasks through integration with statistical libraries. The library covers a broad

primes-utils rubygem

roots gem

Ruby algorithms and data structures. C extensions

Advanced Random Number Generators