Unofficial implementation of Dirichlet Process Mixture Model Split/Merge algorithm
Bindings for SandiaDecay C++ library, used to compute nuclide mixtures
Gaussian mixture models
Safe Rust bindings for NIST REFPROP – thermodynamic & transport properties of refrigerants, pure fluids, and mixtures
HS code prediction for chemical products — Akinator-style interactive classification with rule-based and LLM hybrid engine
A library for mixture of expert gaussian processes
Command-line interface for kaichi: CRISPR guide assignment for Perturb-seq
Tool to generate color swatches for chemical compounds
Statistical functions module for SciRS2 (scirs2-stats)
Multi-target tracking with random finite sets
A nice toolbox for AI- using Hierarchical-Mixture of Experts
The algorithmic information theory library.
Rumale::Clustering provides cluster analysis algorithms, such as K-Means, Gaussian Mixture Model, DBSCAN, and Spectral Clustering, with Rumale interface.
Simple text search using a mixture of basic string search and Levenshtein Distance
It generates unique string with mixture of strings and numerics
Rumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python. Rumale supports Support Vector Machine, Logistic Regression, Ridge, Lasso, Multi-layer Perceptron, Naive Bayes, Decision Tree, Gradient Tree Boosting, Random Forest, K-Means, Gaussian Mixture Model, DBSCAN, Spectral Clustering, Mutidimensional Scaling, t-SNE, Fisher Discriminant Analysis, Neighbourhood Component Analysis, Principal Component Analysis, Non-negative Matrix Factorization, and many other algorithms.
Flexibility is a mix-in for ruby classes that allows you to easily define methods that can take a mixture of positional and keyword arguments.
Wrapper around ruby http and https libraries. Converted to a gem from a mixture of versions I've used over the years. Might need some work yet :)