An fast implementation of a generative bayesian network.
Bayesian modeling
An implementation of a Bayesian-approximation based game ranking system described by Weng and Lin and used by HackerRank.
Bayesian optimizer for multi-dimensional search space
Bayesian probability transforms for BM25 retrieval scores
Weng-Lin Bayesian approximation method for online skill-ranking.
Inference on Bayesian Networks
Optimized Naive Bayesian classifier for NodeJS
Bayesian bandit implementation for Node and the browser.
Useful Grid algorithm from Material-UI (https://github.com/mui-org/material-ui)
StochTree BART (Bayesian Additive Regression Trees) compiled to WebAssembly
Weng-Lin Bayesian approximation method for online skill-ranking.
Bayesian bandit dynamic sorting.
Statistical simulations and bayesian inference in the browser
Simple Bayesian Belief Network (BBN) library in JavaScript.
aGrUM bayesian networks in the browser
Bayesian Network modeling, reasoning, and inference engine
Library for easy work with bayesian neurons
MCP server for A/B test statistical analysis — significance testing, sample size calculation, Bayesian analysis, and more
Bayesian Bandits in JavaScipt
Weng-Lin Bayesian approximation method for online skill-ranking.
Bayesian optimization with Gaussian processes for hyperparameter tuning
AI-native quality gate engine with local Bayesian learning. AST analysis, drift detection, Fix Packet generation, and agent self-healing across TypeScript, JavaScript, Python, Go, Ruby, and C#.
A trainable Bayesian text classifier library and HTTP service.
A naive Bayesian classifier with optional TF-IDF support
FrankenTUI public facade and prelude.
Accessibility layer for FrankenTUI
Backend traits for FrankenTUI: platform abstraction for input, presentation, and time.
Terminal lifecycle, capabilities, and event parsing for FrankenTUI.
Feature-gated extras for FrankenTUI (markdown, charts, clipboard, themes).
Test harness and reference fixtures for FrankenTUI.
Localization catalog and interpolation utilities for FrankenTUI.
Flex and grid layout solvers for FrankenTUI.
PTY-backed test utilities for FrankenTUI.
Render kernel: cells, buffers, diffs, and ANSI presentation.
Elm-style runtime loop and subscriptions for FrankenTUI.
A simple way to add Bayesian averages to your Mongoid classes
This combines shuffling, statistics, and symbolic AI to carry out a similar process in the real world: take a deck of randomized flash cards, write down the names of potential customer types, and gradually eliminate customer possibilities using symbolic association. Dreamed while designing tree houses.
Bayesian inference for Ruby, powered by CmdStan
Bayesian belief updating engine (prior + evidence = posterior) for brain-modeled agentic AI
http://www.mikeperham.com/2010/04/28/bayes_motel-bayesian-classification-for-ruby/
A general classifier module to allow Bayesian and other types of classifications.
Naive Bayesian Classifier with customizable features
Bayesian filtration
A simple bayesian classifier
bayes_on_redis library provides bayesian classification on a given text similar to many SPAM/HAM filtering technique.
A simple bayesian classifier
A Ruby library for text classification featuring Naive Bayes, LSI (Latent Semantic Indexing), Logistic Regression, and k-Nearest Neighbors classifiers. Includes TF-IDF vectorization, streaming/incremental training, pluggable persistence backends, thread safety, and a native C extension for fast LSI operations.
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