👻 Utilities for analyzing Bayesian models and posterior distributions

Probabilistic Machine Learning for Finance and Investing: A Primer to Generative AI with Python

This repository contains work on Coursera course - Bayesian Statistics including the experiments run for conceptual understanding, links that I found useful for reference and assignment and quiz solutions.

rmBayes R package for performing Bayesian inference for repeated-measures designs

A lightweight Python package for frequentist and Bayesian A/B testing of proportions.

Exact Bayesian trust and reputation scoring for tools, MCP servers, skills, and agents. Zero-dependency, TypeScript-first: closed-form Beta-Bernoulli posteriors, calibrated credible intervals, Thompson-sampling routing, time-decay, and a tamper-evident audit trail.

Thompson-sampling Bayesian router that picks the right LLM per query across quality, cost, and latency. Zero-dependency, TypeScript-first, with exact conjugate posteriors, safe exploration, and bounded regret.

Will plot and integrate a function over the desired range, in addition to giving the point estimates and credible intervals

Sample drat repository for easy forking and bootstrapping

Bayesian Logistic Regression with Python and PyMC3 to predict customer subscription for a financial institution.