👻 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

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.

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

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

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.

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