AI Agent Skills

Notebooks about Bayesian methods for machine learning

A collection of Bayesian data analysis recipes using PyMC3

Bayesian Deep Learning: A Survey

Bayesian modeling with PyMC 5: priors, likelihood, NUTS/ADVI sampling, diagnostics (R-hat, ESS), LOO/WAIC comparison, prediction. Hierarchical, logistic, GP variants; pr…

Mapping spatiotemporal patterns in an online and continuous fashion

Bayesian inference with probabilistic programming.

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

Bayesian Optimization and Design of Experiments

Open-source Bayesian trading AI agent for prediction markets.

Bayesian Change-Point Detection and Time Series Decomposition

Bayesian Analysis with Python (Second Edition)

Bayesian Optimization as a Coverage Tool for Evaluating LLMs. Accurate evaluation (benchmarking) that's 10 times faster with just a few lines of modular code.

Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB

"What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).

Time-to-event modeling with scikit-survival: Cox PH (elastic net), Random Survival Forests, Boosting, SVMs for censored data. C-index, Brier, time-dependent AUC; Kaplan-…

Guided statistical analysis: test choice, assumption checks, effect sizes, power, APA reporting. Pick tests, verify assumptions, or format results for publicati