Fully and Partially Bayesian Neural Nets
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Updated
Apr 30, 2025 - Python
Fully and Partially Bayesian Neural Nets
A multiverse of Prophet models for timeseries
Python library for Multi-Armed Bandits
The missing layers package for Bayesian regression
Estimating time trees from very large phylogenies
Efficient library for spectral analysis in high-energy astrophysics.
My implementation of John K. Kruschke's Doing Bayesian Data Analysis 2nd edition using Python and Numpyro.
Hierarchical Bayesian estimation of MEP recruitment curves
Build, fit, and sample from cognitive models with JAX + NumPyro.
Bridging simulators to probabilistic programming in JAX
Very easy Bayesian regression.
Mixture regression models for NumPyro.
Hierarchical Bayesian prediction for bounded scores of events nested in entities over time — configured by one YAML descriptor.
Oxford MSc thesis. variational autoencoder combined with graph convolutional networks for learning locally-aware spatial prior distributions
This project is not well tested, or thoroughly vetted. Use with extreme care.
Codebase for my submission to Kaggle's yearly March Machine Learning Mania competition
Physics-Informed ML for population-level inverse problems | Cambridge MEng Thesis (First Class)
Bayesian JWST secondary-eclipse depth inference for rocky exoplanets — a reproducible JAX/NumPyro pipeline (Rocky Worlds DDT Data Challenge)
Engine for validating ranked security taxonomies against incident corpora via Bayesian inference. First cycle: OWASP LLM Top 10 2026.
Bayesian prioritization framework for Near-Earth Object follow-up observations in the Rubin/LSST era. Research-grade follow-up to neo-triage-hack hackathon submission.
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