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
Mixture regression models for NumPyro.
Very easy Bayesian regression.
Do LLM judges know when they're wrong? Three open-weight judges (Qwen2.5-7B, kev-8b, auto-j-13b) graded against MT-Bench human votes: calibration, position and padding attacks, and what auto-accepting confident verdicts would cost. Interactive site included.
Bayesian poll aggregation, vote-share modelling, and seat/coalition forecasts for the 2026 New Zealand general election.
Oxford MSc thesis. variational autoencoder combined with graph convolutional networks for learning locally-aware spatial prior distributions
Hierarchical Bayesian prediction for bounded scores of events nested in entities over time — configured by one YAML descriptor.
This project is not well tested, or thoroughly vetted. Use with extreme care.
Two-stage Bayesian calibration for QSP models: literature-prior MCMC then neural posterior estimation.
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)
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