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Matthew Heffernan's Projects

bda3 icon bda3

Selected worked examples from Andrew Gelman's Bayesian Data Analysis 3rd Edition

emukit icon emukit

A Python-based toolbox of various methods in uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.

eos_maker icon eos_maker

Stripped down version of "https://github.com/Duke-QCD/hic-eventgen" used to generate equation of state matching lattice to a hadron resonance gas

ganland icon ganland

Exploring Generative Adversarial Networks

is3d icon is3d

This code can read in a freeze out surface from 2+1D or 3+1D viscous hydro codes (cpu-vh, gpu-vh) or viscous anisotropic hydro codes (cpu-vah) and calculate 3D particle spectra. It can perform numerical integration to find the smooth particle spectra, or perform sampling for a particle list. It is accelerated via OpenMP and CUDA.

joint-travel-time icon joint-travel-time

Driving time maps are everywhere. But what if you want to optimize driving time to two locations?

js-sims-bayes icon js-sims-bayes

Bayesian parameter estimation for relativistic heavy-ion collisions

llm-sandbox icon llm-sandbox

Exploring LLMs from documentation and toy models to more complex use cases

mlflow-examples icon mlflow-examples

Brief examples of autologging in mflow to demonstrate ease of use for bayesian applications in physics

music-1 icon music-1

This is the official code repository for MUSIC, a (3+1)D hydrodynamic code package for relativistic heavy-ion collisions

physics-8805 icon physics-8805

Materials for Physics 8805 at Ohio State University: "Learning from data: Bayesian methods and (some) machine learning"

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Personal heatmaps for GPS data from Strava, Garmin Connect, and Polar.

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