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approxposterior

A Python package for approximate Bayesian inference and optimization using Gaussian processes

bandframework

This contains the public repository for the BAND framework project.

bandframework.github.io

bayesian_net_emu

bayesian_parameter_inferece_for_vah

bird

Data-science-boot-camp final project.Classifying Bird songs from Xeno-Canto.org: looking for members! Project - Writing a python classifier to identify birds from their song. Bird songs are available in audio format in this site(https://www.xeno-canto.org/). There is an interesting signal processing part in the beginning to clean up the data. There are about 0.4 million labelled data, but some mistry songs without labels still exist. We are going to find whom those songs belong to!

causal_ml

Learning materials and examples on Causal ML

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

cvmfs-singularity-sync

Scripts to synchronize Singularity images to a CVMFS repository.

cython_osc

simple cython parallel script to run in the Ohio State Super Computing Cluster Owens

danosu.github.io

Use this template if you need a quick developer / data science portfolio! Based on a Minimal Jekyll theme for GitHub Pages.

danosu.webpage

My personal Website

einsteinpy

Repository for the EinsteinPy core package :rocket:

emukit

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

emulator-validation

Bayesian parameter estimation for relativistic heavy-ion collisions

freestream

Free streaming for heavy-ion collision initial conditions

isnet_2021_tl

Notebooks and Presentation material for Transfer Learning Emulation at ISNET 2021

ktiso

map_5020

Calculations for MAP observable of PbPb collisions at 5.02 TeV with Grad viscous corrections.

minima

Minima is a one-size-fits-all Jekyll theme for writers.

multifidelity_emulation

Building multi-fidelity emulators for Relativistic Heavy Ion Collisions.

observables

Python scripts to calculate observables for relativistic heavy ion collisions

physics-8805

physics-8806

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

qgp_bayes

Bayesian parameter estimation code for Relativistic Heavy Ion Collisions

summerschool2021

supermc

This is a version of the superMC for generating hydrodynamic initial conditions.

surmise

A python package for surrogate models that interface with calibration and other tools

taweret

Python package for Bayesian Model Mixing

taweret.github.io