Fabienne Krauer (fkrauer)

fkrauer

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Company:@CMMID

Home Page:https://fkrauer.github.io/

Twitter:@FabiKrauer

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JuliaEpi

Fabienne Krauer's starred repositories

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r-pharma2022

The material for the R/Pharma workshop about end to end clinical trials

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covid-19-tracker

This is the data repository for the Imperial College London YouGov Covid 19 Behaviour Tracker Data Hub.

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DIMESampler.jl

Differential-Independence Mixture Ensemble (DIME) MCMC sampling for Julia

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rethinking

Statistical Rethinking course and book package

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covidm-mtd-Omi

Data and code to support Barnard et al., Modelling the medium-term dynamics of SARS-CoV-2 transmission in England in the Omicron era, Nature Communications (2022).

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InferenceObjects.jl

Storage for results of Bayesian inference

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MonkeypoxUK

Some code for monkeypox

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Intro-PMCMC

Endo A. et al., "Introduction to the particle Markov-chain Monte Carlo." Epidemics, 2019.

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julia

The Julia Programming Language

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KenyaCoVaccines

Vaccine modelling

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SimulatedNeuralMoments.jl

package for Bayesian and classical estimation and inference based on statistics that are filtered through a trained neural net

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hhh4-workshop

Workshop on hhh4 and the endemic-epidemic framework

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StructuralIdentifiability.jl

Fast and automatic structural identifiability software for ODE systems

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sir-julia

Various implementations of the classical SIR model in Julia

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MetaWards

MetaWards disease metapopulation analysis and modelling software. Professional geographical SIR model with a flexible plugin architecture to support complex scenario modelling

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BDA_course_Aalto

Bayesian Data Analysis course at Aalto

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adventofcode2021

Advent of Code 2021

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Pathogen.jl

Simulation, visualization, and inference of individual level infectious disease models with Julia

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Agents.jl

Agent-based modeling framework in Julia

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mfiidd

Model fitting and inference for infectious disease dynamics

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ModelingToolkit.jl

An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations

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Turing.jl

Bayesian inference with probabilistic programming.

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DifferentialEvolutionMCMC.jl

A Julia package for Differential Evolution MCMC

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