ElisabethRoesch
Researcher + Theoretical(ly) biologist, Maschinenlehrerin, Bayesian statistics, Developmental biology, QSP.
@JuliaComputingGermany
Pinned Repositories
Bifurcations
Quantifying information content around co-dimension 1 bifurcations.
BifurcationSDEs
BioBox.jl
Hybrid model with neural Differential Equations
ElisabethRoesch.github.io
Personal Website
neural_ODE_fitting
comparing loss functions in Julia
neural_sde_fitting
performance_comparison
comparing R, Python, Julia
Perspective_Julia_for_Biologists
Online material for the Perspective: "Julia for Biologists" presented at JuliaCon 2021: https://www.youtube.com/watch?v=gRj7E5kYG1I
vfa
Pkg to investigate vector field of neural ODE.
Workshop_Julia_for_Biologists
Online material for the Workshop: "Julia for Biologists" to be presented at AMSI's BIS 2022: https://bis.amsi.org.au
ElisabethRoesch's Repositories
ElisabethRoesch/Perspective_Julia_for_Biologists
Online material for the Perspective: "Julia for Biologists" presented at JuliaCon 2021: https://www.youtube.com/watch?v=gRj7E5kYG1I
ElisabethRoesch/neural_ODE_fitting
comparing loss functions in Julia
ElisabethRoesch/Workshop_Julia_for_Biologists
Online material for the Workshop: "Julia for Biologists" to be presented at AMSI's BIS 2022: https://bis.amsi.org.au
ElisabethRoesch/Bifurcations
Quantifying information content around co-dimension 1 bifurcations.
ElisabethRoesch/neural_sde_fitting
ElisabethRoesch/ElisabethRoesch.github.io
Personal Website
ElisabethRoesch/performance_comparison
comparing R, Python, Julia
ElisabethRoesch/vfa
Pkg to investigate vector field of neural ODE.
ElisabethRoesch/BifurcationSDEs
ElisabethRoesch/BioBox.jl
Hybrid model with neural Differential Equations
ElisabethRoesch/Catalyst.jl
Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software
ElisabethRoesch/Chicken.jl
neural ODEs on Single Cell Data
ElisabethRoesch/CoronaTime
ElisabethRoesch/DataInterpolations.jl
A library of data interpolation and smoothing functions
ElisabethRoesch/DiffEqFlux.jl
Interactions between DifferentialEquations.jl and Flux.jl
ElisabethRoesch/DiffEqMI.jl
Multiple Inits for solving Differential Equations
ElisabethRoesch/DiffEqSensitivity.jl
A component of the DiffEq ecosystem for sensitivity analysis
ElisabethRoesch/figures
figures for background
ElisabethRoesch/Flux.jl
Relax! Flux is the ML library that doesn't make you tensor
ElisabethRoesch/Gillespie_simulations_hybrid
ElisabethRoesch/HybridModels.jl
dU/dt = ODE + NN
ElisabethRoesch/KernelDensity.jl
Kernel density estimators for Julia
ElisabethRoesch/model-zoo
Please do not feed the models
ElisabethRoesch/MyFirstPackage.jl
This is an example package.
ElisabethRoesch/NeuralEpigeneticLandscapes
ElisabethRoesch/NeuralPDE.jl
Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
ElisabethRoesch/TRR-ACoP2022-Public
Public release version of ACoP2022
ElisabethRoesch/turing_tests
ElisabethRoesch/Weave.jl
Scientific reports/literate programming for Julia
ElisabethRoesch/www.julialang.org
Julia Project website