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Uni Bonn + Helmholtz Munich + TUM
- Little blue planet
- https://yannikschaelte.github.io
- @yannik_schaelte
- in/yannik-schaelte
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Applying amortizing neural posterior estimation for non-linear mixed effects models
A curated list of resources about generative flow networks (GFlowNets).
A Python library for amortized Bayesian workflows using generative neural networks.
A tool to for optimizing parameters of ordinary differential equation (ODE) models. SBML2Julia translates a model from SBML/PEtab format into Julia for Mathematical Programming (JuMP), performs the…
Repository for development of the model selection extension
Relax! Flux is the ML library that doesn't make you tensor
An uroboros program with 100+ programming languages
Python package for working with PEtab files
Code for the pyABC dynamic look-ahead scheduling study
Laboratory and epidemiological analysis for the initial examination of KoCo19
Tool to convert an ODE model specified in the YAML format to SBML.
🤖 A Python library for learning and evaluating knowledge graph embeddings
Spatiotemporal epidemic model introduced in the context of COVID-19, ACM TSAS, 2022
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
A collection of mathematical models with experimental data in the PEtab format as benchmark problems in order to evaluate new and existing methodologies for data-based modelling
A study of the use of noise models in ABC
Parameter estimation for dynamical models using high-performance computing, batch and mini-batch optimizers, and dynamic load balancing.
Software zum automatischen Erstellen von Messdienerplänen.