yannikschaelte Goto Github PK
Name: Yannik Schälte
Type: User
Company: Uni Bonn + Helmholtz Munich + TUM
Bio: Modeling+AI | Developer | Researcher
Twitter: yannik_schaelte
Location: Little blue planet
Name: Yannik Schälte
Type: User
Company: Uni Bonn + Helmholtz Munich + TUM
Bio: Modeling+AI | Developer | Researcher
Twitter: yannik_schaelte
Location: Little blue planet
Advanced Multilanguage Interface to CVODES and IDAS
A Python library for amortized Bayesian workflows using generative neural networks.
Useful code and templates
Temporary stuff from diverse projects.
A MatLab toolbox for the analytical computation of scaling factors.
Just Another Beautiful progress BAR
Software zum automatischen Erstellen von Messdienerplänen.
OxML 2023 Carcinoma classification challenge
PEtab - an SBML and TSV-based data format for parameter estimation problems in systems biology
PEtab test suite
Presentation about Noise assessment in ABC at a FitMultiCell consortium meeting 2020
Slides for a journal club at AstraZeneca Computational Pathology, 2023-05-16
Slides for my presentation at the BayesComp conference, Levi, Finland 2023
Presentation at the Helmholtz Munich Computational Health Group Day 2021-09-30
Presentation at the FitMultiCell consortium meeting 2021-10-07
Slides for a presentation at ISMB 2020
Presentation at the Bonn Mathematical Life Sciences Conference, April 17-20 2023
Presentation on "Missing data in amortized simulation-based neural posterior estimation", EMUNE consortium meeting, Heidelberg 2023-01-16
Presentation for the Joachim Herz Stiftung Kick-Off Meeting, Hamburg 2023-02-11
Presentation for the OpenSourceEconomics seminar November 2020
Guest lecture for the OpenSourceEconomics Scientific Computing lecture series, January 2021
Slides of my PhD defense on 2022-06-01
Presentation on pyABC at the Inverse Problems summer school, Bonn 2022-08-22
distributed, likelihood-free inference
python Parameter EStimation TOolbox
RNA Velocity generalized through dynamical modeling
Simulator for the spatiotemporal model for Covid-19
Stochastic Simulation Algorithms.
A study of the use of noise models in ABC
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.