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Nathanael Bosch's Projects

capos icon capos

Code for "Calibrated Adaptive Probabilistic ODE Solvers"

diffeqdevtools.jl icon diffeqdevtools.jl

Benchmarking, testing, and development tools for differential equations and scientific machine learning (SciML)

dlgpd icon dlgpd

Source code for DLGPD (Bosch, N., Achterhold, J., Leal-Taixé, L., Stueckler, J.): "Planning from Images with Deep Latent Gaussian Process Dynamics", in L4DC 2020

egt icon egt

Master's Thesis Mathematics - Evolutionary Game Theory

fenrir.jl icon fenrir.jl

Physics-Enhanced Regression for Initial Value Problems

gntrm icon gntrm

Only one can be Germany's Next Top Risk Model

go_dilab icon go_dilab

A machine learning how to play GO - DataInnovation-Lab - WS20172018

kronecker.jl icon kronecker.jl

A general-purpose toolbox for efficient Kronecker-based algebra.

lra icon lra

Low Rank Approximation

numericsofml icon numericsofml

Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen

ordinarydiffeq.jl icon ordinarydiffeq.jl

High performance differential equation solvers for ordinary differential equations, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)

pick-and-mix icon pick-and-mix

Pick-and-Mix Information Operators for Probabilistic ODE Solvers

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