Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods

Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.

Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization

Modern Jasspa's Microemacs fork - based on Dave Conroy and Daniel Lawrences code. Text editor with GUI and terminal mode, with syntax highlighting, folding, outlines, abbreviations, own extension l…

REconstruction of dyNAmIc models through Stratified Sampling using Artificial Neural networks and Concepts of Evolution strategies

Efficient random sampling for COBRA models

Document conversion with Tcl based filters using pandoc or Tcl only. Example filter for ABC music, GraphViz, PlantUML, R, Python etc are provided.

Multivariate thermodynamics-based metabolic flux analysis in Python.

Repository for the course Databases and Practical Programming at the University of Potsdam

St. Nicolas House Algorithm implementation in R - predicting correlation networks using association chains

Network-based Genomic Selection

Various filters in Lua and Tcl for the Pandoc document processor

R code for the paper - Hermanussen et.al. Winner-loser effects improve social network efficiency between competitors with equal resource holding power. Sci Rep 13, 14439 (2023).

COnstraint-based pRomiscuous enzyme And underground metabolism modeLing

IMIC: Integration of metatranscriptomic data into community model

Coupled Approach of MEtabolic modelling and machine Learning