Hendrik Ranocha's Projects
Root finding functions for Julia
Julia implementations for different rotation parameterizations
Integer types that automatically round assigned values
Reproducibility for paper on relaxation RK methods and inner-product norms.
Functions generated at runtime without world-age issues or overhead
SBML differential equation and chemical reaction model (Gillespie simulations) for Julia's SciML ModelingToolkit
Functions to run the SBML Test Suite with SBMLToolkit, create logs and create reports for the SBML Test Suite Database
A Class of A Stable Summation by Parts Time Integration Schemes
Wrap ScaLAPACK in Julia
The Base interface of the SciML ecosystem
Benchmarks for scientific machine learning (SciML) software, scientific AI, and (differential) equation solvers
Fast uncertainty quantification for scientific machine learning (SciML) and differential equations
Nonlinear solver bindings for the SciML Interface
A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, SDEs, DDEs, DAEs, etc.
Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
Workshop materials for training in scientific computing and scientific machine learning
Wrappers for the SciPy differential equation solvers for the SciML Scientific Machine Learning organization
Tracing / profiling Julia code with Score-P
A Julia package to represent semiseparable and almost banded matrices
SerialPort IO streams in Julia backed by pySerial.
Update deeply nested immutable structs.
This action sets up a Julia environment for use in actions by downloading a specified version of Julia and adding it to PATH.
Lazy shifted arrays for data analysis in Julia
Compact display of type information by leveraging constructor syntax
The Signal Metadata Format
Improves dual numbers support for SIMD use of ForwardDiff.jl.
Type declarations for other repos to depend on.
Simple differential equation solvers in native Julia for scientific machine learning (SciML)