Pinned Repositories
AllocCheck.jl
AllocCheck
DiffEqBase.jl
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
KLU.jl
Julia Wrapper for the KLU sparse matrix solver
ModelingToolkit.jl
An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations
ModelingToolkitCourse
A course on composable system modeling, differential-algebraic equations, acausal modeling, compilers for simulation, and building digital twins of real-world devices
OrdinaryDiffEq.jl
High performance differential equation solvers for ordinary differential equations, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
PET-isosurface
PETLION.jl
High-performance simulations of the Porous Electrode Theory for Li-ion batteries
PyBaMM
Fast and flexible physics-based battery models in Python
PyBaMM
Fast and flexible physics-based battery models in Python
MarcBerliner's Repositories
MarcBerliner/PETLION.jl
High-performance simulations of the Porous Electrode Theory for Li-ion batteries
MarcBerliner/AllocCheck.jl
AllocCheck
MarcBerliner/DiffEqBase.jl
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
MarcBerliner/KLU.jl
Julia Wrapper for the KLU sparse matrix solver
MarcBerliner/ModelingToolkit.jl
An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations
MarcBerliner/ModelingToolkitCourse
A course on composable system modeling, differential-algebraic equations, acausal modeling, compilers for simulation, and building digital twins of real-world devices
MarcBerliner/OrdinaryDiffEq.jl
High performance differential equation solvers for ordinary differential equations, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
MarcBerliner/PET-isosurface
MarcBerliner/PyBaMM
Fast and flexible physics-based battery models in Python
MarcBerliner/SciMLBenchmarks.jl
Benchmarks for scientific machine learning (SciML) software and differential equation solvers
MarcBerliner/SparseDiffTools.jl
Fast jacobian computation through sparsity exploitation and matrix coloring
MarcBerliner/Sundials.jl
Julia interface to Sundials, including a nonlinear solver (KINSOL), ODE's (CVODE and ARKODE), and DAE's (IDA) in a SciML scientific machine learning enabled manner