SciML Open Source Scientific Machine Learning
Change the repository type filter
All
Repositories list
202 repositories
- Boundary value problem (BVP) solvers for scientific machine learning (SciML)
- Fast and automatic structural identifiability software for ODE systems
- An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics fo…
- The Base interface of the SciML ecosystem
- High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neura…
- Optimal Control meets Scientific Machine Learning
- Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem
- Surrogate modeling and optimization for scientific machine learning (SciML)
- Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open so…
DataInterpolations.jl
Public- Implementation of the finite volume method in 1D.
DelayDiffEq.jl
PublicDelay differential equation (DDE) solvers in Julia for the SciML scientific machine learning ecosystem. Covers neutral and retarded delay differential equations…- Reservoir computing utilities for scientific machine learning (SciML)
- Robust, Fast, and Parallel Global Sensitivity Analysis (GSA) in Julia
SBMLToolkit.jl
PublicSBML differential equation and chemical reaction model (Gillespie simulations) for Julia's SciML ModelingToolkitCellMLToolkit.jl
PublicCellMLToolkit.jl is a Julia library that connects CellML models to the Scientific Julia ecosystem.- Julia Catalyst.jl importers for various reaction network file formats like BioNetGen and stoichiometry matrices
SBMLToolkitTestSuite.jl
Public- Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
- Lightweight and easy generation of quasi-Monte Carlo sequences with a ton of different methods on one API for easy parameter exploration in scientific machine l…
- Build and simulate jump equations like Gillespie simulations and jump diffusions with constant and state-dependent rates and mix with differential equations and…
SciMLSensitivity.jl
PublicA component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimiz…NonlinearSolve.jl
PublicHigh-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and Newton-Krylov suppo…DiffEqBase.jl
PublicThe lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems- LinearSolve.jl: High-Performance Unified Interface for Linear Solvers in Julia. Easily switch between factorization and Krylov methods, add preconditioners, and…