SciML のリポジトリ

Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.

最終コミット 2026/08/15

CellMLToolkit.jl is a Julia library that connects CellML models to the Scientific Julia ecosystem.

最終コミット 2026/08/15

Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization

最終コミット 2026/07/03

Various developer materials, like PDFs, notes, derivations, etc. for differential equations and scientific machine learning (SciML)

最終コミット 2024/04/05

Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods

最終コミット 2026/05/10

A library of premade problems for examples and testing differential equation solvers and other SciML scientific machine learning tools

最終コミット 2026/08/16

Build and simulate jump equations like Gillespie simulations and jump diffusions with constant and state-dependent rates and mix with differential equations and scientific machine learning (SciML)

最終コミット 2026/08/15

Finds relationships between the parameters of a mathematical model

最終コミット 2026/08/15

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

最終コミット 2026/08/15

Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

最終コミット 2026/05/12

Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable interface.

最終コミット 2026/05/08

High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)

最終コミット 2026/05/14

Julia Catalyst.jl importers for various reaction network file formats like BioNetGen and stoichiometry matrices

最終コミット 2026/08/15

SBML differential equation and chemical reaction model (Gillespie simulations) for Julia's SciML ModelingToolkit

最終コミット 2026/08/15

Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)

最終コミット 2023/12/14

Global documentation for the Julia SciML Scientific Machine Learning Organization

最終コミット 2026/06/07