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6 search results found

Modelingtoolkit.jl ⭐ 1,292

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

Optimization.jl ⭐ 625

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.

Surrogates.jl ⭐ 302

Surrogate modeling and optimization for scientific machine learning (SciML)

Componentarrays.jl ⭐ 258

Arrays with arbitrarily nested named components.

Autooptimize.jl ⭐ 75

Automatic optimization and parallelization for Scientific Machine Learning (SciML)

Reactivedynamics.jl ⭐ 14

A Julia package that implements a category of reaction (transportation) network-type dynamical systems.

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