The SciML Scientific Machine Learning Software Organization Website
MIT License
A common interface for quadrature and numerical integration for the SciML scientific machine lear...
Symbolic-Numeric Universal Differential Equations for Automating Scientific Machine Learning (SciML)
Multi-language suite for high-performance solvers of differential equations and scientific machin...
A Julia package to construct orthogonal polynomials, their quadrature rules, and use it with poly...
An acausal modeling framework for automatically parallelized scientific machine learning (SciML) ...
SymbolicNumericIntegration.jl: Symbolic-Numerics for Solving Integrals
A Julia machine learning framework
[draft] Agnostic Machine Learning models working on CPUs, GPUs, distributed architecture, etc.
High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) s...
Interface between the Systems Biology Markup Language and Julia
A tool to for optimizing parameters of ordinary differential equation (ODE) models. SBML2Julia tr...
Julia implementation of the scikit-learn API https://cstjean.github.io/ScikitLearn.jl/dev/
Experimental implementation of NF. That is a Modelica frontend in 100% Julia
Symbolic expressions, rewriting and simplification
Tutorials for doing scientific machine learning (SciML) and high-performance differential equatio...