Ecosyste.ms: Packages
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juliahub.com : ModelingToolkit
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
Registry
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Source
- Homepage
- Documentation
- JSON
purl: pkg:julia/ModelingToolkit
Keywords: symbolic, symbolic-computation, symbolic-numerics, julia, delay-differential-equations, stochastic-differential-equations, dde, sde, pde, ordinary-differential-equations, equation-based, acausal, nonlinear-programming, dae, ode, sciml, optimization, differential-equations, computer-algebra, scientific-machine-learning
License: MIT
Latest release: 7 days ago
First release: over 5 years ago
Dependent packages: 90
Dependent repositories: 14
Stars: 1,366 on GitHub
Forks: 194 on GitHub
Total Commits: 4137
Committers: 143
Average commits per author: 28.93
Development Distribution Score (DDS): 0.663
More commit stats: commits.ecosyste.ms
See more repository details: repos.ecosyste.ms
Funding links: https://github.com/sponsors/SciML
Last synced: 1 day ago