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
Ecosystem
juliahub.com
juliahub.com
Latest Release
about 2 months ago
11.11.1
about 2 months ago
Versions
487
487
Downloads
2,858 total
2,858 total
Dependent Packages
90
90
Dependent Repos
14
14
Links
| Registry | juliahub.com |
| Source | Repository |
| Homepage | Homepage |
| Docs | Documentation |
| JSON API | View JSON |
| CodeMeta | codemeta.json |
Package Details
| PURL |
pkg:julia/ModelingToolkit
spec |
| License | MIT |
| First Release | over 7 years ago |
| Last Synced | 27 days ago |
Keywords
differential-equations ode dae ordinary-differential-equations pde sde dde stochastic-differential-equations delay-differential-equations julia symbolic symbolic-computation symbolic-numerics computer-algebra sciml scientific-machine-learning optimization nonlinear-programming acausal equation-based
differential-equations ode dae ordinary-differential-equations pde sde dde stochastic-differential-equations delay-differential-equations julia symbolic symbolic-computation symbolic-numerics computer-algebra sciml scientific-machine-learning optimization nonlinear-programming acausal equation-based
Repository
| Stars | 1,585 on GitHub |
| Forks | 238 on GitHub |
| Commits | 4803 |
| Committers | 153 |
| Avg per Author | 31.392 |
| DDS | 0.702 |
Rankings on juliahub.com
Overall
Top 1.0%
Dependent packages
Top 0.9%
Dependent repos
Top 2.4%
Forks
Top 0.4%