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
26 days ago
11.11.1
26 days 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 | 3 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%