proxy.golang.org : github.com/SciML/ModelingToolkit.jl
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
-
Source
- Documentation
- JSON
purl: pkg:golang/github.com/%21sci%21m%21l/%21modeling%21toolkit.jl
Keywords:
acausal
, computer-algebra
, dae
, dde
, delay-differential-equations
, differential-equations
, equation-based
, julia
, nonlinear-programming
, ode
, optimization
, ordinary-differential-equations
, pde
, scientific-machine-learning
, sciml
, sde
, stochastic-differential-equations
, symbolic
, symbolic-computation
, symbolic-numerics
License: GPL-1.0+
Latest release: 5 days ago
First release: almost 7 years ago
Namespace: github.com/SciML
Stars: 1,550 on GitHub
Forks: 232 on GitHub
Total Commits: 4803
Committers: 153
Average commits per author: 31.392
Development Distribution Score (DDS): 0.702
More commit stats: commits.ecosyste.ms
See more repository details: repos.ecosyste.ms
Funding links: https://github.com/sponsors/SciML
Last synced: 5 days ago