Ecosyste.ms: Packages
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juliahub.com : ModelingToolkit : 9.6.1
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
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Documentation -
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purl: pkg:julia/[email protected]
Published:
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Related tag:
v9.6.1
Dependencies
- AbstractTrees 0.3-0.4
- ArrayInterface 6-7
- Combinatorics 1
- Compat 3.42.0-4
- ConstructionBase 1
- DataStructures 0.17-0.18
- DiffEqBase 6.103.0-6
- DiffEqCallbacks 2.16.0-3
- DiffRules 0.1,1
- Distributed 1
- Distributions 0.23-0.25
- DocStringExtensions 0.7-0.9
- DomainSets 0.6-0.7
- DynamicQuantities 0.11.2-0.12
- ExprTools 0.1.10-0.1
- FindFirstFunctions 1
- ForwardDiff 0.10.3-0.10
- FunctionWrappersWrappers 0.1
- Graphs 1.5.2-1
- InteractiveUtils 1
- JuliaFormatter 1.0.47-1
- JumpProcesses 9.1.0-9
- LabelledArrays 1.3.0-1
- Latexify 0.11-0.16
- Libdl 1
- LinearAlgebra 1
- MLStyle 0.4.17-0.4
- NaNMath 0.3,1
- OrdinaryDiffEq 6.73.0-6
- PrecompileTools 1
- RecursiveArrayTools 2.3.0-3
- Reexport 0.2,1
- RuntimeGeneratedFunctions 0.5.9-0.5
- SciMLBase 2.28.0-2
- SciMLStructures 1
- Serialization 1
- Setfield 0.7-0.8,1
- SimpleNonlinearSolve 0.1,1
- SparseArrays 1
- SpecialFunctions 0.7-0.10,1-2
- StaticArrays 0.10-0.12,1
- SymbolicIndexingInterface 0.3.11-0.3
- SymbolicUtils 1
- Symbolics 5.24.0-5
- URIs 1
- UnPack 0.1,1
- Unitful 1.1.0-1
- julia 1.9.0-1