Ecosyste.ms: Packages
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juliahub.com : SciMLSensitivity : 7.35.0
A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, SDEs, DDEs, DAEs, etc.
Registry -
Documentation -
JSON
purl: pkg:julia/[email protected]
Published:
Indexed:
Dependencies
- Adapt 1-3
- ArrayInterface 7
- Cassette 0.3.6-0.3
- ChainRulesCore 0.10.7-0.10,1
- DiffEqBase 6.93.0-6
- DiffEqCallbacks 2.17.0-2
- DiffEqNoiseProcess 4.1.4-5
- DiffRules 1
- Distributions 0.24-0.25
- EllipsisNotation 1
- Enzyme 0.11.2-0.11
- FiniteDiff 2
- ForwardDiff 0.10
- FunctionWrappersWrappers 0.1
- GPUArraysCore 0.1
- LinearSolve 1-2
- OrdinaryDiffEq 6.19.1-6
- Parameters 0.12
- PreallocationTools 0.4.4-0.4
- QuadGK 2.1.0-2
- RandomNumbers 1.5.3-1
- RecursiveArrayTools 2.4.2-2
- Reexport 0.2,1
- ReverseDiff 1.9.0-1
- SciMLBase 1.66.0-1
- SciMLOperators 0.1-0.3
- SimpleNonlinearSolve 0.1.8-0.1
- SparseDiffTools 2
- StaticArraysCore 1.4.0-1
- StochasticDiffEq 6.20.0-6
- Tracker 0.2
- TruncatedStacktraces 1.2.0-1
- Zygote 0.6
- ZygoteRules 0.2
- julia 1.6.0-1