Ecosyste.ms: Packages
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juliahub.com : DiffEqFlux : 1.44.0
Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods
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purl: pkg:julia/[email protected]
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v1.44.0
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Dependencies
- Adapt 3
- Cassette 0.3.7-0.3
- ConsoleProgressMonitor 0.1
- DataInterpolations 3.3.0-3
- DiffEqBase 6.41.0-6
- DiffEqSensitivity 6.52.0-6
- DiffResults 1
- Distributions 0.23-0.25
- DistributionsAD 0.6
- Flux 0.12.6-0.12
- ForwardDiff 0.10
- GalacticOptim 1-2
- LoggingExtras 0.4
- Optim 1
- ProgressLogging 0.1
- RecursiveArrayTools 2
- Reexport 0.2,1
- Requires 0.5,1
- SciMLBase 1
- StaticArrays 0.11-0.12,1
- TerminalLoggers 0.1
- Zygote 0.5-0.6
- ZygoteRules 0.2
- julia 1.5.0-1