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SciML / DiffEqFlux.jl / 1226 / 2
33%
master: 33%

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DEFAULT BRANCH: master
Ran 30 Jul 2020 04:27PM UTC
Files 11
Run time 7min
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30 Jul 2020 03:46PM UTC coverage: 48.869% (-2.7%) from 51.551%
GROUP=BasicNeuralDE

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Add support for Hamiltonian Neural Networks (#370)

* Add NeuralHamiltonian DE Layer

* Basic example of filling a HNN to 1D spring mass system

* Fix minor bug for using same variable names

* Add HamiltonianNN Layer

* Add example on using HNN

* Add documentation for the HNN Layer

* Add documentations for the NHDE Layer

* Add tests for HNN

* Add tests for the NeuralHamiltonian DE Layer

* Add a note asking users to use ReverseDiff for training

* Add NeuralHamiltonian DE Layer

* Basic example of filling a HNN to 1D spring mass system

* Fix minor bug for using same variable names

* Add HamiltonianNN Layer

* Add example on using HNN

* Add documentation for the HNN Layer

* Add documentations for the NHDE Layer

* Add tests for HNN

* Add tests for the NeuralHamiltonian DE Layer

* Add a note asking users to use ReverseDiff for training

* Missing p to fix the tests

216 of 442 relevant lines covered (48.87%)

106217.93 hits per line

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