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Provides a framework for the creation and use of Neural ordinary differential equations with the 'tensorflow' and 'keras' packages. The idea of Neural ordinary differential equations comes from Chen et al. (2018) doi:10.48550/arXiv.1806.07366, and presents a novel way of learning and solving differential systems.
| github.com/semran9/tfNeuralODE | |
| Bug report | File report |
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