Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed computing
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Updated
Mar 1, 2022 - Python
Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed computing
A library for using direct collocation in the optimization of dynamic systems.
A package for collocating wave model output with observations and subsequent validation.
Collocation methods for trajectory optimization for second or higher order systems.
Underactuated double-pendulum (acrobot) on a cart to play with direct optimal control methods
Package for the generation of coefficients used in Spectral Deferred Correction and related methods (Runge-Kutta, ...)
A small collection of functions associated with radial basis function interpolation and collocation
Fast and Accurate collocation of Fast and Accurate Collocation of the Visible Infrared Imaging Radiometer Suite (VIIRS) Measurements with Cross-Track Infrared Sounder (CrIS)
Quality assessment measures of data clusters based on ground truth compatible with sklearn
PhiloLogic5
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