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A Keras/Tensorflow wrapper for scientific computations and physics-informed deep learning using artificial neural networks.

Project description

SciANN is an Artificial Neural Netowork library, based on Python, Keras, and TensorFlow, designed to perform scientific computations, solving ODEs and PDEs, curve-fitting, etc, very efficiently.

Read the documentation at:

SciANN is compatible with Python 2.7-3.6 and is distributed under the MIT license.

Project details

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