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A Keras/Tensorflow wrapper for scientific computations and physics-informed deep learning using artificial neural networks.
pip install sciann
PyPI declares 21 unique dependency rules for this release. Environment markers are shown when supplied by the project.
SciANN publishes 1 wheel and 1 source archive for version 0.7.0.1. Wheel platform tags: any.
Declared Python classifiers: 3.8.
PyPI does not currently declare: Python requirement. PyDeps marks these fields as unknown instead of guessing values.
PyPI lists 72 releases with files. The first dated release is ; 14 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .