Factual package intelligence from PyPI
EagerPy is a thin wrapper around PyTorch, TensorFlow Eager, JAX and NumPy that unifies their interface and thus allows writing code that works natively across all of them.
pip install eagerpy
PyPI declares 4 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=3.7.4.1eagerpy publishes 1 wheel and 1 source archive for version 0.30.0. Wheel platform tags: any.
Declared Python classifiers: 3.6.
PyPI does not currently declare: Python requirement. PyDeps marks these fields as unknown instead of guessing values.
PyPI lists 45 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .