Factual package intelligence from PyPI
ELEKTRONN2 a is highly configurable toolkit for training 3d/2d CNNs and general Neural Networks
pip install elektronn2
PyPI declares 18 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.8>=0.14>=1.4>=2.2<0.10,>=0.8>=0.15>=4.5>=2.7<2,>=1.0.3>=0.9.0>=5.0.1>=0.12.3>=0.25elektronn2 publishes 1 wheel and 1 source archive for version 0.6.0. Wheel platform tags: any.
No version-specific Python classifiers are declared.
PyPI does not currently declare: Python requirement. PyDeps marks these fields as unknown instead of guessing values.
PyPI lists 7 releases with files. The first dated release is ; 6 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .