Metadata-Version: 2.1
Name: modelarchive
Version: 0.0.1.dev7
Summary: UNKNOWN
Home-page: https://github.com/seung-lab/modelarchive
Author: Barak Nehoran
Author-email: bnehoran@users.noreply.github.com
License: BSD
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: Development Status :: 4 - Beta
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Scientific/Engineering
Classifier: License :: OSI Approved :: MIT License
Description-Content-Type: text/markdown
Requires-Dist: torch (>=0.4.1)
Requires-Dist: torchvision
Requires-Dist: numpy
Requires-Dist: matplotlib
Requires-Dist: h5py
Requires-Dist: argcomplete
Requires-Dist: pandas
Requires-Dist: setuptools
Requires-Dist: pyyaml

# ModelArchive
A machine learning package for bundling a trained [PyTorch](https://github.com/pytorch/pytorch) model in an archive directory along with its architecture description, training state, and training history.

See [seung-lab/SEAMLeSS#12](https://github.com/seung-lab/SEAMLeSS/pull/12) and this [overview](https://docs.google.com/presentation/d/105s13_n_K4JCpH3zp_N31uAJEdUVIBevGiMysdVAB9M/edit?usp=sharing) for more details.

Note that this package is experimental and under development.



