Metadata-Version: 2.1
Name: ednaml
Version: 0.1.1
Summary: A framework running and tracking ML experiments
Home-page: https://github.com/asuprem/GLAMOR
Author: Abhijit Suprem
Author-email: asuprem@gatech.edu
Maintainer: Abhijit Suprem
Maintainer-email: asuprem@gatech.edu
License: Apache 2.0
Project-URL: Documentation, https://github.com/asuprem/GLAMOR
Project-URL: Code, https://github.com/asuprem/GLAMOR
Project-URL: Issue tracker, https://github.com/asuprem/GLAMOR/issues
Keywords: deep learning,pytorch,AI
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Environment :: Console
Classifier: Environment :: GPU :: NVIDIA CUDA :: 11.0
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Topic :: Software Development :: Libraries :: Application Frameworks
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE

# CoLabel


This repo contains the code for 'Constructive Interpretability with CoLabel: Corroborative Integration, Complementary Features, and Collaborative Learning'


# Requirements
The code uses PyTorch, as well as existing vehicle datasets.



