Metadata-Version: 2.4
Name: radnn
Version: 0.0.9
Summary: Rapid Deep Neural Networks
Author-email: "Pantelis I. Kaplanoglou" <pikaplanoglou@ihu.gr>
License-Expression: MIT
Project-URL: Homepage, https://github.com/pikaplan/radnn
Project-URL: Documentation, https://radnn.readthedocs.io/
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE.txt
Requires-Dist: numpy>=1.26.4
Requires-Dist: matplotlib>=3.8.4
Requires-Dist: pandas>=2.2.1
Requires-Dist: scikit-learn>=1.4.2
Dynamic: license-file

# radnn - Rapid Deep Neural Networks

A library that brings the Rapid Application Development (RAD) approach into the lifecycle of Deep Learning models. Adapts objects from other frameworks and hides their implementation details to put emphasis on:

- Experiments: Data, Models, Training, Reproducibility
- Management: Process, Storage, Deployment
- Evaluation: Metrics, Plots, Visualizations
- Integration: IPC, Web API
