Metadata-Version: 2.1
Name: proglearn
Version: 0.0.7
Summary: A package to implement and extend the methods desribed in 'Omnidirectional Transfer for Quasilinear Lifelong Learning'
Home-page: https://github.com/neurodata/ProgLearn/
Author: Will LeVine, Jayanta Dey, Hayden Helm
Author-email: levinewill@icloud.com
Maintainer: Jayanta Dey, Haoyin Xu
Maintainer-email: jdey4@jhmi.edu
License: MIT
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Description-Content-Type: text/markdown
License-File: LICENSE

# ProgLearn

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.4060264.svg)](https://doi.org/10.5281/zenodo.4060264)
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[![arXiv](https://img.shields.io/badge/arXiv-2004.12908-red.svg?style=flat)](https://arxiv.org/abs/2004.12908)
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`ProgLearn` (**Prog**ressive **Learn**ing) is a package for exploring and using progressive learning algorithms developed by the [neurodata group](https://neurodata.io).

- **Installation Guide:** [http://proglearn.neurodata.io/install.html](http://proglearn.neurodata.io/install.html)
- **Documentation:** [http://proglearn.neurodata.io](http://proglearn.neurodata.io)
- **Tutorials:** [http://proglearn.neurodata.io/tutorials.html](http://proglearn.neurodata.io/tutorials.html)
- **Source Code:** [http://proglearn.neurodata.io/reference/index.html](http://proglearn.neurodata.io/reference/index.html)
- **Issues:** [https://github.com/neurodata/proglearn/issues](https://github.com/neurodata/proglearn/issues)
- **Contribution Guide:** [http://proglearn.neurodata.io/contributing.html](http://proglearn.neurodata.io/contributing.html)

Some system/package requirements:
- **Python**: 3.6+
- **OS**: All major platforms (Linux, macOS, Windows)
- **Dependencies**: tensorflow, scikit-learn, scipy, numpy, joblib


