https://github.com/neurodata/proglearn

NeuroData's package for exploring and using progressive learning algorithms
https://github.com/neurodata/proglearn

classification continual-learning decision-trees deep-learning deep-neural-networks domain-adaptation random-forests transfer-learning

Last synced: 28 days ago
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NeuroData's package for exploring and using progressive learning algorithms

• Host: GitHub
• URL: https://github.com/neurodata/proglearn
• Owner: neurodata
• License: other
• Created: 2020-04-03T10:31:48.000Z (about 5 years ago)
• Default Branch: main
• Last Pushed: 2025-03-21T16:20:53.000Z (about 1 month ago)
• Last Synced: 2025-03-28T18:08:21.728Z (about 1 month ago)
• Topics: classification, continual-learning, decision-trees, deep-learning, deep-neural-networks, domain-adaptation, random-forests, transfer-learning
• Language: Jupyter Notebook
• Homepage: https://proglearn.neurodata.io
• Size: 374 MB
• Stars: 36
• Watchers: 7
• Forks: 42
• Open Issues: 55
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE
  • Citation: CITATION.cff

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README

        
# ProgLearn

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.4060264.svg)](https://doi.org/10.5281/zenodo.4060264)

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[![Codecov](https://codecov.io/gh/neurodata/ProgLearn/branches/main/graph/badge.svg)](https://codecov.io/gh/neurodata/ProgLearn)

[![PyPI version](https://img.shields.io/pypi/v/proglearn.svg)](https://pypi.org/project/proglearn/)

[![arXiv](https://img.shields.io/badge/arXiv-2004.12908-red.svg?style=flat)](https://arxiv.org/abs/2004.12908)

[![License](https://img.shields.io/badge/License-MIT-blue)](https://opensource.org/licenses/MIT)

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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