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Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# ProgLearn\n\n[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.4060264.svg)](https://doi.org/10.5281/zenodo.4060264)\n[![Build Status](https://circleci.com/gh/neurodata/ProgLearn/tree/main.svg?style=shield\u0026circle-token=:circle-token)](https://app.circleci.com/pipelines/github/neurodata/ProgLearn)\n[![Codecov](https://codecov.io/gh/neurodata/ProgLearn/branches/main/graph/badge.svg)](https://codecov.io/gh/neurodata/ProgLearn)\n[![PyPI version](https://img.shields.io/pypi/v/proglearn.svg)](https://pypi.org/project/proglearn/)\n[![arXiv](https://img.shields.io/badge/arXiv-2004.12908-red.svg?style=flat)](https://arxiv.org/abs/2004.12908)\n[![License](https://img.shields.io/badge/License-MIT-blue)](https://opensource.org/licenses/MIT)\n[![Netlify Status](https://img.shields.io/netlify/97f86f49-81ed-4292-a100-f7031b54ecc7)](https://app.netlify.com/sites/neuro-data-proglearn/deploys)\n[![Downloads](https://img.shields.io/pypi/dm/proglearn.svg)](https://pypi.org/project/proglearn/#files)\n\n\n`ProgLearn` (**Prog**ressive **Learn**ing) is a package for exploring and using progressive learning algorithms developed by the [neurodata group](https://neurodata.io).\n\n- **Installation Guide:** [http://proglearn.neurodata.io/install.html](http://proglearn.neurodata.io/install.html)\n- **Documentation:** [http://proglearn.neurodata.io](http://proglearn.neurodata.io)\n- **Tutorials:** [http://proglearn.neurodata.io/tutorials.html](http://proglearn.neurodata.io/tutorials.html)\n- **Source Code:** [http://proglearn.neurodata.io/reference/index.html](http://proglearn.neurodata.io/reference/index.html)\n- **Issues:** [https://github.com/neurodata/proglearn/issues](https://github.com/neurodata/proglearn/issues)\n- **Contribution Guide:** [http://proglearn.neurodata.io/contributing.html](http://proglearn.neurodata.io/contributing.html)\n\nSome system/package requirements:\n- **Python**: 3.6+\n- **OS**: All major platforms (Linux, macOS, Windows)\n- **Dependencies**: tensorflow, scikit-learn, scipy, numpy, joblib\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fneurodata%2Fproglearn","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fneurodata%2Fproglearn","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fneurodata%2Fproglearn/lists"}