Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

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: 1 day ago
JSON representation

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 (almost 5 years ago)
Default Branch: main
Last Pushed: 2024-10-28T02:34:46.000Z (3 months ago)
Last Synced: 2025-01-12T15:06:02.567Z (9 days 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: 372 MB
Stars: 36
Watchers: 8
Forks: 42
Open Issues: 55
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Citation: CITATION.cff

Awesome Lists containing this project

README

        # ProgLearn

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

[![Build Status](https://circleci.com/gh/neurodata/ProgLearn/tree/main.svg?style=shield&circle-token=:circle-token)](https://app.circleci.com/pipelines/github/neurodata/ProgLearn)

[![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)

[![Netlify Status](https://img.shields.io/netlify/97f86f49-81ed-4292-a100-f7031b54ecc7)](https://app.netlify.com/sites/neuro-data-proglearn/deploys)

[![Downloads](https://img.shields.io/pypi/dm/proglearn.svg)](https://pypi.org/project/proglearn/#files)

`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