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</h1>
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---
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<h4 align="center">Instance selection methods for semi-supervised learning.</h4>
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<div align="center">
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---
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<p align="center">
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<a href="#key-features">Key Features</a> •
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<a href="#setup">Setup</a> •
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<a href="#usage-guide">Usage guide</a> •
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<a href="#download">Download</a> •
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<a href="#credits">Credits</a> •
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<a href="#related">Related</a> •
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<a href="#license">License</a>
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<a href="#description">Project Description</a> •
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<a href="#download-and-installation">Download and Installation</a> •
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<a href="#dependencies">Dependencies</a> •
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<a href="#support">Support</a>
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</p>
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---
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## Description
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This project has an implementation of common algorithms in the literature, both instance selection algorithms and semi-supervised learning algorithms.
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## Key Features
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* TBD
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## Setup
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TBD
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Among the objectives of the project is that the implemented algorithms are correct and complete with their respective original papers in which they were presented.
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## Usage guide
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Likewise, there are multiple experiment configuration files for the aforementioned verification, and for the realization of a research process on the behavior of semi-supervised learning algorithms when noise filtering is performed.
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TBD
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---
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## Download and installation
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IS-SSL is distributed under two libraries, both are available in their last
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versions in PIP.
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- Instance Selection Algorithms. [PIP](https://pypi.org/project/InstanceSelectionDNX/).
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````bash
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pip install InstanceSelectionDNX
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````
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- Semi-Supervised Algorithms. [PIP](https://pypi.org/project/SemiSupervisedLearningDNX/).
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````bash
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pip install SemiSupervisedLearningDNX
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````
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## Download
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Being the nature a Python project, it is easily importable from within the
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repo and its [releases](https://github.com/dpr1005/Semisupervised-learning-and-instance-selection-methods/releases).
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TBD
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## Credits
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---
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## Dependencies
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This software uses the following open source packages:
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- [scikit-learn](https://sklearn.org)
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- [NumPy](https://numpy.org)
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- [Pandas](https://pandas.pydata.org/)
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- [Scikit-Learn](https://sklearn.org)
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- [Scipy](https://scipy.org)
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## Related
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TBD
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---
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## Support
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<a href="https://buymeacoffee.com/danielpuente" target="_blank"><img src="https://www.buymeacoffee.com/assets/img/custom_images/purple_img.png" alt="Buy Me A Coffee" style="height: 41px !important;width: 174px !important;box-shadow: 0px 3px 2px 0px rgba(190, 190, 190, 0.5) !important;-webkit-box-shadow: 0px 3px 2px 0px rgba(190, 190, 190, 0.5) !important;" ></a>
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## License
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MIT
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> GitHub [@dpr1005](https://github.com/dpr1005) &nbsp;&middot;&nbsp;

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