https://github.com/dpuenteramirez/semisupervised-learning-and-instance-selection-methods

TFG - Semisupervised learning and instance selection methods
https://github.com/dpuenteramirez/semisupervised-learning-and-instance-selection-methods

instance-selection-methods jupyter python safe-semi-supervised-learning semi-supervised-learning semisupervised-learning

Last synced: 9 months ago
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TFG - Semisupervised learning and instance selection methods

• Host: GitHub
• URL: https://github.com/dpuenteramirez/semisupervised-learning-and-instance-selection-methods
• Owner: dpuenteramirez
• License: bsd-3-clause
• Created: 2021-10-27T08:08:19.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2022-11-15T18:33:09.000Z (over 3 years ago)
• Last Synced: 2025-04-22T14:21:46.711Z (about 1 year ago)
• Topics: instance-selection-methods, jupyter, python, safe-semi-supervised-learning, semi-supervised-learning, semisupervised-learning
• Language: Jupyter Notebook
• Homepage: https://dpuenteramirez.github.io/Semisupervised-learning-and-instance-selection-methods/
• Size: 87.1 MB
• Stars: 10
• Watchers: 3
• Forks: 4
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          



  


  

  


  Instance Selection - Semi-Supervised Learning

  




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Instance selection methods for semi-supervised learning.



  

  

  

  

   

  


  







  

  


  

  



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  Project Description •

  Download and Installation •

  Dependencies •

  Support



---

## Description

This project has an implementation of common algorithms in the literature, both instance selection algorithms and semi-supervised learning algorithms.

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.

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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## Available for MLaaS

All the algorithms that make up this library are available in [UBUMLaaS](https://github.com/dpr1005/ubumlaas), an Open Source MLaaS tool.

---

## Download and installation

IS-SSL is distributed under two libraries, both are available in their last 

versions in PIP. 

- Instance Selection Algorithms. [PIP](https://pypi.org/project/InstanceSelectionDNX/).

  

````bash

pip install InstanceSelectionDNX

````

- Semi-Supervised Algorithms. [PIP](https://pypi.org/project/SemiSupervisedLearningDNX/).

````bash

pip install SemiSupervisedLearningDNX

````

Being a Python project, it is easily importable from within the 

repo and its [releases](https://github.com/dpr1005/Semisupervised-learning-and-instance-selection-methods/releases).

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## Dependencies

This software uses the following open source packages:

- [NumPy](https://numpy.org)

- [Pandas](https://pandas.pydata.org/)

- [Scikit-Learn](https://sklearn.org)

- [Scipy](https://scipy.org)

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## Support



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> GitHub [@dpr1005](https://github.com/dpr1005)  · 

> Twitter [@callmednx](https://twitter.com/callmednx)  · 

> LinkedIn [Daniel Puente Ramírez](https://www.linkedin.com/in/danielpuenteramirez/)