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CONTRIBUTING.md

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Aim:

This repository contains the implementation of machine learning and deep learning algorithms from scratch as well as using different libraries like Keras, TensorFlow, PyTorch, etc. The goal is to have a single resource where people can find all kinds of possible implementations of basic algorithms in ML and DL so that this becomes a standard reference for base models and projects involving the use of these algorithms.

To contribute to the repository:

  1. Fork the repository.
  2. Add the implementation of the algorithm with a clearly defined filename for the script or the notebook.
  3. Test the implementation thoroughly and make sure that it works with some dataset.
  4. Add a link with a short description about the file in the README.md.
  5. Create a pull request for review with a short description of your changes.
  6. Do not forget to add attribution for references and sources used in the implementation.