This repository contains a collection of machine learning (ML) packages for the Pip package manager. The purpose of this project is to simplify the installation process for users by providing a single Pip package that includes various data science and ML libraries. By doing so, it aims to streamline programming for developers who wish to avoid dealing with specific dependencies.
To install the packages, you can use the following command in your terminal:
pip install chady
Make sure you have Pip installed and configured correctly on your system before running this command.
The chady package includes several popular data science and ML libraries. Here is a list of the libraries currently included:
- NumPy
- pandas
- scikit-learn
- TensorFlow
- Keras
- PyTorch
- Matplotlib
- seaborn
- NLTK
- OpenCV
- spaCy
Please note that the version of each library included may not be the latest. It is recommended to check the documentation of each library for any specific version requirements.
This repository is open source, and contributions are welcome. If you would like to contribute by adding more ML packages or updating existing ones, please follow these steps:
- Fork the repository on GitHub.
- Create a new branch for your changes.
- Make the necessary modifications or additions to the code.
- Test your changes to ensure they work as expected.
- Submit a pull request to the
mainbranch of the original repository.
Please ensure that your contributions align with the goals of the project and follow the established coding style.
If you encounter any issues or have suggestions for improvements, please submit them in the repository's issue tracker on GitHub. Provide a clear and detailed description of the problem or suggestion, along with any relevant information that may help in addressing it.
This project is licensed under the MIT License. Feel free to use, modify, and distribute it according to the terms of the license.
While this repository aims to simplify the installation of ML packages, it is important to note that the inclusion of specific packages and their versions may not meet the requirements of every project. It is recommended to carefully consider the dependencies and requirements of your project before using the chady package. The authors and contributors of this repository are not responsible for any issues or conflicts that may arise from its usage.