Kurvy ~ Trigonometric Curve Approximation Toolkit

💡 What is it?

kurvy is a Python package that helps approximate trigonometric curves by implementing a gradient descent algorithm.

Features

• Find the optimal parameters for trigonometric-like data.
• Customize training loops.
• Add momentum to parameter updates.
• Apply L2 regularization.
• Randomly generate trigonometric data and errors.

🛠️ Setup

Install it from PyPI by running pip install kurvy.

Dependencies

The code was written with Python 3.9.16, and it is recommended to run it in a virtual environment. All the required libraries are listed in the requirements.txt file in this repo.

🚀 Execution

Once the package has been installed, it is simply a case of experimenting with the various classes and functions. For a quickstart, please see the demo.

📝 Documentation

Documentation is currently available in the form of docstrings.

⚖️ License

The project is licensed under the MIT license.