kurvy is a Python package that helps approximate trigonometric curves by implementing a gradient descent algorithm.
- 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.
Install it from PyPI by running pip install kurvy.
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.
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 is currently available in the form of docstrings.
The project is licensed under the MIT license.