mngs 1.8.0

For lazy python users (monogusa people in Japanse), especially in ML/DSP fields

monogusa (= lazy in Japanese)

Python utilities for machine learning and digital signal processing

Overview

Monogusa (mngs) is a comprehensive Python package that provides a collection of utilities for machine learning, digital signal processing, and various other tasks. It aims to simplify common operations and provide efficient tools for developers and researchers.

Features

• Input/Output operations
• Path manipulation
• Digital Signal Processing (DSP) tools
• Resource management
• General utilities
• Plotting functions
• Machine Learning utilities
• Statistical analysis tools

Installation

# PyPI latest
$ pip install mngs

# Development version
$ pip install git+https://github.com/ywatanabe1989/mngs.git@develop

Submodules

• mngs.io: Input/Output operations
• mngs.path: Path manipulation utilities
• mngs.dsp: Digital Signal Processing tools
• mngs.res: Resource management
• mngs.general: General utilities
• mngs.plt: Plotting functions
• mngs.ai: AI and Machine Learning utilities
• mngs.stats: Statistical analysis tools

Documentation

For detailed documentation, please visit our GitHub Pages.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contact

Yusuke Watanabe ([e-mail])