For lazy python users (monogusa people in Japanse), especially in ML/DSP fields
Project description
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 operationsmngs.path
: Path manipulation utilitiesmngs.dsp
: Digital Signal Processing toolsmngs.res
: Resource managementmngs.general
: General utilitiesmngs.plt
: Plotting functionsmngs.ai
: AI and Machine Learning utilitiesmngs.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 (ywata1989@gmail.com)
Project details
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