
Examples
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Welcome to the DeepPeak examples gallery! This directory contains comprehensive examples demonstrating the key capabilities of the DeepPeak library for signal processing and peak detection using deep learning.


DeepPeak is a Python library designed for detecting and analyzing peaks in 1D signals using machine learning approaches. These examples showcase the library's main features:

- **Signal Generation**: Create synthetic datasets with controllable noise and peak characteristics
- **Machine Learning Classifiers**: Train neural networks to detect regions of interest
- **Peak Detection Algorithms**: Apply traditional and ML-enhanced peak detection methods
- **Visualization Tools**: Plot and analyze results with built-in visualization utilities
