Welcome to the Seismology repository! This project is dedicated to the application of machine learning techniques in the field of seismology. Our goal is to provide tools and resources for analyzing seismic data and improving earthquake detection and characterization.
Seismology is a project aimed at leveraging machine learning to enhance the analysis of seismic data. By utilizing advanced algorithms, we aim to improve the accuracy and efficiency of earthquake detection and characterization.
- Data Preprocessing: Tools for cleaning and preparing seismic data for analysis.
- Machine Learning Models: Implementation of various ML models for seismic event detection and classification.
- Visualization: Tools for visualizing seismic data and model outputs.
- Benchmarking: Standardized benchmarks for evaluating model performance.
This project utilizes the following data sources:
To get started with Seismology, clone the repository:
git clone https://github.com/aradfarahani/Seismology.git
cd SeismologyWe welcome contributions from the community! If you'd like to contribute, please follow these steps:
- Fork the repository.
- Create a new branch (
git checkout -b feature-branch). - Make your changes.
- Commit your changes (
git commit -m 'Add new feature'). - Push to the branch (
git push origin feature-branch). - Open a pull request.
This project is licensed under the MIT License. See the LICENSE file for more details.
We would like to thank all the contributors and the open-source community for their support.
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