一个基于要石地震预警应用改版的地震模拟软件，内置如今大部分的地震、海啸的预警、推算、反演等算法。所有公式均为国标、地震台网、JMA、USGS等机构给出的标准、论文、文档数据

Machine learning system analyzing Pakistan weather data to predict earthquake likelihood (academic project, 74.1% XGBoost accuracy).

Safety-critical ML pipeline predicting earthquake severity in Nepal (1990-2026). Achieves 100% recall on 2024+ test data using a hybrid USGS/NSC catalog.

A machine learning-driven system designed to analyze seismic patterns and predict earthquake magnitudes or occurrences using historical geological data and time-series forecasting.

ImpactSense: AI-powered seismic risk assessment system. Predicts earthquake alert levels (Green to Red) using advanced ensemble learning.

This repository is a curated list of earthquake prediction models!

Predicting building damage from the 2015 Nepal Gorkha earthquake using ensemble ML models (XGBoost, LightGBM), explainable AI (SHAP), and MLflow tracking

A comprehensive, scientific-grade Python application for earthquake risk assessment that integrates geological, tectonic, and volcanic analysis using advanced machine learning techniques.

This project aims to predict the magnitude and probability of Earthquake occurring in a particular region using the historic data with various machine learning models to find which model is more accurate to accomplish this task.

Machine learning module for MitigasiKita, a web-based early warning system for earthquake and tsunami risk prediction in Indonesia using TensorFlow and Keras.

GeoPredictor is an Earthquake Prediction Model using Machine Learning. The project leverages historical earthquake data to predict the magnitude of future earthquakes based on various geographical features such as latitude, longitude, depth, and distance to the Ring of Fire.

This is my third Machine Learning Project. This repository hosts the code and resources for the Nepal 2015 Earthquake building damage predictor, a part of the DrivenData Competitions. The project aims to predict the level of damage to buildings caused by the 2015 Gorkha earthquake in Nepal based on aspects like building structure and location.

This repository contains a Flask web application that uses a CatBoost regression model to predict earthquake magnitudes. The model is trained using a dataset containing various features related to earthquakes.

🌍 Welcome to the Earthquake Prediction Analysis Project! 🚀 This project aims to predict earthquake magnitudes using LSTM neural networks and analyze seismic data. Explore, analyze, and forecast earthquakes with ease! 📈🔮

Python for Machine Learning Project on Earthquake Prediction using Python

Earthquake Prediction using Regression Models

Earthquake Magnitude Prediction using ML and DL models

This project aims to predict the magnitude and probability of Earthquake occurring in a particular region using the historic data with various machine learning models to find which model is more accurate to accomplish this task.

Deeplearning model to predict earthquake occurence based on realtime data

地牛WakeUP! 連動BOT