ai4disaster Goto Github PK
Name: AI4Disaster
Type: User
Name: AI4Disaster
Type: User
Regional Seismic Risk Assessment of Infrastructure Systems through Machine Learning: An Active Learning Approach
Data-driven synthesis of broadband earthquake ground motions using artificial intelligence
Awesome papers involving LLMs in Social Science.
Traffic model for the San Francisco Bay Area
Book_1_《编程不难》 | 鸢尾花书:从加减乘除到机器学习;请多多批评指正!
Book_2_《可视之美》 | 鸢尾花书:从加减乘除到机器学习;36章草稿只差一章,还会经过两轮大修大改,欢迎批评指正
Information about buildings is, sufficed to say, a very important aspect not just for urban land registry or transportation but also for disaster/hazard risk assessment. Specifically, typological attributes of buildings like number of residents living in them, number of floors, and many more. The MSc Thesis Research aims at figuring out the typological attributes of the buildings by incorporating deep learning and other proxy information as a means of detecting and characterising the buildings.
Building material classification from Mapillary street-view images
中华人民共和国行政区划数据:省份、城市、区县。**省市区镇三级联动地址数据。城市经纬度数据。
cs224w(图机器学习)2021冬季课程的colab
Software for selecting earthquake ground motions to match a target conditional spectrum
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。
Code for DisasterNet paper
Public repository for earthquake scenarios from the National catalogue / Dépôt public de scénarios de tremblements de terre du catalogue national
Buildings segmentation from satellite imagery and damage classification for each build
Earthquake damage detection using earth-observation (EO) data
A mirror repository for the exposure data and scripts (and associated documentation) used to develop the ESRM20 exposure models
A mirror repository for the European vulnerability database developed as part of ESRM20
Matlab code to select ground motions with the generalized conditional intensity measure approach for eastern Canada
A tensorflow implementation of GCN-LPA
Github page for: Graph Neural Networks for Multivariate Time Series Regression with Application to Seismic Data
Generative Agents: Interactive Simulacra of Human Behavior
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.
This is the web repository of the GEM's Global Exposure Model
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.