ai4disaster Goto Github PK

2023-big-data-driven-artificial-intelligence

active_learning_regional_risk_assessment

Regional Seismic Risk Assessment of Infrastructure Systems through Machine Learning: An Active Learning Approach

ai_eq_ground_motion

Data-driven synthesis of broadband earthquake ground motions using artificial intelligence

awesome-llm-in-social-science

Awesome papers involving LLMs in Social Science.

baidustreetviewspider

bayareatransportation

Traffic model for the San Francisco Bay Area

book1_python-for-beginners

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！

book2_beauty-of-data-visualization

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

book_deeplearning_in_pytorch_source

building-identification-for-exp-vul-risk-assessment

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

Building material classification from Mapillary street-view images

buildingheightmodel

city

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-2021-winter-colab

cs224w（图机器学习）2021冬季课程的colab

cs_selection

Software for selecting earthquake ground motions to match a target conditional spectrum

d2l-zh

《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。

deep_learning_road_networks

detectron2_hubconf

disasternet

Code for DisasterNet paper

earthquake-scenarios

Public repository for earthquake scenarios from the National catalogue / Dépôt public de scénarios de tremblements de terre du catalogue national

earthquakedamagedetection

Buildings segmentation from satellite imagery and damage classification for each build

eo-damage-detection

Earthquake damage detection using earth-observation (EO) data

esrm20_exposure

A mirror repository for the exposure data and scripts (and associated documentation) used to develop the ESRM20 exposure models

esrm20_vulnerability

A mirror repository for the European vulnerability database developed as part of ESRM20

gcim_gm_eastern_can

Matlab code to select ground motions with the generalized conditional intensity measure approach for eastern Canada

gcn-lpa

A tensorflow implementation of GCN-LPA

gcntimeseriesregression

Github page for: Graph Neural Networks for Multivariate Time Series Regression with Application to Seismic Data

generative_agents

Generative Agents: Interactive Simulacra of Human Behavior

getting-things-done-with-pytorch

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.

global_exposure_model

This is the web repository of the GEM's Global Exposure Model