Pinned Repositories
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.
AI4Disaster's Repositories
AI4Disaster/2023-Big-Data-Driven-Artificial-Intelligence
AI4Disaster/AI_EQ_Ground_Motion
Data-driven synthesis of broadband earthquake ground motions using artificial intelligence
AI4Disaster/Awesome-LLM-in-Social-Science
Awesome papers involving LLMs in Social Science.
AI4Disaster/BaiduStreetViewSpider
AI4Disaster/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！
AI4Disaster/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
AI4Disaster/building-material-classification
Building material classification from Mapillary street-view images
AI4Disaster/BuildingHeightModel
AI4Disaster/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。
AI4Disaster/detectron2_hubconf
AI4Disaster/DisasterNet
Code for DisasterNet paper
AI4Disaster/earthquake-scenarios
Public repository for earthquake scenarios from the National catalogue / Dépôt public de scénarios de tremblements de terre du catalogue national
AI4Disaster/eo-damage-detection
Earthquake damage detection using earth-observation (EO) data
AI4Disaster/esrm20_exposure
A mirror repository for the exposure data and scripts (and associated documentation) used to develop the ESRM20 exposure models
AI4Disaster/esrm20_vulnerability
A mirror repository for the European vulnerability database developed as part of ESRM20
AI4Disaster/GCNTimeseriesRegression
Github page for: Graph Neural Networks for Multivariate Time Series Regression with Application to Seismic Data
AI4Disaster/generative_agents
Generative Agents: Interactive Simulacra of Human Behavior
AI4Disaster/global_exposure_model
This is the web repository of the GEM's Global Exposure Model
AI4Disaster/gmhazard
AI4Disaster/hist_GC_systemdynamics
AI4Disaster/KDD2023-ID546-UrbanInfra
AI4Disaster/Knowledge-and-Topology
AI4Disaster/ML-for-building-typologies
ML code to automatically identify the different building typologies in a city, Case study of Oslo (Norway)
AI4Disaster/MSLASSO
Multi-split LASSO algorithm
AI4Disaster/probabilistic-programming
Experimenting with and teaching probabilistic programming
AI4Disaster/satellite-image-deep-learning
Resources for deep learning with satellite & aerial imagery
AI4Disaster/semantic-segmentation-pytorch
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
AI4Disaster/urban-visual-intelligence
AI4Disaster/VBCI
Variational Causal Bayesian Inference for Seismic Multi-hazard Estimation from Satellite Images
AI4Disaster/zihao_course
同济子豪兄的公开课