Exploration of BERT-BiLSTM models with Layer Aggregation (attention-based and capsule-routing-based) and Hidden-State Aggregation (attention-based and capsule-routing-based).
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Updated
Mar 24, 2020 - Python
Exploration of BERT-BiLSTM models with Layer Aggregation (attention-based and capsule-routing-based) and Hidden-State Aggregation (attention-based and capsule-routing-based).
The Project is a prototype for Emergency evacuation and simulations in Indian context. Major focus of this project is nuclear plant, chemical gas leak sort of hazards. This projects dynamically generates the evacuation routes during emergency situations.
ETL pipeline combined with a ML model for supervised learning and grid search to classify text messages sent during disaster events
Official repository for the AuroraAxiom project.
Web application platform for disaster management
SAHANA Alerting and Messaging Broker
By developing this Disaster Response Classifier, the project aims to improve the efficiency and effectiveness of disaster response efforts by enabling quick and accurate identification of relevant messages, thereby facilitating targeted assistance and support to those in need during times of crisis.
Research is fun!
Heart of the best disaster prevention tool, Submission for codefundo++
Awarded "The Most Ground Breaking Solution" @ UNESCO Water Resilience Challenge 2024
Disaster information extraction using named entity recognition, we have incorporated a machine learning model which predicts entites in a given iput.
An AI natural disaster assistant in solving personnel, finance, supplies, and transportation needs.
This repository is about optimal distrubution with using dijkstra algorithm Bu repository türkiyede yaşananan deprem felaketine benzer olaylarda vinç ve yardım malzemelerinin en iyi şekilde en iyi sonuca ulaşmasını sağlamak için dijkstra en kısa yol algoritması kullanarak tasarlanmış simülasyon ve arama algoritması içerir
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