Popular GitHub Repositories for Severity

[IV2024] MultiCorrupt: A benchmark for robust multi-modal 3D object detection, evaluating LiDAR-Camera fusion models in autonomous driving. Includes diverse corruption types (e.g., misalignment, miscalibration, weather) and severity levels. Assess model performance under challenging conditions.

Perform a survival analysis based on the time-to-event (death event) for the subjects. Compare machine learning models to assess the likelihood of a death by heart failure condition. This can be used to help hospitals in assessing the severity of patients with cardiovascular diseases and heart failure condition.

Severity scoring and exploit categorisation for vulnerability reports using machine-learning tools.

The AI model recognizes burned wounds, determines their severity, and shows the user the severity of the wounds and the first aid manual.

Code of our paper "Method-Level Bug Severity Prediction using Source Code Metrics and LLMs" which is accepted to ISSRE 2023.

LLM-powered analyzer identifying security events, errors, and anomalies in logs, visualized via Elasticsearch.

AI-Depression Detector uses Deep Learning model which is built on top of CNN architecture to analyse patient expressions and input to known the level of severity of the depression . It also uses PHQ-9 to get more insight from the patients.

Web app to Predict of US traffic accidents severity based on weather conditions like visibility, temperature and weather categories like rain, snow, foggy etc as well as based on US location and the day of the week.

App that detects severity of Diabetic Retinopathy using TensorflowLite model trained from scratch in Google Colab notebook.

A real-time EHR pipeline that simulates MIMIC-IV patient data streams, performs feature engineering and severity scoring with machine learning, and delivers augmented outputs to Snowflake for downstream analytics, decision support, and monitoring.

RiskBERT is a significant step forward, making it easier than ever to incorporate text fragments into various applications, such as insurance frequency and severity models, or other GLM-based models. Feel free to explore and utilize RiskBERT for your text analysis needs.

A django web app that predicts the disease and severity based on the symptoms collected from user

Official Respository of the paper A Hierarchical Assessment of Adversarial Severity (Best Paper Award at ICCV2021 Workshop AROW)

This project delves into traffic collisions in California, employing several different machine learning algorithms to try to predict the severity of a traffic collision using pre-collision variables.

Predict severity of software vulnerabilities using Deep Neural Networks and Gradient Boosting (XGBoost)

Interpretable Anomaly Severity Detection on UAV Flight Log Messages

Deep Learning (CNN) for prediction of severity in subjects suffering from sleep breathing disorders.

A project for lung disease detection and analysis using deep learning. It includes lung segmentation, disease classification, and severity localization with Grad-CAM for visual explanations. This repository provides code, datasets, and documentation for replication and further research.

KL severity grading using SE-ResNet and SE-DenseNet architectures trained with Cross Entropy loss and Focal Loss. The hyperparameters of focal loss have been fine-tuned as well. Further, Grad-CAM has been implemented for visualization purposes.

AI-powered medical assistant chatbot for symptom checking, disease prediction, severity analysis, and self-care guidance