Popular GitHub Repositories for Health Risk

OpenHealth, AI Health Assistant | Powered by Your Data

The Python Risk Identification Tool for generative AI (PyRIT) is an open source framework built to empower security professionals and engineers to proactively identify risks in generative AI systems.

The code for the paper 'Heterogeneous Risk Minimization' of ICML2021.

Query your Apple Health data with natural language ? ?

心理健康大模型、LLM、The Big Model of Mental Health、Finetune、InternLM2、InternLM2.5、Qwen、ChatGLM、Baichuan、DeepSeek、Mixtral、LLama3、GLM4、Qwen2、LLama3.1

ARCH models in Python

rPPG-Toolbox: Deep Remote PPG Toolbox (NeurIPS 2023)

A wechat robot based on ChatGPT with no risk, very stable! ?

AI-Native Risk Intelligence Systems, OpenDeRisk——Your application system risk intelligent manager provides 7* 24-hour comprehensive and in-depth protection.

Medical Q&A with Deep Language Models

SparkyFitness: Built for Families. Powered by AI. Track food, fitness, water, and health — together.

This extension makes vscode seamlessly work with dbt?: Auto-complete, preview, column lineage, AI docs generation, health checks, cost estimation etc

Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"

This repository contains the code to generate predictions of critical violations at food establishments in Chicago. It also contains the results of an evaluation of the effectiveness of those predictions.

Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)

A vision-language foundation model for computational pathology - Nature Medicine

智能故障诊断和寿命预测期刊（Journals of Intelligent Fault Diagnosis and Remaining Useful Life）

?This repo contains detailed notes and multiple projects implemented in Python related to AI and Finance. Follow the blog here: https://purvasingh.medium.com

A framework for creating grounded instruction based datasets and training conversational domain expert Large Language Models (LLMs).

It is a medical chatbot that will provide quick answers to FAQs by setting up rule-based keyword chatbots.