Popular GitHub Repositories for Mental Health Awareness

OpenHealth, AI Health Assistant | Powered by Your Data

Official implementation of Character Region Awareness for Text Detection (CRAFT)

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

A modern, web-based photo management server. Run it on your home server and it will let you find the right photo from your collection on any device. Smart filtering is made possible by object recognition, face recognition, location awareness, color analysis and other ML algorithms.

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

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

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

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.

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）

multi_task_NLP is a utility toolkit enabling NLP developers to easily train and infer a single model for multiple tasks.

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.

ECG arrhythmia classification using a 2-D convolutional neural network

Multimodal Question Answering in the Medical Domain: A summary of Existing Datasets and Systems

HI-ML toolbox for deep learning for medical imaging and Azure integration

[ECCV 2024] Improving 2D Feature Representations by 3D-Aware Fine-Tuning