Showing 4 open source projects for "linux ai"

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  • 1
    Conversational Health Agents (CHA)

    Conversational Health Agents (CHA)

    A Personalized LLM-powered Agent Frameworks

    CHA, or Conversational Health Agents, is an open-source framework designed to build intelligent healthcare assistants powered by large language models and external data sources. The system enables developers to create personalized AI agents that can interact with users through natural language while performing multi-step reasoning and task execution. It integrates orchestration capabilities that allow the agent to gather information from APIs, knowledge bases, and external services in order...
    Downloads: 0 This Week
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  • 2
    Open Wearables

    Open Wearables

    Unified API for 200+ wearables. Self-hosted, no fees.

    Open-source, self-hosted health intelligence platform that unifies data from 200+ wearables into a single API. Built to democratize access to wearable data infrastructure that's typically locked behind enterprise contracts - deploy with docker-compose, own your data, no per-user fees.
    Downloads: 3 This Week
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  • 3
    HealthFusion

    HealthFusion

    AI Disease Detections System

    HealthFusion has identified a critical business problem, which is the lack of accessibility and timely detection of multiple diseases. The traditional approach of detecting diseases is time-consuming, expensive, and not accessible to everyone, especially in remote areas. This problem can lead to delayed diagnosis and treatment, which can have serious consequences for patients. The proposed solution, HealthFusion, is novel and practical as it offers a comprehensive solution to detect...
    Downloads: 0 This Week
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  • 4
    covid-chestxray-dataset

    covid-chestxray-dataset

    We are building an open database of COVID-19 cases with chest X-ray

    To build a public open dataset of chest X-ray and CT images of patients who are positive or suspected of COVID-19 or other viral and bacterial pneumonia (MERS, SARS, and ARDS.). Data will be collected from public sources as well as through indirect collection from hospitals and physicians. All images and data will be released publicly in this GitHub repo. This project is approved by the University of Montreal's Ethics Committee #CERSES-20-058-D. We can extract images from publications. Help...
    Downloads: 0 This Week
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