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Creators/Authors contains: "Freeman, Nathan"

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  1. ; ; ; (, Zenodo)
    The adaptation of machine learning (ML) in scientific and medical research in recent years has heralded a new era of innovation, catalyzing breakthroughs that were once deemed unattainable. In this paper, we present the Machine Learning Hub (ML Hub) – a web application offering a single point of access to pre-trained ML models and datasets, catering to users across varying expertise levels. Built upon the NSF-funded Tapis v3 Application Programming Interface (API) and Tapis User Interface (TapisUI), the platform offers a user-friendly interface for model discovery, dataset exploration, and inference server deployment. 
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  2. ; ; ; ; ; ; ; ; ; ; et al (, ACM)
    Free, publicly-accessible full text available July 18, 2026
  3. ; ; ; (, Zenodo)
    The adaptation of machine learning (ML) in scientific and medical research in recent years has heralded a new era of innovation, catalyzing breakthroughs that were once deemed unattainable. In this paper, we present the Machine Learning Hub (ML Hub) – a web application offering a single point of access to pre-trained ML models and datasets, catering to users across varying expertise levels. Built upon the NSF-funded Tapis v3 Application Programming Interface (API) and Tapis User Interface (TapisUI), the platform offers a user-friendly interface for model discovery, dataset exploration, and inference server deployment. 
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    Full Text Available 
  4. ; ; ; ; ; ; ; ; ; (, ACM)
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  5. ; ; ; (, Zenodo)
    The Tapis Pods service is a novel open-source API within the Tapis platform which enables researchers to seamlessly manage Kubernetes containers, volumes, networking, and security at the Texas Advanced Computing Center (TACC). This paper explores the underlying operations, technologies, and workflows of the Tapis Pods service, showcasing its implementation and effectiveness. Additionally, we discuss current and potential use cases, highlighting the service's unique features, such as management capabilities, persistent storage, sharing, and automatically encrypted networking. Initial performance measurements against local Docker containers and alternative cloud solutions demonstrate the Tapis Pods service's competitive performance, emphasizing its value as a general interface for deploying user-defined containers.  
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  6. ; ; ; ; ; (, Computing in Science & Engineering)
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  7. ; ; ; (, ACM)
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  8. ; ; (, ACM)
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