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nimbus-gateway

Popular repositories

  1. local_digital_thread local_digital_thread Public

    This is an orchestration tool for the data pipelines to gather data from different sources in manufacturing flows. This can be deployed across Edge, FoG or Cloud to collect data. Data can be then a…

    Python

  2. cords-semantics-lib cords-semantics-lib Public

    Cords-Semantics is a Python library designed for tagging the artifacts of MLflow runs and generating semantic descriptions for artifacts using the ontology provided by CORDS.

    Python

  3. cords-resource-manager cords-resource-manager Public

    The CORDS ML Manager is an API for managing ML assets from MLFlow, integrating with CORDS-local-digital-thread and IDSA Data Applications. It offers comprehensive ML model management and enhances s…

    Python

  4. Flower-With-MLflow Flower-With-MLflow Public

    This is a simple demonstration of how MLflow can be utilised to track and trace local ML models trained in a Federated Learning set-up.

    Python

  5. cords-mve cords-mve Public

    Minimal Viable Ecosystem For CORDS

    Python

Repositories

Showing 5 of 5 repositories
  • cords-mve Public

    Minimal Viable Ecosystem For CORDS

    Python 0 Apache-2.0 0 0 0 Updated May 30, 2024
  • cords-resource-manager Public

    The CORDS ML Manager is an API for managing ML assets from MLFlow, integrating with CORDS-local-digital-thread and IDSA Data Applications. It offers comprehensive ML model management and enhances semantic organization through CORDS-Semantic-lib, ensuring efficient cataloging and accessibility of ML artifacts.

    Python 0 Apache-2.0 0 0 0 Updated May 29, 2024
  • Flower-With-MLflow Public

    This is a simple demonstration of how MLflow can be utilised to track and trace local ML models trained in a Federated Learning set-up.

    Python 0 Apache-2.0 0 0 0 Updated May 21, 2024
  • cords-semantics-lib Public

    Cords-Semantics is a Python library designed for tagging the artifacts of MLflow runs and generating semantic descriptions for artifacts using the ontology provided by CORDS.

    Python 0 Apache-2.0 0 0 0 Updated Apr 29, 2024
  • local_digital_thread Public

    This is an orchestration tool for the data pipelines to gather data from different sources in manufacturing flows. This can be deployed across Edge, FoG or Cloud to collect data. Data can be then accessed using OPC UA protocol.

    Python 0 Apache-2.0 0 0 0 Updated Jan 7, 2024

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