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@cap-ntu

Cloud Application and Platform Lab @ NTU

a leading research group in the area of cloud media computing, content delivery networks, datacenter architecture, and big data analytics

Pinned

  1. ML-Model-CI Public

    MLModelCI is a complete MLOps platform for managing, converting, profiling, and deploying MLaaS (Machine Learning-as-a-Service), bridging the gap between current ML training and serving systems.

    Python 170 30

  2. An intelligent multimodal-learning based system for video, product and ads analysis. Based on the system, people can build a lot of downstream applications such as product recommendation, video ret…

    Python 124 41

  3. Model-based Reinforcement Learning Framework

    Python 107 9

Repositories

  • FedReID Public

    Implementation of Federated Learning to Person Re-identification (Code for ACMMM 2020 paper)

    Python 79 MIT 15 3 3 Updated Aug 4, 2022
  • ML-Model-CI Public

    MLModelCI is a complete MLOps platform for managing, converting, profiling, and deploying MLaaS (Machine Learning-as-a-Service), bridging the gap between current ML training and serving systems.

    Python 170 Apache-2.0 30 26 6 Updated Jul 21, 2022
  • autocomplete Public

    code completion using neural network

    Python 1 Apache-2.0 0 1 29 Updated Jul 21, 2022
  • modelps_demo Public

    Demonstration Page for ModelPS

    TypeScript 0 0 0 0 Updated May 25, 2021
  • onnx Public

    Open standard for machine learning interoperability

    PureBasic 0 Apache-2.0 3,054 0 0 Updated Feb 15, 2021
  • Python 0 BSD-3-Clause 13 0 0 Updated Jan 18, 2021
  • Video-to-Retail-Platform Public

    An intelligent multimodal-learning based system for video, product and ads analysis. Based on the system, people can build a lot of downstream applications such as product recommendation, video retrieval, etc.

    Python 124 Apache-2.0 41 2 0 Updated Jan 10, 2021
  • 0 0 0 0 Updated Nov 20, 2020
  • mlmodelci_mm_demo Public

    Applications supported by MLModelCI, try it yourself!

    TypeScript 2 0 0 0 Updated Oct 12, 2020
  • iTCM-Datasets Public

    These datasets are collected for the GBIC project to conduct research about indoor human thermal comfort. The GBIC research project proposes to develop online thermal comfort models via a deep-learning approach and apply them to behavioral studies to drive “greener, smarter and healthier buildings” in the tropics (e.g., Singapore). Leveraging pr…

    5 1 0 0 Updated Aug 5, 2020

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