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Showing 1 to 4 of 4 for “"MLModelScope"”.

  1. MLModelScope website development with react

    With the rapid growth of the MLModelScope project, there is an urgent need for a user interface to show users the available resources, functionalities, and facilitate their experiments. The project was designed to develop a website with React for MLModelScope which entailed providing an interactive …

    uiuc Repository record for MLModelScope website development with react (opens in a new tab)

  2. TensorRT inference performance study in MLModelScope

    … that consists of experiments using TensorRT on MLModelScope, a deep learning inference platform that enables standardized inference and multi-level profiling.

    uiuc Repository record for TensorRT inference performance study in MLModelScope (opens in a new tab)

  3. Performance evaluation of deep learning on smartphones

    … by (a) providing a common interface derived from MLModelScope, referred to as mobile Predictor (mPredictor), (b) providing a benchmarking application and (c) using aforementioned mPredictor and benchmarking application to perform a detailed evaluation. This work has been developed to assist a …

    uiuc Repository record for Performance evaluation of deep learning on smartphones (opens in a new tab)

  4. Performance benchmarking, analysis, and optimization of deep learning inference

    … execution scenarios on GPUs. Finally, we design MLModelScope, a consistent, reproducible, and scalable DL benchmarking platform to facilitate evaluation and comparison of DL innovations. This thesis also briefly discusses TrIMS, TOPS, and CommScope which are developed based on the needs observed …

    uiuc Repository record for Performance benchmarking, analysis, and optimization of deep learning inference (opens in a new tab)