rai-project/mxnet
MXNet agent for MLModelScope
This is a specialized tool for machine learning developers working with the MLModelScope platform. It allows you to efficiently evaluate the performance of MXNet deep learning models, particularly those from the Gluon Model Zoo. You can input various MXNet models and configurations, then receive detailed performance metrics across different hardware systems and datasets.
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Use this if you are a machine learning engineer or researcher already using MLModelScope and need to benchmark MXNet models consistently across diverse environments.
Not ideal if you are an end-user looking to simply run or deploy a pre-trained MXNet model without detailed performance profiling or are not familiar with MLModelScope.
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Language
Go
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Last pushed
May 04, 2020
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