rai-project/mlmodelscope
MLModelScope is an open source, extensible, and customizable platform to facilitate evaluation and measurement of ML models within AI pipelines.
This platform helps AI researchers, ML engineers, and data scientists reliably compare and evaluate machine learning models. It takes various ML models, datasets, and hardware configurations as input, then outputs standardized evaluation metrics and performance profiles. This allows users to accurately understand how models perform in real-world AI workflows and across different technical environments.
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Use this if you need to systematically evaluate, compare, and reproduce the performance or accuracy of different machine learning models across various hardware and software setups.
Not ideal if you are looking for a tool purely for model training or data annotation, rather than rigorous evaluation and profiling.
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50
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9
Language
JavaScript
License
NCSA
Category
Last pushed
Aug 19, 2024
Commits (30d)
0
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