nni | An open source AutoML toolkit for neural architecture search and hyper-parameter tuning.
Who should consider using NNI Those who want to try different AutoML algorithms in their training code (model) at their local machine. Those who want to run AutoML trial jobs in different environments to speed up search (e.g. remote servers and cloud). Researchers and data scientists who want to implement their own AutoML algorithms and compare it with other algorithms. ML Platform owners who want
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GitHub - microsoft/nni: An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
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