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
Apache SystemML
SystemML is now SystemDS To reflect the change of focus to the end-to-end data science lifecycle What is SystemDS? SystemDS is an open source ML system for the end-to-end data science lifecycle from data integration, cleaning, and feature engineering, over efficient, local and distributed ML model training, to deployment and serving. To this end, it provides a stack of declarative languages with R
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