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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automldeep-learningneural-architecture-searchhyperparameter-optimizationdistributedbayesian-optimizationautomated-machine-learningmachine-learningmachine-learning-algorithmsdata-sciencetensorflowpytorchneural-networkdeep-neural-networkmodel-compressionfeature-engineeringnaspythonhyperparameter-tuningmlops
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{"name":"MIT License","spdxId":"MIT"}
Project Description
A lightweight but powerful toolkit to help users automate feature engineering, neural network architecture search, hyperparameter tuning and model compression