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nni

microsoft / nni

Star 12.1k

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
python data-science machine-learning deep-learning neural-network tensorflow machine-learning-algorithms pytorch distributed hyperparameter-optimization feature-engineering nas bayesian-optimization hyperparameter-tuning automl automated-machine-learning model-compression neural-architecture-search deep-neural-network mlops
  • Updated Oct 24, 2022
  • Python
mljar-supervised

mljar / mljar-supervised

Star 2.3k

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
data-science machine-learning neural-network random-forest scikit-learn xgboost hyperparameter-optimization lightgbm ensemble feature-engineering decision-tree hyper-parameters automl automated-machine-learning catboost automatic-machine-learning mljar shap tuning-algorithm models-tuning
  • Updated Oct 21, 2022
  • Python

salesforce / TransmogrifAI

Star 2.1k

TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning
machine-learning scala ai spark dsl transformations ml transformers estimators sparkml pipelines salesforce structured-data feature-engineering features einstein automl automated-machine-learning transmogrification transmogrify
  • Updated Feb 24, 2022
  • Scala

microsoft / FLAML

Star 2.1k

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP. Documentation:
python data-science machine-learning natural-language-processing deep-learning random-forest scikit-learn jupyter-notebook tabular-data regression tuning hyperparameter-optimization classification natural-language-generation automl automated-machine-learning finetuning timeseries-forecasting hyperparam
  • Updated Oct 27, 2022
  • Jupyter Notebook

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