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- GitHub - chrisstroemel/Simple: Experimental Global Optimization Algorithm https://github.com/chrisstroemel/Simple 22 comments
- GitHub - reiinakano/xcessiv: A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python. https://github.com/reiinakano/xcessiv 13 comments
- GitHub - blue-yonder/tsfresh: Automatic extraction of relevant features from time series: https://github.com/blue-yonder/tsfresh 8 comments
- GitHub - automl/auto-sklearn: Automated Machine Learning with scikit-learn https://github.com/automl/auto-sklearn 1 comment
- GitHub - alteryx/featuretools: An open source python library for automated feature engineering https://github.com/Featuretools/featuretools 1 comment
- GitHub - EpistasisLab/tpot: A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming. https://github.com/EpistasisLab/tpot 0 comments
- GitHub - h2oai/h2o-3: H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc. https://github.com/h2oai/h2o-3 0 comments
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