Benchmarking Fedot on timeseries forecasting tasks
? A ranked list of awesome machine learning Python libraries. Updated weekly.
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
AutoML library for deep learning
Fast and Accurate ML in 3 Lines of Code
Automated Machine Learning with scikit-learn
An open source python library for automated feature engineering
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.
Google Brain AutoML
An adversarial example library for constructing attacks, building defenses, and benchmarking both
