hypergbm (conda): HyperGBM is a full pipeline automated machine learning (AutoML) toolkit designed for tabular data. It covers the complete end-to-end ML processing stages, consisting of data cleaning, preprocessing, feature generation and selection, model selection and hyperparameter optimization.
Keywords: adversarial-validation|automl|catboost|dask|dask-distributed|datacleaning|distributed-training|ensemble-learning|fullpipeline|gbm|gpu-acceleration|lightgbm|preprocessing|pseudo-labeling|rapidsai|semi-supervised-learning|sklearn|tabular-data|xgboost