Lennart Purucker's Projects
AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data
Website for the AutoML seminars
OpenML AutoML Benchmarking Framework
Repository for Reproducibility for the Paper: "CMA-ES for Post Hoc Ensembling in AutoML: A Great Success and Salvageable Failure".
Automatic architecture search and hyperparameter optimization for PyTorch
A Python library for dynamic classifier and ensemble selection
Latex Template for AutoML-Conf
Python module to interface with OpenML
PHEM: A collection of Post Hoc Ensemble Methods for (Auto)ML
Repository for Reproducibility for the Paper: "Q(D)O-ES: Population-based Quality (Diversity) Optimisation for Post Hoc Ensemble Selection in AutoML"
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
A method to quickly estimate the number of pruned subgroups that a subgroup discovery algorithm needs to evaluate.