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- quicktune Public
We meta-learn a gray-box performance predictor on the learning curves and use it for fast hyperparameter optimization on new datasets. We empirically demonstrate that our resulting approach can quickly select an accurate pretrained model for a new dataset together with its optimal hyperparameters.
automl/quicktune’s past year of commit activity - tabpfn-client Public
automl/tabpfn-client’s past year of commit activity - hypersweeper Public
Hydra sweeper integration of our favorite optimization packages, utilizing ask-and-tell interfaces.
automl/hypersweeper’s past year of commit activity - CAAFE Public
Semi-automatic feature engineering process using Language Models and your dataset descriptions. Based on the paper "LLMs for Semi-Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering" by Hollmann, Müller, and Hutter (2023).
automl/CAAFE’s past year of commit activity