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AutoML-Freiburg-Hannover's Projects

amltk icon amltk

A build-it-yourself AutoML Framework

auto-pytorch icon auto-pytorch

Automatic architecture search and hyperparameter optimization for PyTorch

autodl-contrib icon autodl-contrib

Join us and be credited for AutoDL challenge - the next big thing in automated machine learning. Organized by Google, ChaLearn and 4Paradigm.

autofolio icon autofolio

Automated Algorithm Selection with Hyperparameter Optimization

automl_common icon automl_common

This repository holds shared utilities that AutoML frameworks may benefit from.

automl_sphinx_theme icon automl_sphinx_theme

Write easy documentations with the AutoML sphinx theme. No sphinx knowledge necessary. See the documentation to get a preview:

automl_template icon automl_template

A template that provides all the tools to ensure the same project setup across all AutoML packages.

bo-afs icon bo-afs

For BO: Select Acquisition Function (Schedule) with Meta-Learned Model Per-Run

boah icon boah

BOAH: Bayesian Optimization & Analysis of Hyperparameters

caafe icon caafe

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).

carl icon carl

Benchmarking RL generalization in an interpretable way.

cave icon cave

[deprecated] Configuration Assessment, Visualization and Evaluation

configspace icon configspace

Domain specific language for configuration spaces in Python/Cython. Useful for hyperparameter optimization and algorithm configuration.

cpr icon cpr

Constraint Parameter Regularization

dac icon dac

Dynamic Algorithm Configuration

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