AutoML — Weblinks

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TPOT — automated pipeline optimisation with genetic programming Art… 5 terms

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DARTS: Differentiable Architecture Search Pap… 3 terms

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Efficient Neural Architecture Search via Parameter Sharing (ENAS) Pap… 3 terms

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Meta-Learning in Neural Networks: A Survey Pap… 3 terms

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AMLB: an AutoML Benchmark (Gijsbers et al.) Pap… 2 terms

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Auto-sklearn 2.0: Hands-free AutoML via Meta-Learning — portfolio construction and warm starting Pap… 2 terms

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Auto-sklearn documentation Art… 2 terms

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AutoGluon-TimeSeries: automated probabilistic forecasting Art… 2 terms

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Featuretools: automated feature engineering with Deep Feature Synthesis Art… 2 terms

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H2O AutoML documentation: automatic stacked ensembles Docs 2 terms

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Learning Transferable Architectures for Scalable Image Recognition (NASNet) Pap… 2 terms

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Neural Architecture Search with Reinforcement Learning (Zoph and Le) Pap… 2 terms

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Regularized Evolution for Image Classifier Architecture Search (AmoebaNet) Pap… 2 terms

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A System for Massively Parallel Hyperparameter Tuning (ASHA paper, MLSys 2020) Pap… 1 term

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A Tutorial on Bayesian Optimization (Frazier) Pap… 1 term

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Amazon SageMaker Autopilot — AWS developer guide Docs 1 term

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auto-sklearn API — time_left_for_this_task and per_run_time_limit Art… 1 term

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AutoGluon documentation — tabular, multimodal and time-series predictors Art… 1 term

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AutoGluon MultiModal — automated text and multimodal prediction Art… 1 term

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AutoGluon Tabular — automated modelling on tables Art… 1 term

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AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data Pap… 1 term

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AutoKeras documentation and task-level API reference Art… 1 term

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AutoKeras: automated image classification walkthrough Art… 1 term

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AutoML-Zero reference implementation (Google Research) Code 1 term

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AutoML-Zero: Evolving Machine Learning Algorithms From Scratch Pap… 1 term

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automl/SMAC3 — official GitHub repository Code 1 term

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AutoML: A Survey of the State-of-the-Art Pap… 1 term

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BOHB optimizer — HpBandSter documentation Art… 1 term

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BOHB: Robust and Efficient Hyperparameter Optimization at Scale (ICML 2018) Pap… 1 term

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BoTorch — Bayesian Optimization in PyTorch (official site) Art… 1 term

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BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization Pap… 1 term

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Category Encoders: a library of categorical encoding schemes Docs 1 term

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ConfigSpace: declaring conditional configuration spaces in Python Art… 1 term

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EvalML documentation (Alteryx) Art… 1 term

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EvalML source repository on GitHub Code 1 term

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Featuretools source repository on GitHub Code 1 term

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Featuretools: the Deep Feature Synthesis implementation and guide Art… 1 term

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featurewiz: SULOV-based automated feature selection (source and docs) Code 1 term

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FLAML documentation (Microsoft Research) Art… 1 term

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FLAML source repository on GitHub Code 1 term

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Generalizing from a Few Examples: A Survey on Few-Shot Learning Pap… 1 term

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Getting Started with Ray Tune (official guide) Docs 1 term

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H2O Driverless AI user guide (official documentation) Docs 1 term

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H2O Stacked Ensembles: automated super learning Docs 1 term

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Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization (Li et al., JMLR) Pap… 1 term

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Hyperopt — Distributed Asynchronous Hyperparameter Optimization (official docs) Art… 1 term

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hyperopt/hyperopt — official GitHub repository Code 1 term

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Hyperparameter Tuning with ASHA in Ray Tune (official example) Docs 1 term

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Large-Scale Evolution of Image Classifiers (Real et al.) Pap… 1 term

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Ludwig documentation (ludwig.ai) Art… 1 term

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Ludwig source repository on GitHub Code 1 term

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Meta-Learning: Learning to Learn Fast Art… 1 term

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MnasNet: Platform-Aware Neural Architecture Search for Mobile Pap… 1 term

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Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Pap… 1 term

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NAS-Bench-101: Towards Reproducible Neural Architecture Search Pap… 1 term

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NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search Pap… 1 term

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Neural Architecture Search: A Survey (Elsken, Metzen and Hutter) Pap… 1 term

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Neural Predictor for Neural Architecture Search (Wen et al.) Pap… 1 term

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Nevergrad: a gradient-free optimization platform Art… 1 term

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On First-Order Meta-Learning Algorithms (Nichol, Achiam & Schulman) Pap… 1 term

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Once-for-All reference implementation and pretrained supernets Code 1 term

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Once-for-All: Train One Network and Specialize it for Efficient Deployment Pap… 1 term

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OpenFE reference implementation Code 1 term

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OpenFE: Automated Feature Generation with Expert-level Performance Pap… 1 term

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OpenML AutoML Benchmark — framework, datasets and published results Art… 1 term

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OpenML — the open machine learning platform Art… 1 term

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OpenML: Networked Science in Machine Learning (Vanschoren et al.) Pap… 1 term

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Optuna official documentation Docs 1 term

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Optuna — A hyperparameter optimization framework (official site) Art… 1 term

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PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search Pap… 1 term

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pymfe: Python Meta-Feature Extractor Code 1 term

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Random Search for Hyper-Parameter Optimization (Bergstra and Bengio) Pap… 1 term

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Ray Tune: Hyperparameter Tuning — official documentation Docs 1 term

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Reference DARTS implementation on GitHub Code 1 term

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scikit-learn StackingClassifier: stacked generalisation with a final estimator Docs 1 term

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scikit-learn TargetEncoder: cross-fitted target encoding Docs 1 term

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scikit-learn: Cross-validation — evaluating estimator performance Docs 1 term

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scikit-learn: Pipelines and composite estimators Docs 1 term

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SMAC3 — official documentation Art… 1 term

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SMASH: One-Shot Model Architecture Search through HyperNetworks Pap… 1 term

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StatsForecast — automatic statistical forecasting models at scale Code 1 term

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TPOT source repository (EpistasisLab) Code 1 term

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tsfresh documentation — automatic time-series feature extraction Docs 1 term

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tsfresh source repository Code 1 term

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Understanding and Simplifying One-Shot Architecture Search (Bender et al., ICML 2018) Pap… 1 term

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What is automated ML? — Azure Machine Learning documentation Art… 1 term