ALEF

github.com · checked 14 Nov 2026

#5 · Active Learning Tools

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How it plugs in

—Public API

NoOpen source

YesFree tier

Signal on Active Learning Tools5.8#5 of 16

ALEF provides classes and scripts for active learning of stochastic models such as Gaussian Processes.

Pricing

ALEF (AGPL-3.0 open-source software)Not stated · AGPL-3.0 licenseFree

As github.com lists them, checked 14 Nov 2026.

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Facts

Website: github.com
Price: Free tier
Free trial: No
Availability: The repository page lists no releases or packages.
Bayesian optimization: The Bayesian optimization module implements query-based optimization with acquisition functions such as GP-UCB and EI.
Design methods: Its experimental-design methods include pool-based, oracle-based, and safe active learning, as well as Bayesian optimization.
Examples: The main usage of the repository's building blocks is illustrated in Jupyter notebooks.
License: The software is open-sourced under the AGPL-3.0 license.
Models and kernels: Implemented models include standard and marginalized-hyperparameter GPs and Deep GPs; kernels include Deep Kernels and Neural Kernel Network.
Pool-based learning: The pool-based learner can use acquisition functions including Entropy and Variance and validation metrics including RMSE and NLL.
Safe learning: Safe active learning uses a safety model, a data pool with safety labels, and a safety threshold.
Security: The opened repository page does not provide a product security or compliance statement.
Setup: The repository instructs users to create its Conda environment and install the package in editable mode with pip.
Support: For code questions, the README names Matthias Bitzer and Cen-You Li as contacts.

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