emukit VS pybads

Compare emukit vs pybads and see what are their differences.

emukit

A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc. (by EmuKit)

pybads

PyBADS: Bayesian Adaptive Direct Search optimization algorithm for model fitting in Python (by acerbilab)
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emukit pybads
1 1
565 58
0.2% -
5.0 4.7
6 days ago 2 months ago
Python Python
Apache License 2.0 BSD 3-clause "New" or "Revised" License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

emukit

Posts with mentions or reviews of emukit. We have used some of these posts to build our list of alternatives and similar projects.

pybads

Posts with mentions or reviews of pybads. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing emukit and pybads you can also consider the following projects:

monaco - Quantify uncertainty and sensitivities in your computer models with an industry-grade Monte Carlo library.

nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

manticore - Symbolic execution tool

modAL - A modular active learning framework for Python

Hyperactive - An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

baybe - Bayesian Optimization and Design of Experiments

trimmed_match - This Python library implements Trimmed Match for analyzing randomized paired geo experiments and also implements Trimmed Match Design for designing randomized paired geo experiments.

lumos - Code and data for "Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs"