vizier VS baybe

Compare vizier vs baybe and see what are their differences.

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vizier baybe
5 1
1,173 179
0.7% 9.6%
9.3 9.9
1 day ago about 16 hours ago
Python Python
Apache License 2.0 Apache License 2.0
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.

vizier

Posts with mentions or reviews of vizier. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-13.

baybe

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

What are some alternatives?

When comparing vizier and baybe you can also consider the following projects:

mango - Parallel Hyperparameter Tuning in Python

modAL - A modular active learning framework for Python

SpaceDrones - A simple learning environment with space drones for evolution-inspired optimization.

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.

Gradient-Free-Optimizers - Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.

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

keras-tuner - A Hyperparameter Tuning Library for Keras

awesome-experimental-standards-deep-learning - Repository collecting resources and best practices to improve experimental rigour in deep learning research.

tune - An abstraction layer for parameter tuning

mlr3hyperband - Successive Halving and Hyperband in the mlr3 ecosystem

DIgging - Decision Intelligence for digging best parameters in target environment.

pyswarms - A research toolkit for particle swarm optimization in Python