baybe VS vizier

Compare baybe vs vizier and see what are their differences.

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baybe vizier
1 5
185 1,174
11.5% 0.8%
9.9 9.3
about 8 hours ago 7 days 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.

baybe

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

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.

What are some alternatives?

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

modAL - A modular active learning framework for Python

mango - Parallel Hyperparameter Tuning in Python

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.

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

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

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

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

keras-tuner - A Hyperparameter Tuning Library for Keras

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