rl-baselines3-zoo VS optuna

Compare rl-baselines3-zoo vs optuna and see what are their differences.

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rl-baselines3-zoo optuna
11 32
1,731 9,471
4.5% 3.0%
6.3 9.9
17 days ago 1 day ago
Python Python
MIT License GNU General Public License v3.0 or later
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.

rl-baselines3-zoo

Posts with mentions or reviews of rl-baselines3-zoo. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-26.

optuna

Posts with mentions or reviews of optuna. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-09.

What are some alternatives?

When comparing rl-baselines3-zoo and optuna you can also consider the following projects:

Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

hyperopt - Distributed Asynchronous Hyperparameter Optimization in Python

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

stable-baselines - A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

mljar-supervised - Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

pyGAM - [HELP REQUESTED] Generalized Additive Models in Python

gym-pybullet-drones - PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control

rl-baselines-zoo - A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

pg_plan_advsr - PostgreSQL extension for automated execution plan tuning

pybullet-gym - Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.

SMAC3 - SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization