evalml VS Sklearn-genetic-opt

Compare evalml vs Sklearn-genetic-opt and see what are their differences.

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evalml Sklearn-genetic-opt
2 6
712 273
1.0% -
8.7 4.6
7 days ago 1 day ago
Python Python
BSD 3-clause "New" or "Revised" License MIT 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.

evalml

Posts with mentions or reviews of evalml. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-19.

Sklearn-genetic-opt

Posts with mentions or reviews of Sklearn-genetic-opt. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-02.

What are some alternatives?

When comparing evalml and Sklearn-genetic-opt you can also consider the following projects:

easyopt - zero-code hyperparameters optimization framework

genetic-algorithm-in-python - A genetic algorithm written in Python for educational purposes.

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.

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

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

sklearn-deap - Use evolutionary algorithms instead of gridsearch in scikit-learn

SAP-HANA-AutoML - Python Automated Machine Learning library for tabular data.

de-torch - Minimal PyTorch Library for Differential Evolution

Auto_ViML - Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

powershap - A power-full Shapley feature selection method.

FEDOT - Automated modeling and machine learning framework FEDOT