Sklearn-genetic-opt VS evalml

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

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Sklearn-genetic-opt evalml
6 2
271 712
- 1.0%
4.6 8.7
6 days ago 5 days ago
Python Python
MIT License 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.

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.

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.

What are some alternatives?

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

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

easyopt - zero-code hyperparameters optimization framework

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

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.

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

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

de-torch - Minimal PyTorch Library for Differential Evolution

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

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

FEDOT - Automated modeling and machine learning framework FEDOT

powershap - A power-full Shapley feature selection method.