evalml VS aps2020

Compare evalml vs aps2020 and see what are their differences.

evalml

EvalML is an AutoML library written in python. (by alteryx)
Automl Machine Learning Data Science model-selection hyperparameter-tuning Optimization feature-engineering feature-selection
Source Code
evalml.alteryx.com
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aps2020

Code for the paper 'Variable Selection with Copula Entropy' published on Chinese Journal of Applied Probability and Statistics (by majianthu)
variable-selection feature-selection variable-importance feature-engineering copula-entropy mutual-information distance-correlation hsic
Source Code
arxiv.org
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evalml aps2020
2 2
713 17
1.1% -
8.7 0.0
4 days ago almost 2 years ago
Python R
BSD 3-clause "New" or "Revised" License GNU General Public License v3.0 only
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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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.

aps2020

Posts with mentions or reviews of aps2020. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing evalml and aps2020 you can also consider the following projects:

Sklearn-genetic-opt - ML hyperparameters tuning and features selection, using evolutionary algorithms.

vip - Variable Importance Plots (VIPs)

easyopt - zero-code hyperparameters optimization framework

dcor - Distance correlation and related E-statistics in Python

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.

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

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.

powershap - A power-full Shapley feature selection method.

llm_optimize - LLM Optimize is a proof-of-concept library for doing LLM (large language model) guided blackbox optimization.

FeatureHub - The most comprehensive library of AI/ML features across multiple domains. Our goal is to create a dataset that serves as a valuable resource for researchers and data scientists worldwide

evalml vs Sklearn-genetic-opt aps2020 vs vip evalml vs easyopt aps2020 vs dcor evalml vs Ray evalml vs mljar-supervised evalml vs SAP-HANA-AutoML evalml vs Auto_ViML evalml vs powershap evalml vs llm_optimize evalml vs FeatureHub