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AxeldeRomblay avatar

AxeldeRomblay/MLBox

0
View on GitHub↗
1,536 stars·273 forks·Python·8 viewsmlbox.readthedocs.io/en/latest↗

MLBox

MLBox is a powerful Automated Machine Learning python library.

Features

  • Automated Machine Learning - Automated machine learning library for data preprocessing and modeling.
  • AutoML - Powerful automated machine learning library.

Star history

Star history chart for axelderomblay/mlboxStar history chart for axelderomblay/mlbox

How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.

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Open-source alternatives to MLBox

Similar open-source projects, ranked by how many features they share with MLBox.
  • alteryx/evalmlalteryx avatar

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    EvalML is an AutoML library written in python.

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  • automl/auto-sklearnautoml avatar

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    This is a scikit-learn automated machine learning framework designed to optimize model selection and hyperparameters. It functions as an automated model selector and hyperparameter optimization tool for classification and regression tasks, utilizing an automated ensemble builder to combine high-performing models for increased predictive accuracy. The system features a distributed search engine that uses Dask for parallel machine learning optimization across CPU cores or clusters. It implements a budget-based evaluation strategy through successive halving to prioritize promising model configur

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  • automl/auto-pytorchautoml avatar

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    Automatic architecture search and hyperparameter optimization for PyTorch

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  • awslabs/autogluonawslabs avatar

    awslabs/autogluon

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    AutoGluon is an automated machine learning framework designed to optimize model selection and hyperparameter tuning across tabular, text, image, and time series data. It functions as an ensemble learning library and a tabular data prediction engine, aiming to build high-accuracy predictive models without manual algorithm selection. The framework integrates multimodal machine learning pipelines that combine disparate data types into a single representation using specialized encoders. It also includes a probabilistic time series forecaster that fits multiple statistical and deep learning models

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See all 30 alternatives to MLBox→

Frequently asked questions

What does axelderomblay/mlbox do?

MLBox is a powerful Automated Machine Learning python library.

What are the main features of axelderomblay/mlbox?

The main features of axelderomblay/mlbox are: Automated Machine Learning, AutoML.

What are some open-source alternatives to axelderomblay/mlbox?

Open-source alternatives to axelderomblay/mlbox include: alteryx/evalml — EvalML is an AutoML library written in python. keras-team/autokeras — AutoKeras is an automated machine learning framework and Keras AutoML library designed to discover the most effective… automl/auto-pytorch — Automatic architecture search and hyperparameter optimization for PyTorch. automl/auto-sklearn — This is a scikit-learn automated machine learning framework designed to optimize model selection and hyperparameters.… awslabs/autogluon — AutoGluon is an automated machine learning framework designed to optimize model selection and hyperparameter tuning… microsoft/flaml — FLAML is an automated machine learning framework, hyperparameter optimization tool, and large language model agent…