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