Showing 1-17 of 17 projects
An open-source AutoML toolkit for automating the machine learning lifecycle, including feature engineering, neural architecture search, and hyperparameter tuning.
Fast and accurate machine learning framework that can build models in just 3 lines of Python code.
A Python Automated Machine Learning tool that optimizes ML pipelines using genetic programming.
AutoKeras is an open-source AutoML library for deep learning that automates the model selection and hyperparameter tuning process.
Automated Machine Learning with scikit-learn
An open-source Python library for automated feature engineering in machine learning.
A fast library for AutoML and hyperparameter tuning that can be used for various machine learning tasks.
An AutoML Python package for tabular data with feature engineering, hyperparameter tuning, and automatic documentation.
Automatically visualize any dataset, any size with a single line of code, built for vibe coders.
Automated machine learning for analytics & production use cases powered by popular ML libraries.
Fast AutoAugment is an official PyTorch implementation for automatic data augmentation.
MLBox is a powerful automated machine learning Python library that simplifies and accelerates the machine learning workflow.
Automated machine learning framework for creating and customizing ML models.
A library for implementing hyperparameter optimization methods for machine learning and deep learning models.
A Python library for automated hyperparameter tuning and ensemble learning using scikit-learn.
SMAC3 is a versatile Bayesian optimization package for hyperparameter optimization in machine learning models.
Automated Deep Learning without any human intervention, the first solution for the AutoDL challenge@NeurIPS.
Get weekly updates on trending AI coding tools and projects.