Showing 11 of 11 projects
An automated machine learning library that trains and deploys high-accuracy models for tabular, text, image, and time series data with minimal code.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
An AutoML library for deep learning that automates model selection and hyperparameter tuning using Keras and TensorFlow.
An automated machine learning toolkit that serves as a drop-in replacement for scikit-learn estimators.
An open-source Python library for automated feature engineering using Deep Feature Synthesis.
An open-source Python library for automated feature engineering using Deep Feature Synthesis.
A Python library for distributed asynchronous hyperparameter optimization over complex search spaces.
Automatic neural architecture search and hyperparameter optimization for PyTorch, focusing on tabular data and time series forecasting.
A simple wrapper that combines Keras and Hyperopt for convenient hyperparameter optimization in deep learning models.
Automated machine learning library for production and analytics, handling feature engineering, model selection, and hyperparameter optimization.
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