Showing 8 of 8 projects
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.
A suite of visual diagnostic tools that extend scikit-learn to steer machine learning model selection through visualizations.
A machine learning framework for developing high-frequency trading strategies using full orderbook tick data.
Automated machine learning library for production and analytics, handling feature engineering, model selection, and hyperparameter optimization.
Hyperopt-sklearn automates hyperparameter optimization and model selection for scikit-learn machine learning pipelines.
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