Model Selection

TPOTJupyter Notebook

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

tpotJupyter Notebook

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

AutoKerasPython

An AutoML library for deep learning that automates model selection and hyperparameter tuning using Keras and TensorFlow.

auto-sklearnPython

An automated machine learning toolkit that serves as a drop-in replacement for scikit-learn estimators.

yellowbrickPython

A suite of visual diagnostic tools that extend scikit-learn to steer machine learning model selection through visualizations.

SGX-Full-OrderBook-Tick-Data-Trading-StrategyJupyter Notebook

A machine learning framework for developing high-frequency trading strategies using full orderbook tick data.

Auto MLPython

Automated machine learning library for production and analytics, handling feature engineering, model selection, and hyperparameter optimization.

hyperopt-sklearnPython

Hyperopt-sklearn automates hyperparameter optimization and model selection for scikit-learn machine learning pipelines.

smartcoreRust

A fast, ergonomic machine learning library for Rust with broad algorithm coverage and WASM-first defaults.

mlensPython

A Python library for building high-performance, memory-efficient ensemble learning networks with a Scikit-learn compatible API.

bayesloopPython

A Python probabilistic programming framework for objective model selection in time-varying parameter time series models.

sigopt_sklearnPython

Provides SigOpt wrappers for scikit-learn to optimize hyperparameters and facilitate model selection.