Automated Ml

PyCaretPython

An open-source, low-code Python library that automates end-to-end machine learning workflows.

Keras TunerPython

An easy-to-use, scalable hyperparameter optimization framework for Keras models with define-by-run syntax and built-in search algorithms.

hyperopt-sklearnPython

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

TalosPython

A Python library for automated hyperparameter optimization and model evaluation with TensorFlow, Keras, and PyTorch.

Hyperparameter-Optimization-of-Machine-Learning-AlgorithmsJupyter Notebook

Implementation of hyperparameter optimization methods for ML/DL models with sample code for regression and classification tasks.

XcessivPython

A web-based tool for automated hyperparameter tuning and stacked ensemble creation in Python.

UpginiPython

An intelligent data search and enrichment library for machine learning that automatically finds and adds relevant external features to ML pipelines.

BoostARootaPython

A fast feature selection algorithm for tree-based models like XGBoost, designed to outperform Boruta in speed and performance.

fewPython

A feature engineering wrapper for scikit-learn that uses genetic programming to find optimal feature transformations for machine learning models.

PYTSDA-TDenginePython

An end-to-end Python system for time series data analysis with in-database machine learning using TDengine.

mlforgexPython

Python package for streamlined training, evaluation, and prediction of ML models on cleaned datasets.