XGBoost

shapslundberg/shap

A unified Python library for explaining any machine learning model's predictions using Shapley values from game theory.

TPOTrhiever/tpot

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

tpotEpistasisLab/tpot

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

PyCaretpycaret/pycaret

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

stockpredictionaiborisbanushev/stockpredictionai

A complete AI-driven process using GANs with LSTM and CNN to predict stock price movements, incorporating diverse data sources and hyperparameter optimization.

mljar-supervisedmljar/mljar-supervised

An Automated Machine Learning Python package for tabular data with feature engineering, hyperparameter tuning, explanations, and automatic documentation.

Szilard's machine learning benchmarkszilard/benchm-ml

A minimal benchmark comparing scalability, speed, and accuracy of popular open-source machine learning libraries for binary classification.

MLeapcombust/mleap

MLeap is a portable execution engine for deploying machine learning pipelines from Spark and Scikit-learn without their runtime dependencies.