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Python AutoML for Trading Systems and Sports Betting

Automated Machine Learning on Kubernetes

Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models

Metric learning algorithms in Python

Transpile trained scikit-learn estimators to C, Java, JavaScript and others.

PySpark + Scikit-learn = Sparkit-learn

A scikit-learn based module for multi-label et. al. classification

Impress your boss with interactive Decision Tree visualization

Python package for Bayesian Machine Learning with scikit-learn API

Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.

Stacked Generalization (Ensemble Learning)

AI-powered NBA game outcome predictor that uses advanced team stats and trend-based features to forecast winners and track model performance

Python package implementing ML feature engineering and pre-processing for polars or pandas dataframes.

A collection of pandas & scikit-learn compatible transformers for preprocessing and feature engineering 🛠