Xgboost

XGBoostC++

A scalable, portable, and distributed gradient boosting library for efficient machine learning across multiple languages and platforms.

PyCaretJupyter Notebook

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

SQLFlowGo

A compiler that extends SQL with AI capabilities to train, predict, and evaluate machine learning models directly from SQL statements.

mljar-supervisedPython

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

m2cgenPython

Transpile trained machine learning models into native code (Java, C, Python, Go, etc.) with zero dependencies.

DeepDetectC++

An open-source deep learning API and server written in C++ that supports multiple backends like PyTorch, TensorRT, and TensorFlow for training and inference.

Awesome Decision Tree PapersPython

A curated collection of research papers on decision, classification, and regression trees with implementations from top ML conferences.

AutoVizPython

Automatically visualize any dataset with a single line of code, including data quality assessment and fixes.

Szilard's machine learning benchmarkR

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

Auto MLPython

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