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Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

A library for debugging/inspecting machine learning classifiers and explaining their predictions

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

MLBox is a powerful Automated Machine Learning python library.

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

Scalable machine 🤖 learning for time series forecasting.

Visualize decision trees in Python

A fast xgboost feature selection algorithm

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