Compile your ML Models/ONNX Decision Trees (XGBoost, LightGBM, SciKit-Learn) straight to JVM Bytecode
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Updated
Sep 18, 2026 - Java
Compile your ML Models/ONNX Decision Trees (XGBoost, LightGBM, SciKit-Learn) straight to JVM Bytecode
The website for the Tribuo Java Machine Learning Library - https://github.com/oracle/tribuo
Warehouse optimization platform with placement recommendations, route planning, demand analysis and event-driven processing.
A Java Spring Boot application that classifies movie review sentiment using a Naive Bayes model built with Oracle's Tribuo library. Features a full active learning cycle: the model detects its own uncertainty, consults Claude AI as an oracle for labeling, and retrains itself to continuously improve.
AI-powered phishing URL detection system built with Java, Spring Boot, Tribuo Random Forest, MySQL, and Docker. Extracts 15 URL features, detects phishing URLs, provides explainable predictions, stores scan history, and includes a security dashboard.
Compiles ONNX, LightGBM, and scikit-learn models into JVM bytecode for fast, low-GC inference
To associate your repository with the tribuo topic, visit your repo's landing page and select "manage topics."