Compile your ML Models/ONNX Decision Trees (XGBoost, LightGBM, SciKit-Learn) straight to JVM Bytecode
-
Updated
Jul 10, 2026 - Java
Compile your ML Models/ONNX Decision Trees (XGBoost, LightGBM, SciKit-Learn) straight to JVM Bytecode
Pixel-faithful Hacker News clone with a virality predictor and live calibration ledger. The engine behind hackernews.foresyn.ai.
An example of Twitter realtime analysis with Kubernetes, Flink, Kafka, Kafka Connect, Cassandra, Elasticsearch/Kibana, Docker, Sentiment Analysis, Xgboost and Websockets
How to use m2gen python library to transform a trained machine learning models to native code such a python, php and javascript.
AI-powered health risk assessment system featuring real-time IoT pulse oximetry monitoring and browser-native machine learning inference.
Multi-class image classifier for RIOT-OS
PhishShield: A Client-Side AI/ML Powered Browser Extension For Real-Time Phishing Detection.
Asynchronous, AI-driven, kernel-space packet filtering for the Linux network stack
End-to-end ML web app that predicts student performance with a Python-trained Linear Regression model exported to JavaScript and used directly in Vue
Add a description, image, and links to the m2cgen topic page so that developers can more easily learn about it.
To associate your repository with the m2cgen topic, visit your repo's landing page and select "manage topics."