REST web service for the true real-time scoring (<1 ms) of Scikit-Learn, R and Apache Spark models
-
Updated
Feb 2, 2026 - Java
scikit-learn is a widely-used Python module for classic machine learning. It is built on top of SciPy.
REST web service for the true real-time scoring (<1 ms) of Scikit-Learn, R and Apache Spark models
Compile your ML Models/ONNX Decision Trees (XGBoost, LightGBM, SciKit-Learn) straight to JVM Bytecode
Website defacement detection system based on machine learning
Python-based Feedzai OpenML Providers
A Credit Card Fraud Detection System using Adaboost and Majority Voting, designed to identify fraudulent credit card transactions by combining the strength of multiple classifiers.
My graduate work what is a primitive implementation of BSS / OSS using microservice architecture
Workshop at AdExchange Agents
Data collection, feature engineering and machine learning of performance traces
CI pipeline for machine learning with Argo Workflows
Automatic tool to detect Hate Speech in online user generated content
A parser for scikit-learn exported text models to execute in the Java runtime.
Designed and deployed a production-style, containerized backend system that performs real-time anomaly detection on system logs using a Spring Boot microservice integrated with an ML inference service.
Java app to find anagrams in the Twitter firehose
Comprehensive link checker tool for Wikipedia
Plataforma de análise financeira com machine learning: classificação de transações, perfil financeiro e recomendações personalizadas. Java Spring Boot, FastAPI, React e PostgreSQL.
Benchmarking suite for A* vs SMA* pathfinding efficiency using Scikit-Learn ML Heuristics, with an interactive HTML5/Plotly analytics dashboard
A dynamic Android app to compare and recommend insurance plans according to region and other factors
Performing classification tasks with the LibSVM toolkit on four different datasets: Iris, News, Abalone, and Income.
Created by David Cournapeau
Released January 05, 2010
Latest release 3 months ago