🌊 Online machine learning in Python

📑 Online machine learning resources

🪁 A fast Adaptive Machine Learning library for Time-Series, that lets you build, deploy and update composite models easily. An order of magnitude speed-up, combined with flexibility and rigour. This is an internal project - documentation is not updated anymore and substantially differ from the current API.

Model Server for Kepler

Privacy-Preserving Bandits (MLSys'20)

MLPro - The Integrative Middleware Framework for Standardized Machine Learning in Python

Example notebooks using the TurboML platform

Demos using TurboML!

Library for simulating data poisoning attack and defence strategies against online machine learning systems.

Common metrics for evaluation of machine learning models

Unsupervised anomaly detection for data streams

Paper IEEE CoDIT 2025 - Arend/Singh Padda/Schwung - "Online-adaptive PID control using Reinforcement Learning"

Extension that performs streaming machine learning on event streams

Online Anomaly Detection Algorithms

This repository serves as the website for the tutorial "Online clustering: algorithms, evaluation, metrics, aplication and benchmarking using River", presented at the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2022.

Online Machine Learning for Intrusion Detection in Electric Vehicle Charging Systems

Distributed High Scale Online Machine Learning via Apache Flink

FTRL Approach to Financial Portfolio Risk Management

A streaming Digital Twin of a steel hot rolling mill demonstrating Online Machine Learning (OML) with Apache Kafka, Apache Flink and MOA to handle real-time concept drift.

ATL original implementation on Matlab