🌊 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.
FTRL Approach to Financial Portfolio Risk Management
Online Machine Learning for Intrusion Detection in Electric Vehicle Charging Systems
Distributed High Scale Online Machine Learning via Apache Flink
ATL original implementation on Matlab
MLPro: Integration River
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