Online anomaly detection for data streams/ Real-time anomaly detection for time series data.

The stream-learn is an open-source Python library for difficult data stream analysis.

AutoML framework for implementing automated machine learning on data streams

Python framework for generating streams of labeled data.

Python implementation of adwin algorithm

FedStream: -Based Federated Learning on Distributed Concept-drifting Data Streams

Stream Autoencoder Windowing (SAW) - Change Detection Framework for high dimensional data streams

Semi-supervised Federated Learning on Evolving Data Streams

Queue-Based Resampling (QBR, ICANN 2018)

Adaptive REBAlancing (AREBA, IEEE TNNLS 2021)

On metaattribute ability in implicit concept identification

ActiSiamese (Neurocomputing 2022)

Advanced Machine Learning

Methods for Finding Frequent Items in Data Streams

Передача и сохранение событий сервиса Yandex Cloud Postbox

Augmented Queues (IEEE SSCI 2022)

Python package for synchronization of data streams or sensor systems employing IMU data

Примеры отправки сообщений в Yandex Data Streams по HTTP.

PyFlink data stream processing utilities 🐿