data-streams

Apache Kafka® running on Kubernetes

Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning

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.

BBoxDB is a scalable, highly available, and distributed data store for multi-dimensional big data. The software supports operations like multi-dimensional range queries and spatial joins. In addition, data streams are supported.

AutoML framework for implementing automated machine learning on data streams

Python implementation of adwin algorithm

Telestion is a ground station software developed by the TelestionTeam for WüSpace projects.

A React group chat demo powered by PubNub and reusable chat components.

Queue-Based Resampling (QBR, ICANN 2018)

Online Probabilistic Interval-based Event Calculus

Implementation of "Fast clustering-based anonymization approaches with time constraints for data streams".

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

This code refers to all experiments in our paper "Autonomous Deep Learning: Continual Learning Approach for Dynamic Environments"

On metaattribute ability in implicit concept identification

Association Rules & Data Streams

Simulations, Paper Submission Drafts and Patent Applications for Research on Hierarchical Modulations

Modified version of ADL and DEVDAN: Implement multiple node growing scenario and adaptive synapses pruning

Repository for the StreamingRandomPatches algorithm implemented in MOA 2019.04

Adaptive REBAlancing (AREBA, IEEE TNNLS 2021)