data-streams

Apache Kafka® running on Kubernetes

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

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

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

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

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

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

Queue-Based Resampling (QBR, ICANN 2018)

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"

Online Probabilistic Interval-based Event Calculus

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

Adaptive REBAlancing (AREBA, IEEE TNNLS 2020)

Application allowing to view data streams and Alternative Data Streams (ADS) of files on NTFS systems without the need of Powershell or any other (technical) tool.

Uber-Netflix-Microservices-Architrecture-Using-Rest-Kafka-Eureka-Zuul

ActiSiamese (Neurocomputing 2022)

Large-scale semi-supervised annotation (self-learning, co-training) for text (@kdd17, @kais19); Repository maintained by Vasileios Iosifidis.