Apache Kafka® running on Kubernetes
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Updated
Nov 16, 2024 - Java
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.
This repository includes code for the AutoML-based IDS and adversarial attack defense case studies presented in the paper "Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis" published in IEEE Transactions on Network and Service Management.
DataDog data streams library for Elixir
AutoML framework for implementing automated machine learning on data streams
Python framework for generating streams of labeled data.
FedStream: Prototype-Based Federated Learning on Distributed Concept-drifting Data Streams
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.
Online Probabilistic Interval-based Event Calculus
Repository for the StreamingRandomPatches algorithm implemented in MOA 2019.04
Semi-supervised Federated Learning on Evolving Data Streams
Stream Autoencoder Windowing (SAW) - Change Detection Framework for high dimensional data streams
Queue-Based Resampling (QBR, ICANN 2018)
Simulations, Paper Submission Drafts and Patent Applications for Research on Hierarchical Modulations
Implementation of "Fast clustering-based anonymization approaches with time constraints for data streams".
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