Apache Kafka® running on Kubernetes
-
Updated
May 10, 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.
DataDog data streams library for Elixir
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.
AutoML framework for implementing automated machine learning on 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.
Stream Autoencoder Windowing (SAW) - Change Detection Framework for high dimensional data streams
Repository for the StreamingRandomPatches algorithm implemented in MOA 2019.04
Queue-Based Resampling (QBR, ICANN 2018)
Online Probabilistic Interval-based Event Calculus
FedStream: Prototype-Based Federated Learning on Distributed Concept-drifting Data Streams
Easy to integrate and powerful Oracle on top of Chainlink Data Streams and Chainlink Data Feeds
Implementation of "Fast clustering-based anonymization approaches with time constraints for data streams".
Semi-supervised Federated Learning on Evolving Data Streams
A versatile command-line interface (CLI) utility for handling data streams in Unix-like environments. It serves as a crucial link between standard input and dual outputs, taking a single stream of input and splitting it into two outputs, one to the standard output and the other to a file simultaneously.
Add a description, image, and links to the data-streams topic page so that developers can more easily learn about it.
To associate your repository with the data-streams topic, visit your repo's landing page and select "manage topics."