Apache Kafka® running on Kubernetes
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Updated
Jun 6, 2024 - Java
Apache Kafka® running on Kubernetes
FedStream: Prototype-Based Federated Learning on Distributed Concept-drifting Data Streams
Telestion is a ground station software developed by the TelestionTeam for WüSpace projects.
DataDog data streams library for Elixir
Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning
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 is a Java-based client-server application that allows clients to store data in and access data from a server in JSON format.
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.
Загрузка логов из Yandex Audit Trails в Yandex Managed Service for OpenSearch с помощью Yandex Data Transfer.
Создание интерактивного Serverless приложения с использованием WebSocket в Yandex Cloud.
Export of Kubernetes Audit logs to Yandex Data Streams (YDS) or Kinesis Data Streams.
Как организовать обмен данными через сервис Yandex Data Streams (YDS) в Yandex Cloud.
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.
Easy to integrate and powerful Oracle on top of Chainlink Data Streams and Chainlink Data Feeds
On metaattribute ability in implicit concept identification
Semi-supervised Federated Learning on Evolving Data Streams
AutoML framework for implementing automated machine learning on data streams
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