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Apache Kafka® running on Kubernetes
Created
2016-05-06
6,476 commits to main branch, last one 12 hours ago
Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning
Created
2022-09-09
35 commits to main branch, last one 7 months ago
Online anomaly detection for data streams/ Real-time anomaly detection for time series data.
Created
2020-11-16
245 commits to main branch, last one about a year ago
The stream-learn is an open-source Python library for difficult data stream analysis.
Created
2018-02-07
651 commits to master branch, last one 7 months ago
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,...
Created
2015-11-07
7,233 commits to master branch, last one 9 months ago
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" pu...
6g
ids
automl
data-streams
concept-drift
cybersecurity
deep-learning
python-examples
machine-learning
feature-selection
network-automation
zero-touch-network
adversarial-attacks
feature-engineering
hyperparameter-tuning
data-stream-processing
automated-machine-learning
intrusion-detection-system
hyperparameter-optimization
adversarial-machine-learning
Created
2023-08-17
19 commits to main branch, last one 3 months ago