awesome-TS-anomaly-detection
NAB
| awesome-TS-anomaly-detection | NAB | |
|---|---|---|
| 72 | 3 | |
| 2,811 | 1,891 | |
| - | 0.6% | |
| 0.0 | 0.0 | |
| 2 months ago | 10 months ago | |
| Jupyter Notebook | ||
| - | GNU Affero General Public License v3.0 |
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awesome-TS-anomaly-detection
NAB
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Kafka Stream Processing in SigNoz - an opensource DataDog alternative
u/buzzwordd we will have an open-source anomaly detection framework that will work with SigNoz and Prometheus as a plugin. We did a small POC with some algorithms at https://github.com/numenta/NAB benchmarks and see the relevance with unsupervised and real-time training algorithms.
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Does anyone here use artificial intelligence and machine learning with their jobs?
If you need realtime training on unsupervised data, have a look at https://github.com/numenta/NAB and the benchmark solutions. I played with them some time ago and the results seemed interesting
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[P] Looking for Resources on Anomaly Detection
Also Numenta NAB paper is a good starting point. https://github.com/numenta/NAB
What are some alternatives?
Awesome-Geospatial - Long list of geospatial tools and resources
Netdata - The open-source observability platform everyone needs
openHistorian - The Open Source Time-Series Data Historian
A3 - Inspired by recent advances in coverage-guided analysis of neural networks, we propose a novel anomaly detection method. We show that the hidden activation values contain information useful to distinguish between normal and anomalous samples. Our approach combines three neural networks in a purely data-driven end-to-end model. Based on the activation values in the target network, the alarm network decides if the given sample is normal. Thanks to the anomaly network, our method even works in strict semi-supervised settings. Strong anomaly detection results are achieved on common data sets surpassing current baseline methods. Our semi-supervised anomaly detection method allows to inspect large amounts of data for anomalies across various applications.
awesome-metric-learning - 😎 A curated list of awesome practical Metric Learning and its applications
signoz - SigNoz is an open-source observability platform native to OpenTelemetry with logs, traces and metrics in a single application. An open-source alternative to DataDog, NewRelic, etc. 🔥 🖥. 👉 Open source Application Performance Monitoring (APM) & Observability tool
pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
MLflow - Open source platform for the machine learning lifecycle