loglizer
anomaly-detection-resources
| loglizer | anomaly-detection-resources | |
|---|---|---|
| 2 | 98 | |
| 1,228 | 7,887 | |
| 1.5% | - | |
| 0.0 | 4.6 | |
| 12 days ago | 13 days ago | |
| Jupyter Notebook | Python | |
| MIT License | GNU Affero General Public License v3.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
loglizer
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SOC with machine learning
https://github.com/logpai/loglizer has an MIT license. Seems like they've done some of the heavy lifting already. If you're just looking for logs, check out https://github.com/logpai/loghub.
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how to never ever lose connection to raspberry pi
If you want to really get paranoid, then you can write a monitoring app that uses machine learning to do the log analysis and detect anomalies in your system. There are some open source tools available, like this for example. Also you can train the network for your specific use case and then just have the service running the inference on your logs and a pre-trainer model that is running on system logs. Then you really get in paranoid mode.
anomaly-detection-resources
- anomaly-detection-resources: NEW Extended Research - star count:7507.0
- anomaly-detection-resources: NEW Extended Research - star count:7323.0
- anomaly-detection-resources: NEW Extended Research - star count:7109.0
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Time-based splitting performing significantly worse than random splitting
https://github.com/yzhao062/anomaly-detection-resources https://search.brave.com/search?q=imbalanced+dataset+machine+learning+github&source=desktop
What are some alternatives?
pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
anomalib - An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
Fog - An open source computer cloning & management system
pygod - A Python Library for Graph Outlier Detection (Anomaly Detection)
wazuh-ruleset - Wazuh - Ruleset
pycaret - An open-source, low-code machine learning library in Python
luminol - Anomaly Detection and Correlation library
HELK - The Hunting ELK
DGFraud - A Deep Graph-based Toolbox for Fraud Detection
kafkaml-anomaly-detection - Project for real-time anomaly detection using Kafka and python
UGFraud - An Unsupervised Graph-based Toolbox for Fraud Detection