network-attack-detection
Advanced detection of port scanning, DoS and malware attacks using Machine Learning techniques (by lucadibello)
Ordinal_Classifier
Introduce order in your classification within 1 line (by mosh98)
| network-attack-detection | Ordinal_Classifier | |
|---|---|---|
| 1 | 1 | |
| 5 | 8 | |
| - | - | |
| 5.7 | 10.0 | |
| almost 1 year ago | over 1 year ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
network-attack-detection
Posts with mentions or reviews of network-attack-detection.
We have used some of these posts to build our list of alternatives
and similar projects.
Ordinal_Classifier
Posts with mentions or reviews of Ordinal_Classifier.
We have used some of these posts to build our list of alternatives
and similar projects.
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Ordinal Regression using sklearn
Here i made a package for doing ordinal regression using sklearn classifier: https://github.com/mosh98/Ordinal_Classifier
What are some alternatives?
When comparing network-attack-detection and Ordinal_Classifier you can also consider the following projects:
NLU-engine-prototype-benchmarks - Demo and benchmarks for building an NLU engine similar to those in voice assistants. Several intent classifiers are implemented and benchmarked. Conditional Random Fields (CRFs) are used for entity extraction.
coral-ordinal - Tensorflow Keras implementation of ordinal regression using consistent rank logits (CORAL) by Cao et al. (2019)
examples - 📝 Examples of how to use Neptune for different use cases and with various MLOps tools