walk_in_the_park
By ikostrikov
Intrusion-Detection-System-Using-Machine-Learning
Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..) (by Western-OC2-Lab)
| walk_in_the_park | Intrusion-Detection-System-Using-Machine-Learning | |
|---|---|---|
| 2 | 3 | |
| 226 | 325 | |
| - | 3.4% | |
| 0.0 | 2.9 | |
| over 1 year ago | 7 months ago | |
| Python | Jupyter Notebook | |
| MIT License | MIT License |
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Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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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.
walk_in_the_park
Posts with mentions or reviews of walk_in_the_park.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-09-03.
Intrusion-Detection-System-Using-Machine-Learning
Posts with mentions or reviews of Intrusion-Detection-System-Using-Machine-Learning.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-09-03.