Intrusion-Detection-System-Using-Machine-Learning VS MinVIS

Compare Intrusion-Detection-System-Using-Machine-Learning vs MinVIS and see what are their differences.

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Intrusion-Detection-System-Using-Machine-Learning MinVIS
3 5
310 261
5.8% 1.5%
2.9 0.0
6 months ago over 1 year ago
Jupyter Notebook Python
MIT License GNU General Public License v3.0 or later
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.

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.

MinVIS

Posts with mentions or reviews of MinVIS. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-03.

What are some alternatives?

When comparing Intrusion-Detection-System-Using-Machine-Learning and MinVIS you can also consider the following projects:

VideoX - VideoX: a collection of video cross-modal models

Cold-Diffusion-Models - Official implementation of Cold-Diffusion for different transformations in pytorch.

Awesome-Dataset-Distillation - Awesome Dataset Distillation Papers

bitsandbytes - Accessible large language models via k-bit quantization for PyTorch.

textual_inversion

PeRFception - [NeurIPS2022] Official implementation of PeRFception: Perception using Radiance Fields.

catboost-quickstart - 🐈 🚀 Quickstart machine learning notebooks for creating CatBoost models

Bayesian-Optimization-in-FSharp - Bayesian Optimization via Gaussian Processes in F#