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)
MinVIS
By NVlabs
Our great sponsors
Intrusion-Detection-System-Using-Machine-Learning | MinVIS | |
---|---|---|
3 | 5 | |
325 | 261 | |
6.9% | 1.5% | |
2.9 | 0.0 | |
7 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.
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.
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Using image based models for videos
This is basically that but for instance segmentation https://github.com/NVlabs/MinVIS
- [D] Most Popular AI Research Aug 2022 - Ranked Based On GitHub Stars
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Most Popular AI Research Aug 2022 pt. 2 - Ranked Based On GitHub Stars
https://arxiv.org/abs/2208.02245 https://github.com/nvlabs/minvis
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NVIDIA AI Researchers Propose โMinVIS,โ A Minimal Video Instance Segmentation (VIS) Framework That Achieves SOTA Performance With Neither Video-Based Architectures Nor Training Procedures
Continue reading | Check out the Preprint/Under review paper and github link.
- A Minimal Video Instance Segmentation Framework Without Video-Based Training
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.
PeRFception - [NeurIPS2022] Official implementation of PeRFception: Perception using Radiance Fields.
textual_inversion
walk_in_the_park
catboost-quickstart - ๐ ๐ Quickstart machine learning notebooks for creating CatBoost models
Intrusion-Detection-System-Using-Machine-Learning vs VideoX
MinVIS vs Cold-Diffusion-Models
Intrusion-Detection-System-Using-Machine-Learning vs Awesome-Dataset-Distillation
MinVIS vs bitsandbytes
Intrusion-Detection-System-Using-Machine-Learning vs Cold-Diffusion-Models
MinVIS vs PeRFception
Intrusion-Detection-System-Using-Machine-Learning vs textual_inversion
MinVIS vs textual_inversion
Intrusion-Detection-System-Using-Machine-Learning vs PeRFception
MinVIS vs walk_in_the_park
Intrusion-Detection-System-Using-Machine-Learning vs catboost-quickstart
MinVIS vs Awesome-Dataset-Distillation