MinVIS
By NVlabs
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 | Intrusion-Detection-System-Using-Machine-Learning | |
---|---|---|
5 | 3 | |
261 | 326 | |
0.0% | 3.7% | |
0.0 | 2.9 | |
over 1 year ago | 7 months ago | |
Python | Jupyter Notebook | |
GNU General Public License v3.0 or later | MIT License |
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.
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
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.
What are some alternatives?
When comparing MinVIS and Intrusion-Detection-System-Using-Machine-Learning you can also consider the following projects:
Cold-Diffusion-Models - Official implementation of Cold-Diffusion for different transformations in pytorch.
VideoX - VideoX: a collection of video cross-modal models
bitsandbytes - Accessible large language models via k-bit quantization for PyTorch.
Awesome-Dataset-Distillation - Awesome Dataset Distillation Papers
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
MinVIS vs Cold-Diffusion-Models
Intrusion-Detection-System-Using-Machine-Learning vs VideoX
MinVIS vs bitsandbytes
Intrusion-Detection-System-Using-Machine-Learning vs Awesome-Dataset-Distillation
MinVIS vs PeRFception
Intrusion-Detection-System-Using-Machine-Learning vs Cold-Diffusion-Models
MinVIS vs textual_inversion
Intrusion-Detection-System-Using-Machine-Learning vs textual_inversion
MinVIS vs walk_in_the_park
Intrusion-Detection-System-Using-Machine-Learning vs PeRFception
MinVIS vs Awesome-Dataset-Distillation
Intrusion-Detection-System-Using-Machine-Learning vs catboost-quickstart