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

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

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)

VideoX

VideoX: a collection of video cross-modal models (by microsoft)
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Intrusion-Detection-System-Using-Machine-Learning VideoX
3 7
310 916
5.8% 3.4%
2.9 4.4
6 months ago 10 months 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.
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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.

VideoX

Posts with mentions or reviews of VideoX. 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 VideoX you can also consider the following projects:

textual_inversion

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

frame-interpolation - FILM: Frame Interpolation for Large Motion, In ECCV 2022.

Awesome-Dataset-Distillation - Awesome Dataset Distillation Papers

MinVIS

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

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

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