Intrusion-Detection-System-Using-Machine-Learning VS catboost-quickstart

Compare Intrusion-Detection-System-Using-Machine-Learning vs catboost-quickstart 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)
Machine Learning random-forest decision-tree Xgboost bayesian-optimization hyperparameter-optimization hpo kmeans python-examples intrusion-detection intrusion-detection-system autonomous-vehicles cyber-security network-security stacking cicids2017 Catboost ensemble-learning Lightgbm
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catboost-quickstart

🐈 🚀 Quickstart machine learning notebooks for creating CatBoost models (by sk-t3ch)
Catboost Notebooks Machine Learning Classification quickstart
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t3chflicks.medium.com
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Intrusion-Detection-System-Using-Machine-Learning catboost-quickstart
3 3
325 3
6.9% -
2.9 0.0
7 months ago about 3 years ago
Jupyter Notebook Jupyter Notebook
MIT License -
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.

catboost-quickstart

Posts with mentions or reviews of catboost-quickstart. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-15.

What are some alternatives?

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

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

MEDIUM_NoteBook - Repository containing notebooks of my posts on Medium

MinVIS

fastai - The fastai deep learning library

Awesome-Dataset-Distillation - Awesome Dataset Distillation Papers

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

textual_inversion

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

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

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

awesome-gradient-boosting-papers - A curated list of gradient boosting research papers with implementations.

STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA - Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks

Intrusion-Detection-System-Using-Machine-Learning vs VideoX catboost-quickstart vs MEDIUM_NoteBook Intrusion-Detection-System-Using-Machine-Learning vs MinVIS catboost-quickstart vs fastai Intrusion-Detection-System-Using-Machine-Learning vs Awesome-Dataset-Distillation Intrusion-Detection-System-Using-Machine-Learning vs Cold-Diffusion-Models Intrusion-Detection-System-Using-Machine-Learning vs textual_inversion Intrusion-Detection-System-Using-Machine-Learning vs PeRFception Intrusion-Detection-System-Using-Machine-Learning vs bitsandbytes Intrusion-Detection-System-Using-Machine-Learning vs Bayesian-Optimization-in-FSharp Intrusion-Detection-System-Using-Machine-Learning vs awesome-gradient-boosting-papers Intrusion-Detection-System-Using-Machine-Learning vs STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA