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

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

catboost-quickstart

🐈 πŸš€ Quickstart machine learning notebooks for creating CatBoost models (by sk-t3ch)
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catboost-quickstart Intrusion-Detection-System-Using-Machine-Learning
3 3
3 339
- 7.4%
0.0 2.9
about 3 years ago 7 months ago
Jupyter Notebook Jupyter Notebook
- MIT License
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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.

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

MEDIUM_NoteBook - Repository containing notebooks of my posts on Medium

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

fastai - The fastai deep learning library

MinVIS

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