why Individual Packet Features (IPF) should not be used for intrusion detection

Website for storing flight information, rendering paths on a zoomable world map and calculating statistics, with plenty of free airline, airport and route data.

This repository includes code for the AutoML-based IDS and adversarial attack defense case studies presented in the paper "Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis"…

الذكاء الاصطناعي التوليدي باللغة العربية

Open-sourced code of miniGPT-Med

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

Modelio is a modeling solution offering a wide range of functionalities based on the main standards of enterprise architecture, software development and systems engineering.

This repository is a curated collection of the most exciting and influential CVPR 2024 papers. 🔥 [Paper + Code + Demo]

This repo contains code related to an intrusion detection system using machine learning technique

We designed an IoT based intrusion detection system using ALMA, which is an online machine learning algorithm.

Instance segmentation of center pivot irrigation system in Brazil using Landsat images and Convolutional Neural Network

computer vision and sports

LLM Models and RAG Hands-on guide

Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning

Jupyter notebooks for our O'Reilly book "Blueprints for Text Analysis Using Python"

VisionOS App + Python Library to stream head / wrist / finger tracking data from Vision Pro to any robots.

Code repository and Bookdown project for Online Companion to Network Science in Archaeology by Tom Brughmans and Matthew A. Peeples (Cambridge Manuals in Archaeology)

Next–Generation Intrusion Detection for IoT EVCS: Integrating CNN, LSTM, and GRU Models

Instruction dataset for Arabic with 10,000 instruction and output pairs. CIDAR can be used to fine-tune LLMs to follow instructions.

Arabic Synonym BERT-based Adversarial Examples for Text Classification

AI-based assessment and forecasting of the state of complex technical objects.

IoT Attack Detection with machine learning

Performance Implications of Using Unrepresentative Corpora in Arabic Natural Language Processing.

Machine Learning in Cybersecurity

Data-Scientist-Books (Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Long Short Term Memory, Generative Adversarial Network, Time Series Forecasting, Probability and…

We are exploring the CIC-IDS 2017 and IOT-IDS2020 datasets. These datasets contain a wealth of information about network activities and cyberattacks. The aim is to focus on using the power of machi…