behnam1394

5G

5G Mobile Networks -- Micro-book

5G-Datasets

5g-monarch

Repository for 5G-Monarch paper

5G-Network-Slicing

5G-Network-Slicing-Datasets

5G-Simulators

5g-trace-visualizer

This set of Python scripts allow you to convert pcap, pcapnp or pdml 5G protocol traces (Wireshark, tcpdump, ...) into SVG sequence diagrams.

5GAD

This is a dataset of 5G network traffic for use with machine learning tools to benchmark attack detection capabilities for multiple different models. The dataset contains simulated normal and attack 5G network traffic.

5gc-config

Transfer-Learning-based-Intrusion-Detection-in-5G-Networks

This research introduces an innovative traffic classification method tailored for 5G networks. The approach leverages deep transfer learning by utilizing pre-trained models and fine-tuning them. We evaluate several deep-learning models in a transfer learning setting.

behnam1394/Transfer-Learning-based-Intrusion-Detection-in-5G-Networks

This research introduces an innovative traffic classification method tailored for 5G networks. The approach leverages deep transfer learning by utilizing pre-trained models and fine-tuning them. We evaluate several deep-learning models in a transfer learning setting.

behnam1394/5G-Datasets

behnam1394/5g-monarch

Repository for 5G-Monarch paper

behnam1394/5G-Network-Slicing-Datasets

behnam1394/5G-Simulators

behnam1394/5GAD

This is a dataset of 5G network traffic for use with machine learning tools to benchmark attack detection capabilities for multiple different models. The dataset contains simulated normal and attack 5G network traffic.

behnam1394/5gc-manifests

Kubernetes manifest files for 5G network

behnam1394/awesome-transfer-learning

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

behnam1394/C-Plus-Plus

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

behnam1394/daily_arxiv

Using GitHub Action to collect paper list with publicly available source code in the daily arxiv

behnam1394/Data-Science-For-Beginners

10 Weeks, 20 Lessons, Data Science for All!

behnam1394/dl-4-tsc

Deep Learning for Time Series Classification

behnam1394/Free-Certifications

A curated list of free courses & certifications.

behnam1394/free5gc-dockerfiles

Dockerfiles for Free5GC and UERANSIM

behnam1394/hub

A library for transfer learning by reusing parts of TensorFlow models.

behnam1394/Hyperparameter-Optimization-of-Machine-Learning-Algorithms

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

behnam1394/IDS-in-IoT-using-ML

behnam1394/Intrusion-Detection-System-Using-CNN-and-Transfer-Learning

Code for intrusion detection system (IDS) development using CNN models and transfer learning

behnam1394/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..)

behnam1394/IoT-Datasets

behnam1394/IoT-IDS-Dataset

behnam1394/IoT-Simulators

behnam1394/machine-learning

:earth_americas: machine learning tutorials (mainly in Python3)

behnam1394/Made-With-ML

Learn how to responsibly develop, deploy and maintain production machine learning applications.

behnam1394/ML-For-Beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

behnam1394/PWPAE-Concept-Drift-Detection-and-Adaptation

Online learning methods used to address concept drift in data streams. Code for the paper entitled "PWPAE: An Ensemble Framework for Concept Drift Adaptation in IoT Data Streams" accepted in IEEE GlobeCom 2021.

behnam1394/Python

All Algorithms implemented in Python

behnam1394/python-cheatsheet

Comprehensive Python Cheatsheet

behnam1394/Transfer-Learning-Based-Intrusion-Detection-in-5G-and-IoT-Networks

Development of a transfer learning system for the detection of cyber-attacks in 5G and IoT networks. Transfer learning will improve the accuracy and precision of cyber-attacks detection in 5G /IoT networks with limited computing capability and datasets with scarce labeled data.

behnam1394/transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习