emtiazi

CS50X final project

Deep reinforcement learning (DRL) uses deep learning and reinforcement learning principles in order to create efficient algorithms that can be applied on different areas. Implementing deep learning…

Zero-touch network is conceived as a next-generation management and operation system that leverages the principles of NFV and SDN in order to fully automated management and operation.

This LlamaIndex-based RAG system offers a simple approach to combining retrieval accuracy with generative capabilities, enabling dynamic, knowledge-augmented responses in real time.

Reservoir Computing with Echo State Networks for Predicting Time Series

A collection of reference environments for offline reinforcement learning

Code for conservative Q-learning

gNB simulator

The Amarisoft 5G SA testbed leverages Callbox Ultimate, Callbox Mini, and Simbox to establish RAN, core, and UE emulation, covering varied network scenarios. Config files detail setup for network f…

This repository implements a hybrid neuro-symbolic reinforcement learning agent for the "CartPole-v1" environment using PyTorch. The model combines symbolic reasoning, based on interpretable rules …

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

FlexRAN SD-RAN platform

This repository contains the implementation codes of deep reinforcement learning (DRL) in user association and resource allocation in heterogenous networks. The model is basd on deep-Q-network (DQN…

A module that can be used to model and simulate O-RAN-like behavior in ns-3.

In this project, I investigate and design a NoC system consisting of the router/switch, IPs (CPU or other hardware module), and interconnection structure (topology) such as Mesh.

The DIA Benchmark Dataset is a benchmarking tool consisting of 150 dynamic question generators for the evaluation of the problem-solving capability of LLMs

Code for processing videos of Ioannis Papagianis' code.

2D physics badsed Fire propagation model for fast simulations

Repo for the Network Slicing Design Team (see https://mailarchive.ietf.org/arch/browse/teas-ns-dt/)

Agent Learning Framework https://alf.readthedocs.io

python implementation of mobility models

A neural network to predict daily bike rental ridership

This repository contains links and short descriptions to the resources used for the 5-Day Gen AI Intensive Course with Google

In this notebook, I implemented a recurrent neural network (Long short-term memory) using PyTorch that performs sentiment analysis.

The LLSim5G is a link-level simulator to recreate HetNet 5G use cases with TN/NTN/UAV/D2D and multiple users under diverse mobility behaviors.