Pytorch code for IEEE TWC paper "Predictive and Adaptive Deep Coding for Wireless Image Transmission in Semantic Communication"

Demo of robust semantic communication against semantic noise

Deep learning-based task-oriented and unified multi-task semantic communications

Source code for "Deep Joint Source-Channel Coding Over Cooperative Relay Networks", 2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN)

Semantic-Forward Relaying: A Novel Framework Towards 6G Cooperative Communications

source codes for paper "RIS-Assisted MIMO Semantic Communication System for Speech Transmission"

PerSF-SemCom: Personalized Saliency-Based Semantic Communication

This is a pytorch implementation of digital semantic communication.

This is a pytorch implementation of diffusion models-based image transmission systems.

Semantic Message Extraction for Text Based Data With Deep Neural Nets

A repository for my Diploma Thesis; "Semantic communications framework with Transformer based models"

Task oriented AQR

Code for "QoE-Aware Resource Allocation for Semantic Communication Networks"

Using Federated Learning to train the model in Semantic Communication in pytorch

This repo implements a MIMO-based method for semantic communications, learning precoder/decoder pairs to compress latent spaces and align semantics across devices. Includes both a linear ADMM-based model and a neural model under power and complexity constraints.

This repository tackles latent space misalignment in multi-agent AI-native semantic communications. It introduces a federated approach where an access point shares a semantic encoder, while user devices use local semantic equalizers to enhance mutual understanding.

Paper Code for TVT: Resource allocation for semantic communication network

Code for "Deep Learning Enabled Semantic Communications with Speech Recognition and Synthesis"