ykwangsun

semantic-communication-w-codebook

Pytorch implementation of all the methods in the paper "Codebook-Assisted Image Semantic Communication with a Wyner-Ziv Coding-Based Loss"

DIM

Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"

Pytorch-VAE-tutorial

A simple tutorial of Variational AutoEncoders with Pytorch

Reference-arithmetic-coding

Clear implementation of arithmetic coding for educational purposes in Java, Python, C++.

DL-ChannelDecoding

On Deep Learning-based Channel Decoding

polar-codes

Python implementation of Polar codes

NTSCC_plus

PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.

DL-Demos

Demos for deep learning

vqvae

VQ-VAE implementation in pytorch, supporting EMA and Gumbel trainings. Applicable for images and time series.

VL-VFE

Codes for paper "Learning Task-Oriented Communication for Edge Inference: An Information Bottleneck Method"

FSQ-pytorch

A Pytorch Implementation of Finite Scalar Quantization

UIS_Trade-off

vqvae

A pytorch implementation of the vector quantized variational autoencoder (https://arxiv.org/abs/1711.00937)

MIMO-Simulation

This is a python simulation of a MIMO communication system, including M-QAM modulation and demodulation.

NTSCC_JSAC22

pytorch-vqvae

Vector Quantized VAEs - PyTorch Implementation

pytorch-text-vae

A conditional variational autoencoder (CVAE) for text

categorical-vae

Implement Categorical Variational autoencoder using Pytorch

categorical-vae

Categorical Variational Auto-encoders in PyTorch

mine-pytorch

Mutual Information Neural Estimation in Pytorch

Gumbel_Softmax_VAE

PyTorch implementation of a Variational Autoencoder with Gumbel-Softmax Distribution

rq-vae-transformer

The official implementation of Autoregressive Image Generation using Residual Quantization (CVPR '22)

isec-deep-jscc

An official implementation of "Deep Joint Source-Channel Coding with Iterative Source Error Correction"

Task-Oriented-Semantic-Communications

Journal on Communications

Awesome_Semantic_Comm_Sys

Summary of research works about vision-oriented semantic communication system.

VLC_NOMA

Non-orthogonal multiple access (NOMA) for Indoor Visible Light Communications. We offer a complete review of PD-NOMA-based VLC systems in this study. In addition, we discuss aspects of the PD-NOMA VLC system restrictions and challenges, such as power allocation, clipping effect, MIMO, and security.

NOMA_DQN

(Caveats! Dirty Code!!) Solving some Non-Orthogonal Multiple Access (NOMA) resource allocation problem, allocating Tx power properly at downlink to maximize the sum rate, by using DQN

deepjscc-lplusplus

Source code for paper deepjscc-l++

Joint-Coding-Modulation-for-Digital-Semantic-Communication