Zmjcc

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

LLMSurvey

The official GitHub page for the survey paper "A Survey of Large Language Models".

pytorch-msssim

Fast and differentiable MS-SSIM and SSIM for pytorch.

MQBench

Model Quantization Benchmark

CommPy

Digital Communication with Python

convert2Yolo

This project purpose is convert voc annotation xml file to yolo-darknet training file format

info-nce-pytorch

PyTorch implementation of the InfoNCE loss for self-supervised learning.

AIJack

Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)

SiT

Self-supervised vIsion Transformer (SiT)

zju-connect

ZJU RVPN 客户端的 Go 语言实现

DiffJPEG

Semantic-Communication-Systems

pytorch implementation of "Deep Learning-Enabled Semantic Communication Systems with Task-Unaware Transmitter and Dynamic Data"

CarlaFLCAV

federated learning autonomous driving in CARLA simulation

imagecodecs

Image transformation, compression, and decompression codecs

dipum-toolbox

MATLAB code for the book Digital Image Processing Using MATLAB (DIPUM)

Vript

turboae

Code for "Turbo Autoencoder: Deep learning based channel code for point-to-point communication channels" NeurIPS 2019

NTSCC_JSAC22

Semantic-Communications-with-a-Vision-Transformer

e2e-dnn-comm-for-image

End to end deep neural network based semantic communication system for image.

ADJSCC

adaptive/attention deep joint source channel coding

darknet-kitti

Revised version of YOLOv2 and YOLOv3 for KITTI dataset

nlp_comm

Developing joint source and channel codes for transmission of text

DeepLearning_MIMO

GRNN

Official implementation of "GRNN: Generative Regression Neural Network - A Data Leakage Attack for Federated Learning"

Kodak_compression_performance

Compression performance of BPG, JPEG, JPEG2000 and Webp.

Deep_Learning_based_Low_complexity_MIMO_Precoding_Design

CTM_MNIST