JoiHan

pyqt5-custom-widgets

More useful widgets for PyQt5

yolov5-pyqt5

给yolov5加个gui界面，使用pyqt5，yolov5是5.0版本

pythonguis-examples

Demo desktop apps built with Python & Qt. With examples for PyQt6, PySide6, PyQt5 & PySide2

socket_system

航天智能车线上赛--**任务调度系统通信开发

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

PedestrianDetection

毕业设计：行人检测系统，pyqt + opencv

image_processing_op

The image processing operations for useful

unet-tf2

这是一个unet-tf2的源码，可以用于训练自己的模型。

pytorch-grad-cam

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

MB-DCNN

[TMI2020]A Mutual Bootstrapping Model for Automated Skin Lesion Segmentation and Classification.

Tensorflow-SegNet

Implement slightly different caffe-segnet in tensorflow

php-qq-music-api

qq music's public api for php

UNetPlusPlus

[IEEE TMI] Official Implementation for UNet++

UNet-Version

Spine-GAN

A generative adversarial network for spinal image segmentation and radiological grading.

thyroid_segmentation

Ultrasound Thyroid Nodule Segmentation using UNets and variants

2D-Ultrasound-detection-and-segmentation

【医学影像分析】2D超声图像的分割检测（Ultrasound Nerve Segmentation | Kaggle数据集）

VAE-CVAE-MNIST

Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

harvesters

Image Acquisition Library for GenICam-based Machine Vision System

ML_BreastCancer_Screening_GTECH785

Using machine learning to determine whether a breast mass is benign or malignant

Breat-cancer-screenings

Analysis of breast mass images

end2end-all-conv

Deep Learning to Improve Breast Cancer Detection on Screening Mammography

breast_cancer_classifier

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

vae_vampprior

Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling

Variational-Sparse-Coding

Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge

dpcca

Code for the paper "End-to-end training of deep probabilistic CCA on paired biomedical observations".

Variational_Sparse_Coding

This repository contains codes and examples implementing the variational sparse coding model

SemiDenseNet

Repository containing the code of one of the networks that we employed in the iSEG Grand MICCAI Challenge 2017, infant brain segmentation.

deep-learning-models

Keras code and weights files for popular deep learning models.

BreakHist-Dataset-Image-Classification

BreakHist Dataset contains histopathological images of eight types of breast cancer, including four benign cancer and for malignant cancer. In this project, I have trained and fined tuned many of the existing CNN models to get over 80% accuracy in multi-class classification.