JXQI

crack_Identify

水泥地裂纹识别

The-Classification-of-food-with-CNN

李宏毅2020作业三

CrawCity

Anonymize_Dicom

Bone-detection

CADLab

Imaging Biomarkers and Computer-Aided Diagnosis Laboratory

ChatGPT-Next-Web

One-Click to deploy well-designed ChatGPT web UI on Vercel. 一键拥有你自己的 ChatGPT 网页服务。

Cluster

CS-Notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

detect_tools

dicom2nii

DRClassifiar

FCN_ResNet_Classifiar

FracNet

[EBioMedicine] Deep-learning-assisted detection and segmentation of rib fractures from CT scans: Development and validation of FracNet

GLNet

[CVPR 2019, Oral] "Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images" by Wuyang Chen*, Ziyu Jiang*, Zhangyang Wang, Kexin Cui, and Xiaoning Qian

leetcode-master

LeetCode 刷题攻略：配思维导图，各个类型的经典题目刷题顺序、经典算法模板，以及详细图解和视频题解。这里精选的题目都不是孤立的，而是由浅入深一脉相承的，相信只要按照刷题攻略上的顺序来学习，一定会有所收获！给个star支持一下吧！

medicaldetectiontoolkit

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

MedMNIST

MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis

mmdetection

OpenMMLab Detection Toolbox and Benchmark

mmdetection-mini

mmdetection最小学习版

mmyolo

OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.

ModelsGenesis

Official Keras & PyTorch Implementation and Pre-trained Models for Models Genesis - MICCAI 2019

MRibNet

Multi-task rib fracture detection

RibfracDetection

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

temp

wechat-chatgpt

Use ChatGPT On Wechat via wechaty

wechat_gpt

yolov3

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

YOLOX

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/