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medical-db

医学影像数据集列表 『An Index for Medical Imaging Datasets』

medicalzoopytorch

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

miccai-opensourcepapers

MICCAI 2019-2023 Open Source Papers

ml2022-spring

**Official** 李宏毅 (Hung-yi Lee) 機器學習 Machine Learning 2022 Spring

mmdetection

OpenMMLab Detection Toolbox and Benchmark

monai-tutorials

MONAI Tutorials

myreid

nnie_mapper

海思hi3516dv300 nnie_mapper 工具 for ubuntu18.04

opencv_extra

OpenCV extra data

paddleseg

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-3dunet

3D U-Net model for volumetric semantic segmentation written in pytorch

pytorch-beginner

pytorch tutorial for beginners

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

pytorch-unet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

segloss

A collection of loss functions for medical image segmentation

segnext

Official Pytorch implementations for "SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation" (NeurIPS 2022)

segnext-1

SegNext Implementation in PyTorch

sklearn_mochine_leanring

利用sklearn实现机器学习算法：线性回归、逻辑回归、决策树、随机森林、SVM等

tensowflow

tfreid

traffic-signal-violation-detection-system

A Computer Vision based Traffic Signal Violation Detection System from video footage using YOLOv3 & Tkinter. (GUI Included)

unet-family

Paper and implementation of UNet-related model.

unity3dtraining

【Unity杂货铺】unity大杂烩~

x-net

X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Seperable Convolution and Long Range Dependencies (MICCAI 2019)

xpronet

[ECCV2022] The official implementation of Cross-modal Prototype Driven Network for Radiology Report Generation

yolov3-object-detection-with-opencv

This project implements a real-time image and video object detection classifier using pretrained yolov3 models.

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

yolov5-nnie

yolov5 nine hi3516 hi3519 object detect real-time