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A set of beautifully-designed, accessible components and a code distribution platform. Works with your favorite frameworks. Open Source. Open Code.
CookLabel是基于开源项目LabelImg开发的增强版图像标注工具,在保留原有标注功能的基础上,新增了多项实用功能,实现从采集的原始数据到模型的训练数据工作流程的一体化。
Merging Context Clustering with Visual State Space Models for Medical Image Segmentation
[Patterns (Cell subsidiary journal)] The official code for "UltraLight VM-UNet: Parallel Vision Mamba Significantly Reduces Parameters for Skin Lesion Segmentation".
CVPR 2025: Frequency Dynamic Convolution for Dense Image Prediction
小红书笔记 | 评论爬虫、抖音视频 | 评论爬虫、快手视频 | 评论爬虫、B 站视频 | 评论爬虫、微博帖子 | 评论爬虫、百度贴吧帖子 | 百度贴吧评论回复爬虫 | 知乎问答文章|评论爬虫
基于机器学习的商品评论情感分析——毕业设计项目
基于微博数据的舆情分析项目,包括微博爬虫、LDA主题分析和情感分析。
微博超级话题爬虫,微博词频统计+情感分析+简单分类,新增肺炎超话爬取数据
This repository is for the first comprehensive survey on Meta AI's Segment Anything Model (SAM).
【蓝桥杯Python冲刺课】视频合集 https://space.bilibili.com/398421867/lists?sid=4898042&spm_id_from=333.788.0.0
山东大学SDU大数据BigData课程设计,基于hadoop实现的图书推荐系统。java web apriori
SensmD / MIT6s978
Forked from L1ngYu/MIT6s978MIT 6.S978 24Fall
This is the pytorch implement of the paper "RSRefSeg: Referring Remote Sensing Image Segmentation with Foundation Models"
FlashMLA: Efficient Multi-head Latent Attention Kernels
Medical SAM 2: Segment 3D Medical Images Via Segment Anything Model 2
This is the pytorch implement of our paper "RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation based on Visual Foundation Model"
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.