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Attention U-Net with boundary loss for COVID detection
Official code for "Boundary loss for highly unbalanced segmentation", runner-up for best paper award at MIDL 2019. Extended version in MedIA, volume 67, January 2021.
[CVPR 2023] Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation
This repository is an unoffical PyTorch implementation of Semi-Supervised Learning on Medical Segmentation in 2D and 3D.
Semi-supervised segmentation on PV systems in Munich
Simple code for semi-supervised semantic-segmentation with FixMatch
PyTorch Implementation of FixMatchSeg, "Fixing FixMatch for Semi-Supervised Semantic Segmentation".
The code of ours paper "Uncertainty-aware Pseudo-label and Consistency for Semi-supervised Medical Image Segmentation"
Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"
更实用的Java开发的社区(论坛)，Better use of Java development community (forum)
novel 是一套基于时下最新 Java 技术栈 Spring Boot 3 + Vue 3 开发的前后端分离学习型小说项目，配备保姆级教程手把手教你从零开始开发上线一套生产级别的 Java 系统，由小说门户系统、作家后台管理系统、平台后台管理系统等多个子系统构成。包括小说推荐、作品检索、小说排行榜、小说阅读、小说评论、会员中心、作家专区、充值订阅、新闻发布等功能。
Summer framework is a minimal Spring framework.
mallchat的后端项目，是一个既能购物又能聊天的电商系统。以互联网企业级开发规范的要求来实现它，电商该有的购物车，订单，支付，推荐，搜索，拉新，促活，推送，物流，客服，它都必须有。持续更新ing。。（点个star，不迷路）
The java implementation of Apache Dubbo. An RPC and microservice framework.
Everything you need to know to get the job.
😮 Core Interview Questions & Answers For Experienced Java(Backend) Developers | 互联网 Java 工程师进阶知识完全扫盲：涵盖高并发、分布式、高可用、微服务、海量数据处理等领域知识
mall项目是一套电商系统，包括前台商城系统及后台管理系统，基于Spring Boot+MyBatis实现，采用Docker容器化部署。 前台商城系统包含首页门户、商品推荐、商品搜索、商品展示、购物车、订单流程、会员中心、客户服务、帮助中心等模块。 后台管理系统包含商品管理、订单管理、会员管理、促销管理、运营管理、内容管理、统计报表、财务管理、权限管理、设置等模块。
Design patterns implemented in Java
A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.
PyTorch model for the Generalized Probabilistic U-Net. For more details see: https://www.melba-journal.org/papers/2023:005.html
"Deep Generative Modeling": Introductory Examples