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asc-net

MICCAI 2021 | Adversarial based selective network for unsupervised anomaly segmentation

auto-dailyup

西安电子科技大学(包含广州研究院)晨午晚检自动填报工具

auto-dailyup-1

西安电子科技大学晨午晚检自动填报工具

awesome-cs-books

经典编程书籍大全，涵盖：计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

cardiac-segmentation

ccd

Code for 'Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images' (MICCAI 2021)

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

copytranslator

Foreign language reading and translation assistant based on copy and translate.

covid-19-repo

covid-vit

cpp_primer_practice

搞定C++:punch:。C++ Primer 中文版第5版学习仓库，包括笔记和课后练习答案。

dst-cbc

Implementation of our paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"

du-gan

DU-GAN: Generative Adversarial Networks with Dual-Domain U-Net Based Discriminators for Low-Dose CT Denoising

duo-segnet

[MICCAI2021] This is an official PyTorch implementation for "Duo-SegNet: Adversarial Dual-Views for Semi-Supervised Medical Image Segmentation"

etci-2021-competition-on-flood-detection

Experiments on Flood Segmentation on Sentinel-1 SAR Imagery with Cyclical Pseudo Labeling and Noisy Student Training

fucking-algorithm

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

grpc

The C based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)

hecktor

hecktor-1

hellogithub

:octocat: 分享 GitHub 上有趣、入门级的开源项目，帮你找到编程的乐趣。欢迎推荐、自荐项目，让更多人知道你的项目⭐️

ifl_unsup_anom_det

ipv6-hosts

Fork of https://code.google.com/archive/p/ipv6-hosts/, focusing on automation

javap7

jd_tencent_scf

自用京东JS脚本，已加入助力池；支持【青龙】、【腾讯云函数】、【elecV2P】；低调使用，请勿fork！！！

js_tool

Node网页开发工具

learnopencv

Learn OpenCV : C++ and Python Examples

mi-based-regularized-semi-supervised-segmentation

This is a place holder for an incomming paper.

ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

mnms_example

M&Ms challenge example model for evaluation.