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Type: User
Company: CQU
Location: 重庆
Type: User
Company: CQU
Location: 重庆
HyponymyExtraction and Graph based on KB Schema, Baike-kb and online text extract, 基于知识概念体系,百科知识库,以及在线搜索结构化方式的词语上下位抽取与可视化展示
此库为2017-2018年度工程实践项目,主要目的是能够识别图像类别,尤其是医学类,然后在医学类中再进行更为细致的类别识别,以达到医学影像这一垂直领域的应用目的。
双目立体视觉是计算机视觉范畴的核心之一,它利用双目相机来获得目标物体的图像,经过物体图像处理 之后得到目标物体所在场景环境的三维信息,最终实现非接触条件下测距,简单便捷。本次毕业设计主要内容为研究 基于双目立体视觉平台上的图像匹配以及目标物体的距离测量技术,图像特征提取部分研究了 SIFT 算法和 SURF 算 法,特征匹配部分研究了 BF 法和 FLANN 法,距离测量研究主要通过视差深度的计算,结合视觉坐标系的转换实现 三维位置的定位与测量。结合维视双目立体视觉测量平台 MV-VS220,通过 Python+OpenCV 设计实现一个具备图像 采集、图像匹配以及距离测量等功能的原型演示系统。系统可实现对关键环节的过程与结果的演示,以及不同算法的 性能比较。系统测试表明,所开发的原型演示系统从界面、功能与性能方面均达到了设计的要求。
An building code for a new framework in image-text matching task
Image Caption and Text to Image papers.
images classification network
Overall process and code of image classification with pytorch model
Benchmark datasets and code used in our paper "Deep Image Harmonization via Domain Verification", CVPR2020. Useful for Image harmonization, image composition/compositing, etc.
Code for reproducing experiments in "Improved Training of Wasserstein GANs"
有趣的Python爬虫和Python数据分析小项目(Some interesting Python crawlers and data analysis projects)
📚 C/C++ 技术面试基础知识总结,包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.
2019年最新总结,阿里,腾讯,百度,美团,头条等技术面试题目,以及答案,专家出题人分析汇总。
2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记
Joint-modal Distribution-based Similarity Hashing for Large-scale Unsupervised Deep Cross-modal Retrieval
🔎 互联网内推信息(社招、校招、实习)
专注于解决数字图像处理领域的几个核心问题:图像转换,图像相似度,目标定位,目标检测,图像分割,图像聚类和图像分类. 为相关领域的研发人员提供完整的通用设计与参考实现. 涵盖了多种数字图像处理,计算机视觉,计算机图形算法.
专注于解决推荐领域与搜索领域的两个核心问题:排序预测(Ranking)和评分预测(Rating). 为相关领域的研发人员提供完整的通用设计与参考实现. 涵盖了70多种排序预测与评分预测算法,是最快最全的Java推荐与搜索引擎.
一套涵盖核心编程, 人工智能, 云, 推荐与搜索领域的Java轻量级框架.
kaggle实战
Image Restoration Toolbox (PyTorch). Training and testing codes for DnCNN, FFDNet, SRMD, DPSR, MSRResNet, ESRGAN, IMDN
A tensorflow implementation of Knowledge Graph Convolutional Networks
Reinforced Negative Sampling over Knowledge Graph for Recommendation, WWW2020
KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019
东南大学《知识图谱》研究生课程
kuaishou big data challenge
:metal: LabelImgPlus is a graphical image annotation tool which supports CLS,DET and SEG
\LaTeX 中文模版收集。
Website for personal collection and previewing of LaTeX templates. Presented with Python/Jinja2.
🔥机器学习/深度学习/Python/算法面试/自然语言处理教程 / machine learning/deeplearning/Python/Algorithm interview/NLP Tutorial
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.