47 skills found · Page 1 of 2
Jiar / SegementSlideMulti-tier UIScrollView nested scrolling solution. 😋😋😋
short-d / ShortURL shortening service written in Go and React
CrabMen / CMPageTitleView✍️一分钟集成类似抖音，新浪微博，腾讯视频，网易新闻，今日头条等常见的标题栏样式，api灵活易扩展，支持Cocoapods和Masonry布局，支持ChildController的完整生命周期
wangx1996 / Lidar SegementationAn implementation on "Curved-Voxel Clustering for Accurate Segmentation of 3D LiDAR Point Clouds with Real-Time Performance" from IROS 2019
textlint-rule / Sentence SplitterSplit {Japanese, English} text into sentences.
lizhangjie316 / Awesome 3D Point Cloud Semantic Segement3D点云语义分割汇总，所有顶会论文以及一些arxiv上的最新论文
AstarLight / Text SegementationNo description available
wangx1996 / Range Image Based SegementationAn implementation on "I. Bogoslavskyi and C. Stachniss, "Fast range image-based segmentation of sparse 3D laser scans for online operation," 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Daejeon, 2016, pp. 163-169, doi: 10.1109/IROS.2016.7759050."
sulaimanvesal / VertebraeSegementationPyTorch code: Spine and Vertebrae Segmentation
largetalk / Yasegyet another segement
A-Soul-Database / RangeDownloaderOnly download a single part of clip by time range instead of whole video.
Garyandtang / Gary LSDMatlab_Line_Segement_Detector
CrabMen / Flutter Tab Indicator📱A Flutter library to add the Common effect (line, bubble, dot ...) of tab indicator.
wh8817221 / SegementViewSegementViewDemo是一个纯Swift的轻量级、灵活且易于使用，支持右边按钮的显示和隐藏.
NimmLor / 7 Segement ClockFiles for the 7 segment clock
rohitghosh / Chromosome SegementationNo description available
DwarakanadhKopuri / Online Retail Customer SegementationIntroduction In ecommerce companies like online retails, customer segmentation is necessary in order to understand customers behaviors. It leverages aqcuired customer data like the one we have in our case, transactions data in order to divide customers into groups. Our goal in this Notebook is to cluster our customers to get insights in: Increasing revenue (Knowing customers who present most of our revenue) Increasing customer retention Discovering Trends and patterns Defining customers at risk We will do RFM Analysis as a first step and then combine RFM with predictive algorithms (k-means). RFM Analysis answers these questions: Who are our best customers? Who has the potential to be converted in more profitable customers? Which customers we must retain? Which group of customers is most likely to respond to our current campaign? More about RFM here.
zwl-max / Mouth Instance SegementNo description available
islandlab-unlv / Universal Image SegementationSegmentation program to identify the thickness of 2D materials from optical microscopy images.
wkwl / SegementControllersNo description available
