Client-side web application for analyzing quantitative and qualitative transitional care data
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Updated
Jun 16, 2017 - JavaScript
Client-side web application for analyzing quantitative and qualitative transitional care data
Server-side web application for analyzing quantitative and qualitative transitional care data
Cross-platform Cgo API for customizable key bindings
The Americans with Disabilities Act (ADA) applies to websites. A digital divide occurs when websites deny access, isolate and deprive users who live in rural areas, have older computers, are sick, visually impaired, with temporary or permanent physical limitations such as - broken bones, cancer, lymphedema, cataracts, strokes, and palsy.
Create colorful background images utilizing the Collatz conjecture
A basic library to generate image and gif captchas.
machine learning model to predict individuals chances of having a stroke. See users view of app here: https://ml-stroke-predictions.herokuapp.com/
汉字拆字库,可以将汉字拆解成偏旁部首,在机器学习中作为汉字的字形特征
漢語拆字字典
Data Augmentation using python for the Deep Learning
Browser-based image sketchpad for annotating several structures on an image. Output is a JSON/PNG/SVG binary 2D segmentation mask that can be re-loaded.
A small package to fuzzy match chinese words
JavaScript Drawing Board
Add a description, image, and links to the strokes topic page so that developers can more easily learn about it.
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