jwon0615

jwon0615

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awesome-react-framer-x

A collection of awesome links to learn React, ES6 & Framer X

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BoostNote-Legacy

This repository is outdated and new Boost Note app is available! We've launched a new Boost Note app which supports real-time collaborative writing. https://github.com/BoostIO/BoostNote-App

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figma-plus

Main code of the Figma Plus system.

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inkscape-shortcut-manager

Inkscape shorcut manager

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small

Smallest possible syntactically valid files of different types

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HE2LaTeX

Converting handwritten equations to LaTeX

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HwpSharp

C# Library for hwp document

License:MITStargazers:14Issues:0Issues:0

pyhwp

.hwp file format v5 parser in python

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marp

The entrance repository of Markdown presentation ecosystem

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marp

The site of classic Markdown presentation writer app

License:MITStargazers:7893Issues:0Issues:0

awesome-swift

A collaborative list of awesome Swift libraries and resources. Feel free to contribute!

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smile

Statistical Machine Intelligence & Learning Engine

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microsoft-todo-mac

๐Ÿœ Microsoft-ToDo macOS App. ๅพฎ่ฝฏTodo macๅฎขๆˆท็ซฏ.

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fermatslibrary

A repository of programs to prove or disprove the things said in Fermat's Library.

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js-code-to-svg-flowchart

js2flowchart - a visualization library to convert any JavaScript code into beautiful SVG flowchart. Learn otherโ€™s code. Design your code. Refactor code. Document code. Explain code.

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math-api

Put LaTeX Math equation on everywhere as <img> tag.

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ramme

Unofficial Instagram Desktop App.

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mathquill

Easily type math in your webapp

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latex2svg

Render LaTeX markup and equations to SVG

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figma-platformer-engine

Build a platformer straight from Figma without code ๐Ÿ•น๏ธ

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chart

Create the most popular types of charts by real or random data

License:MITStargazers:1183Issues:0Issues:0

pock

Widgets manager for MacBook Touch Bar

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2018-OOP-Python-BARKBARK

2018ํ•™๋…„๋„ ๊ฐ์ฒด์ง€ํ–ฅ ํ”„๋กœ๊ทธ๋ž˜๋ฐ ํ”„๋กœ์ ํŠธ ์˜ˆ์‹œ

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Moeditor

(discontinued) Your all-purpose markdown editor.

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oop_python_ex

2018 SASA OOP Python Example

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N2H4

๋„ค์ด๋ฒ„ ๋‰ด์Šค ์ˆ˜์ง‘์„ ์œ„ํ•œ ๋„๊ตฌ

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tensorflow-mnist-cnn

MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented.

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