yingliC

yingliC's Stars

• ryanoasis/nerd-fonts

  Iconic font aggregator, collection, & patcher. 3,600+ icons, 50+ patched fonts: Hack, Source Code Pro, more. Glyph collections: Font Awesome, Material Design Icons, Octicons, & more

  Language:CSS55.8k3921k3.7k

• halfrost/LeetCode-Go

  ✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解

  Language:Go33.2k626795.7k

• Homebrew/homebrew-cask

  🍻 A CLI workflow for the administration of macOS applications distributed as binaries

  Language:Ruby21k3196.6k10.8k

• nhn/tui.editor

  🍞📝 Markdown WYSIWYG Editor. GFM Standard + Chart & UML Extensible.

  Language:TypeScript17.3k2321.6k1.8k

• BoostIO/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  This repository is outdated and new Boost Note app is available!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

  Language:JavaScript17k3022.3k1.5k

• jdg/MBProgressHUD

  MBProgressHUD + Customizations

  Language:Objective-C16k5584233.6k

• google/blockly

  The web-based visual programming editor.

  Language:TypeScript12.6k4422.9k3.7k

• fchollet/deep-learning-models

  Keras code and weights files for popular deep learning models.

  Language:Python7.3k2971072.5k

• rd2coding/Road2Coding

  编程之路

  6.9k10832984

• qinyuhang/ShadowsocksX-NG-R

  Next Generation of ShadowsocksX

  6.7k2671741k

• AliSoftware/Reusable

  A Swift mixin for reusing views easily and in a type-safe way (UITableViewCells, UICollectionViewCells, custom UIViews, ViewControllers, Storyboards…)

  Language:Swift3k5260234

• facebookresearch/fastMRI

  A large-scale dataset of both raw MRI measurements and clinical MRI images.

  Language:Python1.4k73116382

• Haley-Wong/JKDBModel

  FMDB的封装，极大简化你的数据库操作，对于自己的扩展也非常简单

  Language:Objective-C7482454196

• iMoonLab/HGNN

  Hypergraph Neural Networks (AAAI 2019)

  Language:Python703622136

• google/blockly-ios

  Blockly for iOS

  Language:Swift40339168107

• weiyinwei/MMGCN

  MMGCN: Multi-modal Graph Convolution Network forPersonalized Recommendation of Micro-video

  Language:Python29165953

• lisongrc/UIImage-Categories

  UIImage的一些Categories，方便开发

  Language:Objective-C1918163

• malllabiisc/HyperGCN

  NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs

  Language:Python1884432

• vkola-lab/brain2020

  Development and validation of an interpretable deep learning framework for Alzheimer's disease classification

  Language:Python16042553

• BinaryAI-1024/mml-book-chinese

  《MATHEMATICS FOR MACHINE LEARNING》 一书的部分翻译。

  1032020

• sonal-bansal/Detection-and-Classification-of-Alzheimers-Disease

  The purpose of this paper is to detect Alzheimer’s Disease using Deep Learning and Machine Learning algorithms on the early basis which is being further optimized using CSA(Crow Search Algorithm). Alzheimer’s is one of kind and fatal. The early detection of Alzheimer’s Disease because of it’s progressive risk and patients all around the world. Early detection of AD is promising as it can help lot of patients to predetermine the condition they may face in future. AD being progressive, can be prevented if detected early. On worse stage, the curing of this disease is very difficult and expensive. So, by analyzing the consequences of AD, we can make use of Artificial intelligence technology by using MRI scanned images to classify the patients if they may or may not have AD in future. Using of Bio-inspired algorithm can maximize the result and accuracy for this purpose. After comparing the results of the various AI technologies, CSA came to be the best approach, using it with ML algorithms.

  Language:Jupyter Notebook805123

• MisterBooo/FMDBDemo

  FMDB的简单使用Demo

  Language:Objective-C533218

• zhangferry/FYBluetooth

  基本蓝牙功能的Demo

  Language:Objective-C35605

• Txiaobin/deep-multi-view-feature-learning

  Language:MATLAB15019

• weidongjiang/JWDFMDB-Data-Message

  Language:Objective-C10201

• HatDu/FourierVisualization

  傅里叶变换的可视化

  Language:Python9211

• mrirecon/bart-workshop-OLD

  Language:Jupyter Notebook7302

• yingliC/deep_learning_from_scratch

  learning

  Language:Python1200

• yingliC/matplotlib_learning

  matplotlib learning

  Language:Python1200

• yingliC/scanFill_matlab

  Language:MATLAB1200