realyao's Stars
getify/You-Dont-Know-JS
A book series on JavaScript. @YDKJS on twitter.
CyC2018/CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计
FortAwesome/Font-Awesome
The iconic SVG, font, and CSS toolkit
ageitgey/face_recognition
The world's simplest facial recognition api for Python and the command line
AobingJava/JavaFamily
【Java面试+Java学习指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。
Tencent/weui
A UI library by WeChat official design team, includes the most useful widgets/modules in mobile web applications.
terryum/awesome-deep-learning-papers
The most cited deep learning papers
Tencent/wepy
小程序组件化开发框架
HarisIqbal88/PlotNeuralNet
Latex code for making neural networks diagrams
Awesome-HarmonyOS/HarmonyOS
A curated list of awesome things related to HarmonyOS. 华为鸿蒙操作系统。
youzan/vant-weapp
轻量、可靠的小程序 UI 组件库
Tencent/weui-wxss
A UI library by WeChat official design team, includes the most useful widgets/modules.
fangzesheng/free-api
收集免费的接口服务,做一个api的搬运工
encode/httpx
A next generation HTTP client for Python. 🦋
microsoft/STL
MSVC's implementation of the C++ Standard Library.
peng-zhihui/L-ink_Card
Smart NFC & ink-Display Card
xiaolin3303/wx-charts
微信小程序图表库,Charts for WeChat Mini Program
offu/WeRoBot
WeRoBot 是一个微信公众号开发框架
SkalskiP/make-sense
Free to use online tool for labelling photos. https://makesense.ai
megvii-research/ML-GCN
PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.
ZhiningLiu1998/awesome-machine-learning-resources
😎 A curated list of awesome lists across all machine learning topics. | 机器学习/深度学习/人工智能一切主题 (学习范式/任务/应用/模型/道德/交叉学科/数据集/框架/教程) 的资源列表汇总。
limoest/daily_reminder
微信公众号全自动每日推送(先看README.md里的内容)
wutong16/DistributionBalancedLoss
[ ECCV 2020 Spotlight ] Pytorch implementation for "Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets"
jiankang1991/GRN-SNDL
codes for TGRS paper: Graph Relation Network: Modeling Relations between Scenes for Multi-Label Remote Sensing Image Classification and Retrieval
vladan-stojnic/CMC-RSSR
This repository contains the code and models from the paper "Self-Supervised Learning of Remote Sensing Scene Representations Using Contrastive Multiview Coding".
nagmakhan/multi-label-analysis
marjanstoimchev/RSMLC
Remote Sensing Multi-Label Image Classification