Stars
A custom RPC framework implemented by Netty+Kyro+Zookeeper.(一款基于 Netty+Kyro+Zookeeper 实现的自定义 RPC 框架-附详细实现过程和相关教程。)
OpenMMLab Pose Estimation Toolbox and Benchmark.
An authorization library that supports access control models like ACL, RBAC, ABAC in Golang: https://discord.gg/S5UjpzGZjN
The AVA dataset densely annotates 80 atomic visual actions in 351k movie clips with actions localized in space and time, resulting in 1.65M action labels with multiple labels per human occurring fr…
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
【超全golang面试题合集+golang学习指南+golang知识图谱+入门成长路线】 一份涵盖大部分golang程序员所需要掌握的核心知识。常用第三方库(mysql,mq,es,redis等)+机器学习库+算法库+游戏库+开源框架+自然语言处理nlp库+网络库+视频库+微服务框架+视频教程+音频音乐库+图形图片库+物联网库+地理位置信息+嵌入式脚本库+编译器库+数据库+金融库+电子邮件库…
Real-time 3D multi-person pose estimation demo in PyTorch. OpenVINO backend can be used for fast inference on CPU.
Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.
Light-weight Single Person Pose Estimator
Human Pose estimation with TensorFlow framework
Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System
Code for CVPR19 paper "Monocular Total Capture: Posing Face, Body and Hands in the Wild"
A collection of awesome resources in Human Pose estimation.
💃 Real-time single person pose estimation for Android and iOS.
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A modern Go utility library which provides helpers (map, find, contains, filter, ...)
Go language library for reading and writing Microsoft Excel™ (XLAM / XLSM / XLSX / XLTM / XLTX) spreadsheets
GoDS (Go Data Structures) - Sets, Lists, Stacks, Maps, Trees, Queues, and much more
最好的汉字数字(中文数字)-阿拉伯数字转换工具。包含"点二八","负百分之四十"等众多汉语表达方法。NLP,机器人工程必备! The Best Tool of Chinese Number to Digits
GoMock is a mocking framework for the Go programming language.
Code for training and test machine learning classifiers on MIT-BIH Arrhyhtmia database
Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network