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followers: 6.0 following: 53.0 repos: 704.0 gists: 3.0

Name: andyyang

Type: User

Company: Better vision system

Location: Wuhan, Hubei, China

Blog: https://ai.betvsys.com

andyyang's Projects

kubernetes-handbook

Kubernetes中文指南/云原生应用架构实战手册 - https://jimmysong.io/kubernetes-handbook

kubevirt

Kubernetes Virtualization API and runtime in order to define and manage virtual machines.

labelimg

:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images

labelmeannotationtool

Source code for the LabelMe annotation tool.

lanenet-lane-detection

Unofficial implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/

learnable-triangulation-pytorch

This repository is an official PyTorch implementation of the paper "Learnable Triangulation of Human Pose" (ICCV 2019, oral). Proposed method archives state-of-the-art results in multi-view 3D human pose estimation!

learnopencv

Learn OpenCV : C++ and Python Examples

lfai-landscape

🌄Open Source AI Landscape: This interactive landscape similar to that of the CNCF Landscape (https://l.cncf.io/) that sorts through open source AI, ML and DL projects, and shows details including GitHub stars, funding or market cap, first and last commits, contributor count and many more.

lfw_api

For better using Labeled Faces in the Wild Benchmark, I provide the code of three versions, namely C++, python and Octave.

libde265

Open h.265 video codec implementation.

libfacedetection

A fast binary library for face detection and face landmark detection in images. The face detection speed can reach 1500FPS. You can use it free of charge with any purpose.

libsvm.net

An easy way to use Support Vector Machines in your .NET projects (c# code)

libsvmsharp

C# wrapper of LibSVM

license-plate-detect-recognition-via-deep-neural-networks-accuracy-up-to-99.9

works in real-time with detection and recognition accuracy up to 99.8% for Chinese license plates: 100 ms/plate

linuxdeploy

Install and run GNU/Linux on Android

ltf

Linux Test Framework

lucene.net.initialstudy

Lucene.Net Inception Library implementatio. Super Alpha stage

mace

MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.

mace-models

Mobile AI Compute Engine Model Zoo

machine

Machine management for a container-centric world

machine-learning

Experiments, algorithms and reports in machine learning reseach.

machine-learning-roadmap-2020

Practical Road-map for getting started with Machine Learning and Data Science for Beginners in 2020.

machinelearning

Basic Machine Learning and Deep Learning

machinelearning-samples.zh-cn

ML.NET 示例中文版，英文原版请访问：https://github.com/dotnet/machinelearning-samples

magenta

Magenta: Music and Art Generation with Machine Intelligence

magento2

All Submissions you make to Magento Inc. ("Magento") through GitHub are subject to the following terms and conditions: (1) You grant Magento a perpetual, worldwide, non-exclusive, no charge, royalty free, irrevocable license under your applicable copyrights and patents to reproduce, prepare derivative works of, display, publically perform, sublicense and distribute any feedback, ideas, code, or other information (“Submission") you submit through GitHub. (2) Your Submission is an original work of authorship and you are the owner or are legally entitled to grant the license stated above. (3) You agree to the Contributor License Agreement found here: https://github.com/magento/magento2/blob/master/CONTRIBUTOR_LICENSE_AGREEMENT.html

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