Shine LEE (shineleex)

shineleex

Geek Repo

Company:UCAS

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Shine LEE's repositories

500lines

500 Lines or Less

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awesome

:sunglasses: Curated list of awesome lists

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awesome-deep-vision

A curated list of deep learning resources for computer vision

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conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

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cpython

python 内核源码学习

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Deep-Learning-Papers-Reading-Roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

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DeepLearningBook

MIT Deep Learning Book in PDF format

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DeepSkeleton

:racehorse:code for cvpr2016 paper "Object Skeleton Extraction in Natural Images by Fusing Scale-associated Deep Side Outputs"

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digit

digital meter numbers detection. :one: :two: :three:

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FairMOT

[IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking

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FingerNet

FingerNet is an universal deep ConvNet for extracting fingerprint representations including orientation field, segmentation, enhenced fingerprint and minutiae.

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GoAgent-Always-Available

一直可用的GoAgent,会定时扫描可用的google gae ip,提供可自动化获取ip运行的版本

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hashing-baseline-for-image-retrieval

:octocat:Various hashing methods for image retrieval and serves as the baselines

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labelImg

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

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MLPB

Machine Learning Problem Bible

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ncnn

ncnn is a high-performance neural network inference framework optimized for the mobile platform

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neon-guide

Makes ARM NEON documentation accessible (with examples)

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NotionNext

使用 NextJS + Notion API 实现的,支持多种部署方案的静态博客,无需服务器、零门槛搭建网站,为Notion和所有创作者设计。

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Numerical-Recipes

Numerical Recipes

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Pytorch_Retinaface

Retinaface get 80.99% in widerface hard val using mobilenet0.25.

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scikit-learn-videos

Jupyter notebooks from the scikit-learn video series

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tbox

A glib-like multi-platform c library

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ucasthesis

LaTeX thesis template for The University of Chinese Academy of Sciences **科学院大学学位论文模板

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web_server

这是一个 python 写的轻量级的文件共享服务器(基于内置的SimpleHTTPServer模块),支持文件上传下载,只要你安装了python(建议版本2.6~2.7,不支持3.x)。

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