lfwjune,github

algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-deep-learning-papers

The most cited deep learning papers

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

caffe-model

Caffe models (includimg classification, detection and segmentation) and deploy files for famouse networks

caffe-model-zoo

caffe pretrained models and prototxt

caffe_multilabel_classification

This is a instance of multilabel classification in caffe. Thanks to the tools of multi-label data conversion tool in https://github.com/HolidayXue/CodeSnap by HolidayXue.

carnd-vehicle-detection

Vehicle Detection Project

cs-notes

:books: Computer Science Learning Notes

cs_offer

计算机学科基础知识和主流编程语言相关内容的总结

deep-anpr

Using neural networks to build an automatic number plate recognition system

deeplearning-500-questions

easypr

An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations.

end-to-end-for-chinese-plate-recognition

多标签分类,端到端的中文车牌识别基于mxnet, End-to-End Chinese plate recognition base on mxnet

faster_rcnn

Faster R-CNN

hands_on_ml_with_sklearn_and_tf

OReilly Hands On Machine Learning with Scikit Learn and TensorFlow (Sklearn与TensorFlow机器学习实用指南)

hello-world

just a new repository

helloface

Face Technology Repository

hyperlpr

基于深度学习高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.

imageai

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

labelimg

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

leetcode

LeetCode Problems' Solutions

leetcode-notes

LeetCode 算法解答

leetcodeanimation

Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）

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

local-try

try local repository

note

学习笔记整理📚

openalpr

Automatic License Plate Recognition library

py-faster-rcnn-windows

py-faster-rcnn that can compile on windows directly

python-100-days

Python - 100天从新手到大师

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