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06-rabbitmqdemo

RabbitMQ Demo

anjianjingling

用java实现的简易版的类似按键精灵的小程序

awesome-scene-text-detection

Tracking the latest progress in Scene Text Detection and Recognition: Must-read papers well organized with code and dataset

bbox-label-tool

A simple tool for labeling object bounding boxes in images

bert-joint-nlu

使用bert做领域分类、意图识别和槽位填充任务

book_vue

chinese_ocr

CTPN + DenseNet + CTC based end-to-end Chinese OCR implemented using tensorflow and keras

chinese_slot_filling

chineseocr

chineseocr-1

yolo3+ocr

chineseocr_lite

超轻量级中文ocr，支持竖排文字识别, 支持ncnn、mnn、tnn推理 ( dbnet(1.8M) + crnn(2.5M) + anglenet(378KB)) 总模型仅4.7M

cnocr-models

pretrained models for cnocr

crnn-pytorch

Pytorch implementation of CRNN (CNN + RNN + CTCLoss) for all language OCR.

crnn-text-recognition-on-cross-domain-datasets

Improved CRNN on different text domains like scene text, hand written, document, chinese/english, even ancient books

crnn.pytorch

Convolutional recurrent network in pytorch

cv_toolbox

data preprocess for cv, including data aug (general and cutout) for object detection, KITTI, COCO data to VOC

darknet-ocr

darknet text detect and darknet cnn ocr

dbnet.pytorch

A pytorch re-implementation of Real-time Scene Text Detection with Differentiable Binarization

dbnet_torch

you can use dbnet to detect word or bar code,Knowledge Distillation is provided,also python tensorrt inference is provided.

deep-learning-for-natural-language-processing

Solve your natural language processing problems with smart deep neural networks

deep-one-shot-logo-retrieval

A Deep One-Shot Network for Query-based Logo Retrieval [Pattern Recognition 2019, Elsevier]

dev-sidecar

eladmin

项目基于 Spring Boot 2.1.0 、 Jpa、 Spring Security、redis、Vue的前后端分离的后台管理系统，项目采用分模块开发方式， 权限控制采用 RBAC，支持数据字典与数据权限管理，支持一键生成前后端代码，支持动态路由

few-shot-learning

git-demo

gobangga

Beast chess and canvas

hwr-address

(Deprecated) deep learning based Chinese handwriting character recognition, 基于深度学习的手写汉字地址识别

it_book

本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍，没准你想找的书就在这里呢，包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列（常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习，深度学习等等），大数据系列(Spark,Hadoop,Scala,kafka等)，程序员必修系列（C、C++、java、数据结构、linux，设计模式、数据库等等）

java-eight-part

『Java八股文』Java面试套路，Java进阶学习，打破内卷拿大厂Offer，升职加薪！

learning-note

java开发 面试八股文（个人的面试及工作总结）