crnn

Awesome multilingual OCR toolkits based on PaddlePaddle （practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices）

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

Implementation of popular deep learning networks with TensorRT network definition API

Text recognition (optical character recognition) with deep learning methods.

验证码识别

中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastText，TextCNN，CharCNN，TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN

Generate text images for training deep learning ocr model

Free Offline OCR 离线的中文文本检测+识别SDK

A Benchmark of Text Classification in PyTorch

Attention OCR Based On Tensorflow

Use CTC + tensorflow to OCR

基于pytorch的ocr算法库，包括 psenet, pan, dbnet, sast , crnn

CRNN with attention to do OCR,add Chinese recognition

A TensorFlow implementation of https://github.com/bgshih/crnn

SSD-based object and text detection with Keras, SSD, DSOD, TextBoxes, SegLink, TextBoxes++, CRNN

A client to connect to cortex-provisioned infrastructure on AWS to do license plate identification in real time.

A pure pytorch implemented ocr project including text detection and recognition

TensorFlow convolutional recurrent neural network (CRNN) for text recognition

UrbanSound classification using Convolutional Recurrent Networks in PyTorch

PaddleOCR inference in PyTorch. Converted from [PaddleOCR](https://github.com/PaddlePaddle/PaddleOCR)

Tool which allow you to detect and translate text.

An implementation of CRNN (CNN+LSTM+warpCTC) on MxNet for chinese text recognition

crnn实现水平和垂直方向中文文字识别, 提供在3w多个中文字符训练的水平识别和垂直识别的预训练模型; 欢迎关注,试用和反馈问题... ...

Pytorch model zoo for human, include all kinds of 2D CNN, 3D CNN, and CRNN

Lightweight CRNN for OCR (including handwritten text) with depthwise separable convolutions and spatial transformer module [keras+tf]

Computer vision tools for fairseq, containing PyTorch implementation of text recognition and object detection

PyTorch implementation of Convolutional Recurrent Neural Network

Convolutional Recurrent Neural Network(CRNN) for End-to-End Text Recognition - TensorFlow 2

MXNet OCR implementation. Including text recognition and detection.