CRNN(Convolutional Recurrent Neural Network), with optional STN(Spatial Transformer Network), in Tensorflow, multi-gpu supported.

A series of experiments using convnets and LSTMs to generate text from images

Detecting the location and native language of a place from an image

crnn

Image-based sequence recognition model

TextSentimentClassification, using tensorflow.

Attention OCR Based On Tensorflow

use ctpn detect id cards and printed transfer orders then crnn discern them

crnn implemented in chainer

use CNN and LSTM to discern scene text, using tensorflow

crnn in mxnet.can train with chinese characters

This is a simple tensorflow implementation of CRNN

Use CTC + tensorflow to OCR

crnn pytorch chinese characters

MXNet OCR implementation. Including text recognition and detection.

Spoken language identification systems (LID) allow for automatic language detection given speech data. Among the many available methods that can be applied to this classification task, modern machine learning and deep learning approaches have been reported as effective. A previous study approached the problem of spoken language identification in…

Multi-label MFoM framework for DCASE 2016: Task 4

English Handwriting Recognition with CRNN and CTC Loss

Convolutional recurrent neural network in pytorch