954 Open source projects that are alternatives of or similar to Crnn_attention_ocr_chinese

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

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

Voice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our directly recorded dataset.

This package contains an OCR engine - libtesseract and a command line program - tesseract. Tesseract 4 adds a new neural net (LSTM) based OCR engine which is focused on line recognition, but also still supports the legacy Tesseract OCR engine of Tesseract 3 which works by recognizing character patterns. Compatibility with Tesseract 3 is enabled by using the Legacy OCR Engine mode (--oem 0). It also needs traineddata files which support the legacy engine, for example those from the tessdata repository.

OCR engine for all the languages

A pure pytorch implemented ocr project including text detection and recognition

Tensorflow-based CNN+LSTM trained with CTC-loss for OCR

My Attempt(s) In The World Of ML/DL....

Some of the ML and DL related reading materials, research papers that I've read

Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.

crnn in mxnet.can train with chinese characters

Enhanced BiLSTM Inference Model for Natural Language Inference

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

验证码识别

CNN+LSTM+CTC based OCR implemented using tensorflow.

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

Sorting numbers with pointer networks

主流ocr算法研究实验性的项目，目前实现了CNN+BLSTM+CTC架构

Machine learning, in numpy

Implementation of papers for text classification task on DBpedia

Seq2Seq, Bert, Transformer, WaveNet for time series prediction.

Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".

Identifying numbers from bankcard, based on Deep Learning with Keras [China Software Cup 2019]

UrbanSound classification using Convolutional Recurrent Networks in PyTorch

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

Applying Common-Sense Reasoning to Multi-Modal Dense Video Captioning and Video Question Answering | Python3 | PyTorch | CNNs | Causality | Reasoning | LSTMs | Transformers | Multi-Head Self Attention | Published in IEEE Winter Conference on Applications of Computer Vision (WACV) 2021

[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings

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)

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... ...

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

implement CRNN in Keras with Spatial Transformer Network

BasicOCR是一个致力于解决自然场景文字识别算法研究的项目。该项目由长城数字大数据应用技术研究院佟派AI团队发起和维护。

A Benchmark of Text Classification in PyTorch

A stupid OCR for malayalam language

📚 Text classification library with Keras

Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971

using rnn (lstm or gru) and ctc to convert line image into text, based on torch7 and warp-ctc

Bangla Machine Translator

CNN, LSTM, NBOW, fasttext 中文文本分类

document classification using LSTM + self attention

Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0

Generate text images for training deep learning ocr model

Pytorch implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)

Attention-based multimodal fusion for sentiment analysis

ICDAR 2019 Robust Reading Challenge on Scanned Receipts OCR and Information Extraction

基於關聯式新聞提取方法之雙階段注意力機制模型用於股票預測

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

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

crnn.caffe

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".

Word Sense Disambiguation using Word Specific models, All word models and Hierarchical models in Tensorflow

MXNet OCR implementation. Including text recognition and detection.

A new fork base on tess-two and Tesseract 4.0.0

Free Offline OCR 离线的中文文本检测+识别SDK

中文聊天机器人，基于10万组对白训练而成，采用注意力机制，对一般问题都会生成一个有意义的答复。已上传模型，可直接运行，跑不起来直播吃键盘。

nlp lecture-notes and source code

Deep-learning models of NTUA-SLP team submitted in SemEval 2018 tasks 1, 2 and 3.

Image captioning using attention models

A LSTM model using Risk Estimation loss function for stock trades in market