1078 Open source projects that are alternatives of or similar to Icdar 2019 Sroie

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

Transformers for Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

CTC end -to-end ASR for timit and 863 corpus.

A wrapper to work with Tesseract OCR inside PHP.

[EMNLP 2020] Text Classification Using Label Names Only: A Language Model Self-Training Approach

Bindings to Tesseract OCR engine for R

Keras implementation of Legendre Memory Units

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

Awesome-Text-Classification Projects,Papers,Tutorial .

HDLTex: Hierarchical Deep Learning for Text Classification

基于Transformers的文本分类

fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.

Implementation of Very Deep Convolutional Neural Network for Text Classification

A pure pytorch implemented ocr project including text detection and recognition

iPython notebook and Android app that shows how to build LSTM model in TensorFlow and deploy it on Android

🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!

名片扫描-微信小程序，包括腾讯 ai 开放平台的使用，以及在小程序中实现图片转 Base64 的方法。

Use caffe to train your own data in just one click

Andorid端实时车牌识别Realtime chinese plate recoginition on android

The Best Image OCR SDK For BAT

Multi dimensional LSTM as described in Alex Graves' Paper https://arxiv.org/pdf/0705.2011.pdf

Captcha Intruder (CIntrud3r) is an automatic pentesting tool to bypass captchas.

Forked from argman/EAST for the ICPR MTWI 2018 CHALLENGE

State of the Art Natural Language Processing

TensorFlow template application for deep learning

lidc nodule detection with CNN and LSTM network

[验证码识别-训练] This project is based on CNN/ResNet/DenseNet+GRU/LSTM+CTC/CrossEntropy to realize verification code identification. This project is only for training the model.

attention-based LSTM/Dense implemented by Keras

Code for Mimicking Word Embeddings using Subword RNNs (EMNLP 2017)

transform multi-label classification as sentence pair task, with more training data and information

Implementing nlp papers relevant to classification with PyTorch, gluonnlp

Automatic image captioning model based on Caffe, using features from bottom-up attention.

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch. Based on code of https://github.com/karpathy/char-rnn. Support Chinese and other things.

HMS ML Demo provides an example of integrating Huawei ML Kit service into applications. This example demonstrates how to integrate services provided by ML Kit, such as face detection, text recognition, image segmentation, asr, and tts.

5th place solution for Kaggle competition Favorita Grocery Sales Forecasting

Macadam是一个以Tensorflow(Keras)和bert4keras为基础，专注于文本分类、序列标注和关系抽取的自然语言处理工具包。支持RANDOM、WORD2VEC、FASTTEXT、BERT、ALBERT、ROBERTA、NEZHA、XLNET、ELECTRA、GPT-2等EMBEDDING嵌入; 支持FineTune、FastText、TextCNN、CharCNN、BiRNN、RCNN、DCNN、CRNN、DeepMoji、SelfAttention、HAN、Capsule等文本分类算法; 支持CRF、Bi-LSTM-CRF、CNN-LSTM、DGCNN、Bi-LSTM-LAN、Lattice-LSTM-Batch、MRC等序列标注算法。

"20 Newsgroups" text classification with python

Speaker independent emotion recognition

A handwriting recognition example for iOS using NeuralNet

Automatic License Plate Recognition (ALPR) or Automatic Number Plate Recognition (ANPR) software that works with any camera.

Experimental optical character recognition app

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

LSTM and QRNN Language Model Toolkit for PyTorch

Automated Testing for Set-Top Boxes and Smart TVs

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

Fork of tess-two rewritten from scratch to support latest version of Tesseract OCR.

A python program that uses the concept of OCR using machine learning to identify the characters on a Nigerian license plate

Text detection with mainly MSER and SWT

集成了Tensorflow 2版本的端到端语音识别模型，并且RTF(实时率)在0.1左右/Mandarin State-of-the-art Automatic Speech Recognition in Tensorflow 2

Scene text detection and recognition based on Extremal Region(ER)

Text vectorization tool to outperform TFIDF for classification tasks

Neural network models for joint POS tagging and dependency parsing (CoNLL 2017-2018)

PyTorch implementation of Full Resolution Image Compression with Recurrent Neural Networks

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

News summarization using sequence to sequence model with attention in TensorFlow.

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)

Neural models for Text Classification in Tensorflow, such as cnn, dpcnn, fasttext, bert ...

TensorFlow Implementation of the paper "End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures" and "Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths" for classifying relations