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

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

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

主流ocr算法研究实验性的项目，目前实现了CNN+BLSTM+CTC架构

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

CNN+LSTM+CTC based OCR implemented using tensorflow.

Implementation of papers for text classification task on DBpedia

A research project for text detection and recognition using PyTorch 1.2.

CRNN with attention to do OCR,add Chinese recognition

Tensorflow Implementation of Recurrent Neural Network (Vanilla, LSTM, GRU) for Text Classification

Text classification with Reuters-21578 datasets using Gensim Word2Vec and Keras LSTM

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

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

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

[2017知乎看山杯 多标签 文本分类] ye组(第六名) 解题方案

分别使用rnn/cnn/rcnn来实现根据患者描述，进行疾病诊断

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.

Sarcasm Detection for Sentiment Analysis

📚 Text classification library with Keras

Bert-classification and bert-dssm implementation with keras.

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。

OCR engine for all the languages

Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on Python 3. A sentiment analysis project.

A Benchmark of Text Classification in PyTorch

Word Embedding + LSTM + FC

text_recognition_toolbox: The reimplementation of a series of classical scene text recognition papers with Pytorch in a uniform way.

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

A new fork base on tess-two and Tesseract 4.0.0

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

Распознавание речи русского языка используя Tensorflow, обучаясь на базе Voxforge

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

ConText v4: Neural networks for text categorization

A bidirectional LSTM with attention for multiclass/multilabel text classification.

Speech emotion recognition implemented in Keras (LSTM, CNN, SVM, MLP) | 语音情感识别

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

A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.

A wrapper to work with Tesseract OCR inside PHP.

Bindings to Tesseract OCR engine for R

Receipt scanner extracts information from your PDF or image receipts - built in NodeJS

Anomaly detection for temporal data using LSTMs

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.

HDLTex: Hierarchical Deep Learning for Text Classification

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

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

A pure pytorch implemented ocr project including text detection and recognition

Java interface for fastText

PaddlePaddle to ONNX model converter

A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading

🔥🌟《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!

Use caffe to train your own data in just one click

验证码识别

The Best Image OCR SDK For BAT

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

A cute multi-layer LSTM that can perform like a human 🎶

Attention-based multimodal fusion for sentiment analysis

State of the Art Natural Language Processing

lidc nodule detection with CNN and LSTM network

A Swift wrapper around Tesseract for use in iOS, macOS, and Linux applications

attention-based LSTM/Dense implemented by Keras

Implementing nlp papers relevant to classification with PyTorch, gluonnlp