Python Document-categorization Resources

LinkBERT: A Knowledgeable Language Model Pretrained with Document Links This repo provides the model, code & data of our paper: LinkBERT: Pretraining

Multi-Type-TD-TSR Check it out on Source Code of our Paper: Multi-Type-TD-TSR Extracting Tables from Document Images using a Multi-stage Pipeline for

TSAR Source code for NAACL 2022 paper: A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction. 🔥 Introduction We focus on extra

Deep-Learning-for-Text-Document-Classification Text classification is one of the popular tasks in NLP that allows a program to classify free-text docu

BiDR Repo for WWW 2022 paper: Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval. Requirements torch==

Pgn2Latex (WIP) A simple script to make pdf from pgn files and studies. It's sti

ht-getter Searches a document for hash tags. Supports multiple natural languages. Works in various contexts. This package uses a non-regex approach an

The scanner takes a poorly scanned image, finds the corners of the document, applies the perspective transformation to get a top-down view of the document, sharpens the image, and applies an adaptive color threshold to clean up the image.

File-based TF-IDF Calculates keywords in a document, using a word corpus. Why? Because I found myself with hundreds of plain text files, with no way t

PUTO: PDF to Booklet converter Split given PDF document into 4 page groups and convert them to booklet format. It creates a PDF like shown below: Fir

Pytorch implementation for A Novel Plug-in Module for Fine-Grained Visual Classification. fine-grained visual classification task.

In this study, real world data is anonymized. The content is completely different, but the structure is the same. It was a script I prepared for the backend of a work using UiPath.

DocEnTR Description Pytorch implementation of the paper DocEnTr: An End-to-End Document Image Enhancement Transformer. This model is implemented on to

GPT-2 Catalan playground and scripts to train a GPT-2 model either from scrath or from another pretrained model.

DIVA-DAF Description A deep learning framework for historical document image analysis. How to run Install dependencies # clone project git clone https

DocEnTR Description Pytorch implementation of the paper DocEnTr: An End-to-End Document Image Enhancement Transformer. This model is implemented on to

documan_api A simple document management REST based API for collaboratively interacting with documents.

A novel dual model approach for categorization of unbalanced skin lesion image classes (Presented technical paper 📃)

Good news! Our new work exhibits state-of-the-art performances on DocUNet benchmark dataset: DocScanner: Robust Document Image Rectification with Prog

RedisJSON is a Redis module that implements ECMA-404 The JSON Data Interchange Standard as a native data type. It allows storing, updating and fetching JSON values from Redis keys (documents).

image manipulation detection task: -- tianchi function image segmentation salie

DockieDb A simple in-memory document database. Installation Build the Wheel Fork or clone this repository and run python setup.py bdist_wheel in the r

DeepKE is a knowledge extraction toolkit supporting low-resource and document-level scenarios for entity, relation and attribute extraction. We provide comprehensive documents, Google Colab tutorials, and online demo for beginners.

JEREX: "Joint Entity-Level Relation Extractor" PyTorch code for JEREX: "Joint Entity-Level Relation Extractor". For a description of the model and exp

Lbl2Vec Lbl2Vec is an algorithm for unsupervised document classification and unsupervised document retrieval. It automatically generates jointly embed

Shelf DB Introduction Shelf DB is a tiny document database for Python to stores documents or JSON-like data. Get it $ pip install shelfdb shelfquery S

Paragraph Aggregation Retrieval Model (PARM) for Dense Document-to-Document Retrieval This repository contains the code for the paper PARM: A Paragrap

Introduction This code is the implementation of the paper "Coherence-Based Distributed Document Representation Learning for Scientific Documents". If

EntityDocumentMaker Version 1.00 After importing the entity definition (Excel file), store the data in sqlite3. エンティティ定義（Excelファイル）をインポートした後、データをsqlit

pdfdoc-py Python utility library for compositing PDF documents with reportlab. Installation The pdfdoc-py package can be installed directly from the s

Paperless-ng Paperless (click me) is an application by Daniel Quinn and contributors that indexes your scanned documents and allows you to easily sear

esengine - The Elasticsearch Object Document Mapper esengine is an ODM (Object Document Mapper) it maps Python classes in to Elasticsearch index/doc_t

Essential Document Generator Dead Simple Document Generation Whether it's testing database performance or a new web interface, we've all needed a dead

reformed Document format conversion service based on Pandoc. Usage The API specification for the Reformed server is as follows: GET /api/v1/formats: L

lupin is a Python JSON object mapper lupin is meant to help in serializing python objects to JSON and unserializing JSON data to python objects. Insta

Hiring We are hiring at all levels (including FTE researchers and interns)! If you are interested in working with us on NLP and large-scale pre-traine

Longformer Longformer and LongformerEncoderDecoder (LED) are pretrained transformer models for long documents. ***** New December 1st, 2020: Longforme

Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning Tensorflow code and models for the paper: Large Scale Fine-Grained Categ

❤️ A Toolkit for Document-level Event Extraction with & without Triggers Hi, there 👋 . Thanks for your stay in this repo. This project aims at buildi

Sparse Structure Learning via Graph Neural Networks for inductive document classification Make graph dataset create co-occurrence graph for datasets.

Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker Source code for ACL-IJCNLP 2021 Long paper: Document-le

openapi-python-client Generate modern Python clients from OpenAPI 3.x documents. This generator does not support OpenAPI 2.x FKA Swagger. If you need

🦎 HighStr.nvim A NeoVim plugin for highlighting visual selections like in a normal document editor! Demo TL;DR HighStr.nvim is a NeoVim plugin writte

Bnagla hand written document digiiztion This repo addresses the problem of digiizing hand written documents in Bangla. Documents have definite fields

Class-Balanced Loss Based on Effective Number of Samples Tensorflow code for the paper: Class-Balanced Loss Based on Effective Number of Samples Yin C

ECIR Reproducibility Paper: Seed-driven Document Ranking for Systematic Reviews: A Reproducibility Study This code corresponds to the reproducibility

Hierarchical Attention Networks for Document Classification This is an implementation of the paper Hierarchical Attention Networks for Document Classi

This is the repository that provide tools to download data, reproduce the baseline results and evaluation. What can you achieve with this guide Based

Graph Neural Topic Model (GNTM) This is the pytorch implementation of the paper "Topic Modeling Revisited: A Document Graph-based Neural Network Persp

Dominate Dominate is a Python library for creating and manipulating HTML documents using an elegant DOM API. It allows you to write HTML pages in pure

A lightweight and fast-to-use Markdown document generator based on Python

MMDA - multimodal document analysis

PhD_document_for_navlab The project contains the relative software documents which I developped or used during my PhD period. It includes: FLVIS. A st

🦊 Rage 🦊 Rage is a tool written in Python3 allowing you to inject a Python3 complete Discord token grabber (Riot) script in a Microsoft Document usi

MDIExtractor Malicious Document IoC Extractor (MDIExtractor) is a collection of scripts that helps extracting IoCs from various maldoc families. Prere

LogiRE Learning Logic Rules for Document-Level Relation Extraction We propose to introduce logic rules to tackle the challenges of doc-level RE. Equip

Self-Supervised Document Similarity Ranking (SDR) via Contextualized Language Models and Hierarchical Inference This repo is the implementation for SD

Detectron2 trained on PubLayNet dataset This repo contains the training configurations, code and trained models trained on PubLayNet dataset using Det

AI-powered literature discovery and review engine for medical/scientific papers paperai is an AI-powered literature discovery and review engine for me

DocFormer - PyTorch Implementation of DocFormer: End-to-End Transformer for Document Understanding, a multi-modal transformer based architecture for t

TEDSummary is a speech summary corpus. It includes TED talks subtitle (Document), Title-Detail (Summary), speaker name (Meta info), MP4 URL

Text Summarizer This project uses word frequency and Term Frequency-Inverse Document Frequency to summarize a text. Team Members This mini-project was

Differentiable SVD Introduction This repository contains: The official Pytorch implementation of ICCV21 paper Why Approximate Matrix Square Root Outpe

Document Blur Detection For general blurred image, using the variance of Laplacian operator is a good solution. But as for the blur detection of docum

ocropy OCRopus is a collection of document analysis programs, not a turn-key OCR system. In order to apply it to your documents, you may need to do so

Youtube Comments Categorization This repo is for categorizing comments on a youtube video into different categories. negative (grievances, complaints,

DcoumentScanner A document scanner application for laptops/desktops developed using python, Tkinter and OpenCV. Directly install the .exe file to inst

Unsupervised Document Expansion for Information Retrieval with Stochastic Text Generation Official Code Repository for the paper "Unsupervised Documen

Auto-Research A no-code utility to generate a detailed well-cited survey with topic clustered sections (draft paper format) and other interesting arti

PDF Table Extractor Table automatically extraction from PDF Document Our Icon 📌 Name : PDF Table Extractor 📌 Authors : Minku Koo Jiyong Park 📌 Deve

Key Information Extraction from Scanned Invoices Key information extraction from invoice document with Graph Convolution Network Related blog post fro

Code for the paper "PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks" (ICPR 2020)

PRIMER The official code for PRIMER: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization. PRIMER is a pre-trained model for mu

PRIMER The official code for PRIMER: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization. PRIMER is a pre-trained model for mu

Introduction One implementation of the paper "DMRST: A Joint Framework for Document-Level Multilingual RST Discourse Segmentation and Parsing". Users

⚡ Handwriting Transformers [PDF] Ankan Kumar Bhunia, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan & Mubarak Shah Abstract: We

Web Scraping, Document Deduplication & GPT-2 Fine-tuning with a newly created scam dataset.

A Comprehensive Comparison of Word Embeddings in Event & Entity Coreference Resolution. Introduction This repo contains experimental code derived from

Intro Barcodes are being used in many documents or forms to enable machine reading capabilities and reduce manual processing effort. Simple 1D barcode

Categorize and Uncategorize Your Folders Table of Content TL;DR just take me to how to install. What are Extension Categorizer and Folder Dumper Insta

DRF Docs Document Web APIs made with Django Rest Framework. View Demo Contributors Wanted: Do you like this project? Using it? Let's make it better! S

Mayan EDMS is a document management system. Its main purpose is to store, introspect, and categorize files, with a strong emphasis on preserving the contextual and business information of documents. It can also OCR, preview, label, sign, send, and receive thoses files.

docTR by Mindee (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.

The project is investigating methods to extract human-marked data from document forms such as surveys and tests. They can read questions, multiple-choice exam papers, and grade.

CDLA: A Chinese document layout analysis (CDLA) dataset 介绍 CDLA是一个中文文档版面分析数据集，面向中文文献类（论文）场景。包含以下10个label： 正文 标题 图片 图片标题 表格 表格标题 页眉 页脚 注释 公式 Text Title

Counterfactual Attention Learning Created by Yongming Rao*, Guangyi Chen*, Jiwen Lu, Jie Zhou This repository contains PyTorch implementation for ICCV

pretrain4ir_tutorial NLPIR tutorial: pretrain for IR. pre-train on raw textual corpus, fine-tune on MS MARCO Document Ranking 用作NLPIR实验室, Pre-training

Counterfactual Attention Learning Created by Yongming Rao*, Guangyi Chen*, Jiwen Lu, Jie Zhou This repository contains PyTorch implementation for ICCV

Pre-trained (foundation) models across tasks (understanding, generation and translation), languages (100+ languages), and modalities (language, image, audio, vision + language, audio + language, etc.)

BanglaBERT This repository contains the official release of the model "BanglaBERT" and associated downstream finetuning code and datasets introduced i

PAUSE: Positive and Annealed Unlabeled Sentence Embedding Sentence embedding refers to a set of effective and versatile techniques for converting raw

Doc Transformers Document processing using transformers. This is still in developmental phase, currently supports only extraction of form data i.e (ke

txtai executes machine-learning workflows to transform data and build AI-powered semantic search applications.

The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification Code release for The Devil is in the Channels: Mutual-Channel

Genalog is an open source, cross-platform python package allowing generation of synthetic document images with custom degradations and text alignment capabilities.

Dewarping Document Image By Displacement Flow Estimation with Fully Convolutional Network

Hierarchical Metadata-Aware Document Categorization under Weak Supervision This project provides a weakly supervised framework for hierarchical metada

organize - The file management automation tool

command line document download made easy Highlights list available documents in json format or download them filter documents using string matching re

Dewarping Document Image By Displacement Flow Estimation with Fully Convolutional Network