looqs
docquery
looqs | docquery | |
---|---|---|
5 | 4 | |
20 | 1,645 | |
- | 0.5% | |
5.2 | 0.0 | |
about 1 year ago | about 1 year ago | |
C++ | Python | |
GNU General Public License v3.0 or later | MIT License |
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looqs
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Pdfgrep – a commandline utility to search text in PDF files
I am working on looqs, it can do that (and also will render the page immediatly): https://github.com/quitesimpleorg/looqs
- looqs: Desktop file search with previews - Searches your documents and renders the pages with results, highlights search terms
- looqs - FTS desktop file search with previews for results
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looqs - Open source FTS tool - with preview functionality for PDF
Screenshots, Sourcecode, Binaries: https://github.com/quitesimpleorg/looqs
- Show HN: looqs – FTS desktop file search with previews
docquery
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Understanding HTML with Large Language Models
There is a visual demo here: https://sites.google.com/view/llm4html/home.
This work is very exciting for a few reasons:
* HTML is an incredibly rich source of visually structured information, with a semi-structured representation. This is as opposed to PDFs, which are usually fed into models with a "flat" representation (words + bounding boxes). Intuitively, this offers the model a more direct way to learn about nested structure, over an almost unlimited source of unsupervised pre-training data.
* Many projects (e.g. Pix2Struct https://arxiv.org/pdf/2210.03347.pdf, also from Google) operate on pixels, which are expensive (both to render and process in the transformer). Operating on HTML directly means smaller, faster, more efficient models.
* (If open sourced) it will be the first (AFAIK) open foundation model for the RPA/automation space (there are several closed projects). They claim they plan to open source the dataset at least, which is very exciting.
I'm particularly excited to extend this and similar (https://arxiv.org/abs/2110.08518) for HTML question answering and web scraping.
Disclaimer: I'm the CEO of Impira, which creates OSS (https://github.com/impira/docquery) and proprietary (http://impira.com/) tools for analyzing business documents. I am not affiliated with this project.
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Pdfgrep – a commandline utility to search text in PDF files
DocQuery (https://github.com/impira/docquery), a project I work on, allows you to do something similar, but search over semantic information in the PDF files (using a large language model that is pre-trained to query business documents).
For example:
$ docquery scan "What is the due date?" /my/invoices/
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This Week In Python
docquery – An easy way to extract information from documents
- DocQuery: Document Query Engine Powered by Natural Language Processing
What are some alternatives?
wif500 - Try to find the WIF key and get a donation 200 btc
pdfgrep
fccf - fccf: A command-line tool that quickly searches through C/C++ source code in a directory based on a search string and prints relevant code snippets that match the query.
pdf-keywords-extractor
natbot - Drive a browser with GPT-3
MuseScore - MuseScore is an open source and free music notation software. For support, contribution, bug reports, visit MuseScore.org. Fork and make pull requests!
django-htmx-patterns - Pattern repository for Django and htmx with full example code
nodegui - A library for building cross-platform native desktop applications with Node.js and CSS 🚀. React NodeGui : https://react.nodegui.org and Vue NodeGui: https://vue.nodegui.org
django-functest - Helpers for creating high-level functional tests in Django, with a unified API for WebTest and Selenium tests.
flameshot - Powerful yet simple to use screenshot software :desktop_computer: :camera_flash: [Moved to: https://github.com/flameshot-org/flameshot]
pdfgrep - PDFGrep is a GNU/Emacs module providing grep comparable facilities but for PDF files