Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
docquery
-
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.
-
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/
-
This Week In Python
docquery – An easy way to extract information from documents
- DocQuery: Document Query Engine Powered by Natural Language Processing
pdfgrep
-
Would you prefer a hard copy of a reference manual over a PDF?
Have you seen https://gitlab.com/pdfgrep/pdfgrep ?
-
Pdfgrep – a commandline utility to search text in PDF files
Looking at the list of dependencies, it seems like they use poppler-cpp to render the PDFs.
https://gitlab.com/pdfgrep/pdfgrep#dependencies
-
Can Okular display current match and total matches in PDF find
I don’t know for sure but I believe not. If you’re not searching too often and/or would like to be able to search using regex as well pdfgrep might be a nice option for you.
What are some alternatives?
pdf-keywords-extractor
ripgrep-all - rga: ripgrep, but also search in PDFs, E-Books, Office documents, zip, tar.gz, etc.
natbot - Drive a browser with GPT-3
django-htmx-patterns - Pattern repository for Django and htmx with full example code
django-functest - Helpers for creating high-level functional tests in Django, with a unified API for WebTest and Selenium tests.
pdfgrep - PDFGrep is a GNU/Emacs module providing grep comparable facilities but for PDF files
deptry - Find unused, missing and transitive dependencies in a Python project.
looqs - FTS desktop file search with previews
sqlparse - A non-validating SQL parser module for Python