awesome-hungarian-nlp VS awesome-document-understanding

Compare awesome-hungarian-nlp vs awesome-document-understanding and see what are their differences.

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awesome-hungarian-nlp awesome-document-understanding
3 4
205 1,108
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3.2 4.5
6 months ago 11 months ago
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The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

awesome-hungarian-nlp

Posts with mentions or reviews of awesome-hungarian-nlp. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-24.

awesome-document-understanding

Posts with mentions or reviews of awesome-document-understanding. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-06.
  • [R] Are there any open-source implementations of Document Understanding pipelines?
    1 project | /r/MachineLearning | 4 Nov 2022
    I have worked on several Document Understanding (DU) projects for my company during the last year. We've mainly used UiPath and Google's DocumentAI.
  • Pdfsandwich
    6 projects | news.ycombinator.com | 6 Nov 2021
    While trying to find a specific project I recalled, I encountered this list of projects which might be of interest: https://github.com/tstanislawek/awesome-document-understandi...

    The project I had in mind was similar to this one but I can't remember the name currently: https://github.com/tabulapdf/tabula

    However, if you're looking for a ML-based, invoice-specific project looks like the other comment to your reply might be more useful.

  • Extract informations from invoices with machine learning
    2 projects | /r/deeplearning | 7 Apr 2021
    Check out this repository for inspiration: https://github.com/tstanislawek/awesome-document-understanding
  • [P] Curated List of Document Understanding (DU) Papers & Resources.
    1 project | /r/deeplearning | 7 Apr 2021
    In the last few years, I spent a lot of time working on automate business processes of big companies and seeing rising interest in DU topics (especially from Key Information Extraction field). Therefore, I create a list https://github.com/tstanislawek/awesome-document-understanding of resources to make easier to track all the papers out there which are relevant to this topic.

What are some alternatives?

When comparing awesome-hungarian-nlp and awesome-document-understanding you can also consider the following projects:

awesome-sentiment-analysis - Repository with all what is necessary for sentiment analysis and related areas

InvoiceNet - Deep neural network to extract intelligent information from invoice documents.

NLP-progress - Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

unstructured - Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.

spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python

Awesome-pytorch-list - A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

awesome-computational-neuroscience - A list of schools and researchers in computational neuroscience

awesome-ocr

sematle - NLU service that converts plain English to known and structured data.

awesome-document-understandi

contract-discovery - Data and additional information regarding the paper: Contract Discovery. Dataset and a Few-Shot Semantic Retrieval Challenge with Competitive Baselines (to appear in Findings of EMNLP).

awesome-huggingface - 🤗 A list of wonderful open-source projects & applications integrated with Hugging Face libraries.