InvoiceNet
awesome-document-understanding
Our great sponsors
| InvoiceNet | awesome-document-understanding | |
|---|---|---|
| 4 | 4 | |
| 2,389 | 1,115 | |
| - | - | |
| 3.9 | 4.5 | |
| about 2 months ago | 11 months ago | |
| Python | ||
| MIT License | - |
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.
InvoiceNet
-
How would you annotate resumes for object detection?
You can also possibly look at invoice extraction tools such as https://github.com/naiveHobo/InvoiceNet. They solve a similar issue and are researched fairly well, since there is a big market for that.
- Pdfsandwich
-
Extract informations from invoices with machine learning
Also, I would suggest you to use this codebase: https://github.com/naiveHobo/InvoiceNet
-
P Information Extraction From A Document
You can check out this repository. It contains an implementation of some recent research in deep learning for information extraction on invoices. https://github.com/naiveHobo/InvoiceNet
awesome-document-understanding
-
[R] Are there any open-source implementations of Document Understanding pipelines?
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
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
Check out this repository for inspiration: https://github.com/tstanislawek/awesome-document-understanding
-
[P] Curated List of Document Understanding (DU) Papers & Resources.
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?
GLOM-TensorFlow - An attempt at the implementation of GLOM, Geoffrey Hinton's paper for emergent part-whole hierarchies from data
unstructured - Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
pytorch2keras - PyTorch to Keras model convertor
Awesome-pytorch-list - A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Mask-RCNN-TF2 - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.0
awesome-ocr
ripgrep-all - rga: ripgrep, but also search in PDFs, E-Books, Office documents, zip, tar.gz, etc.
awesome-document-understandi
OCRmyPDF - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched
awesome-huggingface - 🤗 A list of wonderful open-source projects & applications integrated with Hugging Face libraries.
coral-ordinal - Tensorflow Keras implementation of ordinal regression using consistent rank logits (CORAL) by Cao et al. (2019)
tocPDF - Generates bookmarks from the table of contents already available at the beginning of pdf files.