NeuralNetworks
InvoiceNet
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| NeuralNetworks | InvoiceNet | |
|---|---|---|
| 4 | 4 | |
| 65 | 2,389 | |
| - | - | |
| 0.0 | 3.9 | |
| over 1 year ago | about 2 months ago | |
| Python | Python | |
| MIT License | MIT License |
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NeuralNetworks
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I created a video about how you can train a neural network (in python) to learn complex image/video classification tasks (like in-game detection) using transfer learning! The GitHub repo is linked in the video description. Hope this is useful or helpful for some of you guys :-)
Here’s the GitHub link for anyone else like me who didn’t want to have to go to YouTube to get it.
- [P][Code Release] A neural network implementation to detect whether a given video clip is in-game or not using transfer learning (can be applied to all sorts of games)
- We created a neural network implementation to detect whether a given video clip is in-game or not using transfer learning (can be applied to all sorts of games)
- [Code Release] A neural network implementation to detect whether a given video clip is in-game or not using transfer learning (can be applied to all sorts of games)
InvoiceNet
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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
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Extract informations from invoices with machine learning
Also, I would suggest you to use this codebase: https://github.com/naiveHobo/InvoiceNet
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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
What are some alternatives?
coral-ordinal - Tensorflow Keras implementation of ordinal regression using consistent rank logits (CORAL) by Cao et al. (2019)
GLOM-TensorFlow - An attempt at the implementation of GLOM, Geoffrey Hinton's paper for emergent part-whole hierarchies from data
pytorch2keras - PyTorch to Keras model convertor
awesome-document-understanding - A curated list of resources for Document Understanding (DU) topic
Mask-RCNN-TF2 - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.0
ripgrep-all - rga: ripgrep, but also search in PDFs, E-Books, Office documents, zip, tar.gz, etc.
OCRmyPDF - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched
pycm - Multi-class confusion matrix library in Python
awesome-document-understandi
szabadfogasu-maszk - A face mask detection system using Tensorflow/Keras and OpenCV, for the "<19 Szabadfogású Számítógép" competition in 2020.
tabula - Tabula is a tool for liberating data tables trapped inside PDF files