GLOM-TensorFlow
InvoiceNet
Our great sponsors
| GLOM-TensorFlow | InvoiceNet | |
|---|---|---|
| 4 | 4 | |
| 36 | 2,389 | |
| - | - | |
| 0.0 | 3.9 | |
| about 3 years ago | about 2 months ago | |
| Python | Python | |
| Apache License 2.0 | 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.
GLOM-TensorFlow
- Implementing Geoffrey Hinton's latest paper
- Implementing Geoffrey Hinton's latest idea paper
-
Implementing part-whole hierarchies in neural networks
I am glad to today present my attempt to implement Geoffery Hinton's latest idea paper about representing part-whole hierarchies in neural networks. Also doing ML more the way the human brain does it! https://github.com/Rishit-dagli/GLOM-TensorFlow
- Implementing part-whole hierarchies in Neural Nets
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
What are some alternatives?
image-super-resolution - 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
pytorch2keras - PyTorch to Keras model convertor
efficientnet-lite-keras - Keras reimplementation of EfficientNet Lite.
awesome-document-understanding - A curated list of resources for Document Understanding (DU) topic
image-quality-assessment - Convolutional Neural Networks to predict the aesthetic and technical quality of images.
Mask-RCNN-TF2 - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.0
wtte-rnn - WTTE-RNN a framework for churn and time to event prediction
ripgrep-all - rga: ripgrep, but also search in PDFs, E-Books, Office documents, zip, tar.gz, etc.
cnn-raccoon - Create interactive dashboards for your Convolutional Neural Networks with a single line of code!
OCRmyPDF - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched
head-pose-estimation - Realtime human head pose estimation with ONNXRuntime and OpenCV.
coral-ordinal - Tensorflow Keras implementation of ordinal regression using consistent rank logits (CORAL) by Cao et al. (2019)