InvoiceNet VS GLOM-TensorFlow

Compare InvoiceNet vs GLOM-TensorFlow and see what are their differences.

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InvoiceNet GLOM-TensorFlow
4 4
2,389 36
- -
3.9 0.0
about 2 months ago about 3 years ago
Python Python
MIT License Apache License 2.0
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.

InvoiceNet

Posts with mentions or reviews of InvoiceNet. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-06.

GLOM-TensorFlow

Posts with mentions or reviews of GLOM-TensorFlow. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing InvoiceNet and GLOM-TensorFlow you can also consider the following projects:

pytorch2keras - PyTorch to Keras model convertor

image-super-resolution - 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

awesome-document-understanding - A curated list of resources for Document Understanding (DU) topic

efficientnet-lite-keras - Keras reimplementation of EfficientNet Lite.

Mask-RCNN-TF2 - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.0

image-quality-assessment - Convolutional Neural Networks to predict the aesthetic and technical quality of images.

ripgrep-all - rga: ripgrep, but also search in PDFs, E-Books, Office documents, zip, tar.gz, etc.

wtte-rnn - WTTE-RNN a framework for churn and time to event prediction

OCRmyPDF - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched

cnn-raccoon - Create interactive dashboards for your Convolutional Neural Networks with a single line of code!

coral-ordinal - Tensorflow Keras implementation of ordinal regression using consistent rank logits (CORAL) by Cao et al. (2019)

ydata-synthetic - Synthetic data generators for tabular and time-series data