TableNet-pytorch and pyramidtabnet
These are competitors—both are independent deep learning architectures (TableNet and PyramidTabNet) designed to solve the same table detection and recognition problem from document images, and a user would select one based on performance characteristics rather than using them together.
Maintenance
0/25
Adoption
8/25
Maturity
16/25
Community
20/25
Maintenance
0/25
Adoption
7/25
Maturity
9/25
Community
7/25
Stars: 66
Forks: 24
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 28
Forks: 2
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
Stale 6m
No Package
No Dependents
Stale 6m
No Package
No Dependents
About TableNet-pytorch
asagar60/TableNet-pytorch
Pytorch Implementation of TableNet
About pyramidtabnet
muhd-umer/pyramidtabnet
Official PyTorch implementation of PyramidTabNet: Transformer-based Table Recognition in Image-based Documents
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