Table recognition inside douments using neural networks
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Unofficial implementation of "TableNet: Deep Learning model for end-to-end Table detection and Tabular data extraction from Scanned Document Images"
Table Transformer (TATR) is a deep learning model for extracting tables from unstructured documents (PDFs and images). This is also the official repository for the PubTables-1M dataset and GriTS evaluation metric.
TableBank: A Benchmark Dataset for Table Detection and Recognition
NeurIPS'24 Workshop - UniTable: Towards a Unified Table Foundation Model
Tensorflow-based CNN+LSTM trained with CTC-loss for OCR
Convolutional Recurrent Neural Network(CRNN) for End-to-End Text Recognition - TensorFlow 2
