Stars
[ICLR 2024] Efficient Streaming Language Models with Attention Sinks
Doc2Graph transforms documents into graphs and exploit a GNN to solve several tasks.
TensorFlow implementation of Neural Variational Inference for Text Processing
Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks
Implementation of Graph Auto-Encoders in TensorFlow
A Java library for generating String from a regular expression.
NeuSpell: A Neural Spelling Correction Toolkit
A very simple framework for state-of-the-art Natural Language Processing (NLP)
A collection of corpora for named entity recognition (NER) and entity recognition tasks. These annotated datasets cover a variety of languages, domains and entity types.
This repository contains the code and implementation details of the CascadeTabNet paper "CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents"
Implementation of DocFormer: End-to-End Transformer for Document Understanding, a multi-modal transformer based architecture for the task of Visual Document Understanding (VDU)
A pytorch implement of scalable neural netowrks.
Google Research
Joint Extraction of Entities and Relations Based on cnn+rnn
Pytorch implementation of Paper by Google Research - Representation Learning for Information Extraction from Form-like Documents.
Deep neural network to extract intelligent information from invoice documents.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Multi-Content GAN for Few-Shot Font Style Transfer at CVPR 2018
DIAR software for synthetic document image and groundtruth generation, with various degradation models for data augmentation
Document Layout Analysis resources repos for development with PdfPig.
ICDAR 2019 Robust Reading Challenge on Scanned Receipts OCR and Information Extraction
State-of-the-Art Text Embeddings
PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882
Keras implementations of Generative Adversarial Networks.