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kieranjwood
This code accompanies the the paper Trading with the Momentum Transformer: An Intelligent and Interpretable Architecture (https://arxiv.org/pdf/2112.08534.pdf).
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Archivos entregados aquí desde el 14 de octubre de 2026. Una descarga por cuenta y Skill al día UTC. Excluye sitios externos, comandos copiados e instalaciones. Actualización en hasta 5 minutos.
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Explore the skillkieranjwood
This code accompanies the the paper Trading with the Momentum Transformer: An Intelligent and Interpretable Architecture (https://arxiv.org/pdf/2112.08534.pdf).
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Explore the skillSudhanshu1304
🔍 Table Extraction Tool: A powerful open-source solution combining OCR and computer vision for extracting structured tabular data from images. Ideal for LLM preprocessi…
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Post-process Amazon Textract results with Hugging Face transformer models for document understanding
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PyTorch code of my ICDAR 2021 paper Vision Transformer for Fast and Efficient Scene Text Recognition (ViTSTR)
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Powerful handwritten text recognition. A simple-to-use, unofficial implementation of the paper "TrOCR: Transformer-based Optical Character Recognition with Pre-trained M…
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implement CRNN in Keras with Spatial Transformer Network
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Explore the skillqpdf
qpdf: A content-preserving PDF document transformer
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Official Implementation of OCR-free Document Understanding Transformer (Donut) and Synthetic Document Generator (SynthDoG), ECCV 2022
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The official code for “DocTr: Document Image Transformer for Geometric Unwarping and Illumination Correction”, ACM MM, Oral Paper, 2021.