Explore and implement powerful AI and Machine Learning solutions using Google Cloud Platform (GCP).
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Updated
Nov 16, 2024 - Jupyter Notebook
Explore and implement powerful AI and Machine Learning solutions using Google Cloud Platform (GCP).
AI & Data, Google Cloud Skills Boost
Create an Identity Auto-Filler API with Google Cloud Document AI
📄 Anonymize and redact uploaded text document files.
Custom data extractors that use Google Cloud's Document AI
Transcription project consisting of Python scripting and usage of ML text extraction models.
SamKenX applications and Document AI, the end-to-end document processing platform on Cloudstorage warehouse.
Extracting Data from Document PDF and Converting to EDI211 Files Using GCP and Google Document AI
This Flask application Google Cloud Document AI to extract name, IPK (GPA), university details, etc.
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
Exploring LayoutLM for Smart OCR Capabilities
FastAPI application for document classification using a multimodal LayoutLM model, designed to classify PDF documents into RVL-DCIP categories.
Spacy for Key:Value pairs
A hands-on CLI tool sample showcasing the integration of Dart with Google Cloud's DocumentAI.
OCR Runner - Command Line Application for processing image files using Google Cloud Vision API and Google Cloud Document AI.
(WIP) ✨ A comprehensive resource for understanding the world of software used in the Document Understanding field. 🧙✨
[Paper] Code for the EMNLP2023 (Findings) paper "Global Structure Knowledge-Guided Relation Extraction Method for Visually-Rich Document"
[MM'2024] Official release of RFUND introduced in the MM'2024 paper "PEneo: Unifying Line Extraction, Line Grouping, and Entity Linking for End-to-end Document Pair Extraction"
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