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saurabh ghosh's Projects

applied-ml icon applied-ml

πŸ“š Papers & tech blogs by companies sharing their work on data science & machine learning in production.

co-learning-lounge icon co-learning-lounge

Welcome to the one point community-driven encyclopedia for anything in technology.

hackerrankpractice icon hackerrankpractice

170+ solutions to Hackerrank.com practice problems using Python 3, Π‘++ and Oracle SQL

meshrcnn icon meshrcnn

code for Mesh R-CNN, an academic publication, presented at ICCV 2019

notes icon notes

Notes On Using Data Science & Artificial Intelligence To Fight For Something That Matters.

ocr-identity-cards icon ocr-identity-cards

To extract details from Indian National Identification Cards such as PAN (completed) & Aadhar, Passport, Driving License (WIP) in a structured format

ocr-invoice icon ocr-invoice

a console application that would run on Windows server to scan user’s Bill and Receipts, which are either captured by camera or in form of an electronic file like pdf etc. 1. All the invoices/receipts will be uploaded on server in a folder 2. The uploaded invoices/receipts will be scanned by OCR app and extract following information from the file and put them in database table - Vendor/Party Name - Invoice date - Tax amount - Total amount - Line items(Item Name, Item Qty, Item rate, Item Tax & Item Amount) 3. The processing of OCR should be done with 90% of accuracy 4. Application designed be able to handle the noise & quality of the uploaded invoice images.

pan_ocr icon pan_ocr

Building OCR using YOLO and Tesseract

pytorch3d icon pytorch3d

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

signature_extractor icon signature_extractor

A super lightweight image procesing algorithm for extraction of overlapped handwritten signatures on scanned documents using OpenCV and scikit-image.

sincnet icon sincnet

SincNet is a neural architecture for efficiently processing raw audio samples.

zero-to-hero-in-nlp icon zero-to-hero-in-nlp

This repository contains A-Z techniques for Natural Language Processing to get started in NLP.

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