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aditya's Projects

log3c icon log3c

Log-based Impactful Problem Identification using Machine Learning [FSE'18]

logadvisor icon logadvisor

Learning to log: A framework for determining optimal logging points [ICSE'15, ICSE'14]

loggingdescriptions icon loggingdescriptions

Characterizing the Natural Language Descriptions in Software Logging Statements [ASE'18]

loglizer icon loglizer

A log analysis toolkit for automated anomaly detection [ISSRE'16]

logparser icon logparser

A toolkit for automated log parsing [ICSE'19, TDSC'18, DSN'16]

logzip icon logzip

An optimized log compression tool that surpasses gzip by 2x compression ratio

lstm-human-activity-recognition icon lstm-human-activity-recognition

Human activity recognition using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING).

mixare icon mixare

mixare (mix Augmented Reality Engine) is a free open source augmented reality browser, which is published under the GPLv3.

myalgorithm icon myalgorithm

Contains folders of my Implementation of Algorithms for daily problems

ocr-convert-image-to-text icon ocr-convert-image-to-text

:clipboard: Python wrapper to grab text from all the images in a directory and save a subdirectory as text files using Tesseract Engine

ocrmypdf icon ocrmypdf

OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched

ocrmypdf-1 icon ocrmypdf-1

OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched

ocropus3 icon ocropus3

Repository collecting all the submodules for the new PyTorch-based OCR System.

ocropy icon ocropy

Python-based tools for document analysis and OCR

ocropy2 icon ocropy2

Next generation OCR engine based on LSTMs.

opencl-image-filter icon opencl-image-filter

This repository is mainly about how to filter an image in GPU platform using OpenCL, further more, a comparison with CPU platform and OpenCV filter2D is studied as well.

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