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arabicmmlu

artist-identification-cnn

This project tackles the issue of artist identification from paintings. The aim is to accurately identify the artist of a painting using transfer learning by training different Convolutional Neural Networks (CNNs) with varying Residual Networks (ResNet).

audio-data-pre-processing

biosbias

Code to reproduce data for Bias in Bios

dialex

DiaLex - A Benchmark for Evaluating Multidialectal Arabic Word Embeddings

donut

Official Implementation of OCR-free Document Understanding Transformer (Donut) and Synthetic Document Generator (SynthDoG), ECCV 2022

gender-bias-datasets-lexicons

Language has a profound impact on our thoughts, perceptions, and conceptions of gender roles. Gender-inclusive language is, therefore, a key tool to promote social inclusion and contribute to achieving gender equality. Consequently, detecting and mitigating gender bias in texts is instrumental in halting its propagation and societal implications. However, there is a lack of gender bias datasets and lexicons for automating the detection of gender bias using supervised and unsupervised machine learning (ML) and natural language processing (NLP) techniques. Therefore, the main contribution of this work is to publicly provide labeled datasets and exhaustive lexicons by collecting, annotating, and augmenting relevant sentences to facilitate the detection of gender bias in English text. Towards this end, we present an updated version of our previously proposed taxonomy by re-formalizing its structure, adding a new bias type, and mapping each bias subtype to an appropriate detection methodology. The released datasets and lexicons span multiple bias subtypes including: Generic He, Generic She, Explicit Marking of Sex, and Gendered Neologisms. We leveraged the use of word embedding models to further augment the collected lexicons. The underlying motivation of our work is to enable the technical community to combat gender bias in text and halt its propagation using ML and NLP techniques.

gender_generalization

Gender Generalization Bias

google-search-scrapper

image-segmentation

Segmentation algorithm that uses Google's Tesseract 4.0 OCR engine to segment an image into its contained areas, paragraphs, lines, or words.

interspeech-2019

Interspeech 2019 experiments

multiprocessing-tesseract-4.0

In an effort to decrease the execution time of the OCR process, a multi-processing script was created using Python's multi-processing module.

nougat

Implementation of Nougat Neural Optical Understanding for Academic Documents

pychatgpt

⚡️ Python client for the unofficial ChatGPT API with auto token regeneration, conversation tracking, proxy support and more.

quora-scraper

Scrape data from Quora website: questions related to certain topics, answers given on certain questions and users profile data

sec-web-scraper-13f

Python Web scraper for parsing 13F filings (mutual fund holdings) from SEC website

spark-cassandra-connector

Spark Cassandra Connector

team-slot

Web application for organizing team meetings through multi-user calendar overlap and scheduling links. The goals was to produce a visually appealing web application that would revive human connection through efficiently generated team or individual meetings.

tesseract

Tesseract Open Source OCR Engine (main repository)