leosonh Goto Github PK

2024-openai-gpt-hiring-racial-discrimination

Data and materials to reproduce Bloomberg's investigation into racial and gender bias in OpenAI's GPT

advanced-python-exercises

aequitas

Bias and Fairness Audit Toolkit

azure-test

Test code for Microsoft Azure

blurryfaces

A tool to blur faces or other regions in images and videos 🤡🔍

bongocat-osu

An osu! Bongo Cat overlay

content-analysis

coursera_capstone

IBM Data Science Course Capstone Project Repository

creating-maps-in-r

Introductory tutorial on graphical display of geographical information in R.

cv-lecture-quizzes-python

Python version of GT/Udacity Introduction to Computer Vision quizzes

dataset-examples

Samples for users of the Yelp Academic Dataset

digs

Content and code written for DIGS 30003, Data Management for Linguistic, Cultural and Historical Research at the University of Chicago.

dragnet

Just the facts -- web page content extraction

folium-primer

Examples of working with Folium, a Python package for creating geospatial visualizations

gpt-llm-trainer

hash-training

Training session for Urban Labs on using hashing to anonymize datasets

image-to-ascii

:floppy_disk: A Node.js module that converts images to ASCII art.

indeedscrapperlatest

Indeed Job Scraper for multiple cities and job roles.

intro_to_r_for_medical_data_rmed2021

jsasound

leosonh.github.io

Main Github Page

lshhdc

LSH based high dimensional clustering for sets and points

macs30200proj

MACS 30200 (Perspectives in Computational Research) work repository

mandelbrot-viz

Rendering the Mandelbrot Set in Javascript

mathcamp

mrjob_dataproc

Experiments with MapReduce (mrjob) and Google Dataproc

newspaper

News, full-text, and article metadata extraction in Python 3. Advanced docs:

persp-analysis

Course materials for MACS 30000 (Perspectives on Computational Analysis)

persp-model_w18

Course site for MACS 30100 (Winter 2018) - Perspectives on Computational Modeling

persp-research_spr18

Course site for MACS 30200 (Spring 2018) - Perspectives on Computational Research