hkcaddes

S2ML-Generators

Multiple notebooks which allow the use of various machine learning methods to generate or modify multimedia content

zk

Zettelkasten on the command-line 📚 🔍

automating-management

Scripts to automate some of my management tasks

jBox

jBox is a jQuery plugin that makes it easy to create customizable tooltips, modal windows, image galleries and more.

Lit2Vec

Representing Books as vectors using the Word2Vec algorithm

Research2Vec

Representing research papers as vectors / latent representations.

flair

A very simple framework for state-of-the-art Natural Language Processing (NLP)

Google-Play-Store-Review-Extractor

☎️ Extract/Scrape Google Play Store Reviews of any Android Application ☎️

ankura

Anchor-based topic modeling

atap

Code for Applied Text Analysis with Python

gum

Repository for the Georgetown University Multilayer Corpus (GUM)

baleen

Entity Extraction Text Processor

InstaPy

📷 Instagram Bot - Tool for automated Instagram interactions

yelpapi

yelpapi is a pure Python implementation of the Yelp Fusion API (aka Yelp v3 API).

text_mining_resources

Resources for learning about Text Mining and Natural Language Processing

facebook-sdk

Python SDK for Facebook's Graph API

flask-social

OAuth Provider Integration for Flask-Security

data

Data and code behind the articles and graphics at FiveThirtyEight

awesome-css-frameworks

List of awesome CSS frameworks in 2024

plotly-dash-example

A Plotly Dash app using data from some research we conducted into other brands' influencer marketing campaigns

instagram-analyzer

Python Scraper For Instagram's API

prj02_webscrapping

Class project in NYCDSA: scraped reviews of Broadway shows from TripAdvisor and analyze the data

bootcamp004_project

Bootcamp 4 Student Project Presentation

ticketpy

Python wrapper/SDK for the Ticketmaster Discovery API

hadoop-tutorial

US_County_Level_Election_Results_08-20

United States General Election Presidential Results by County from 2008 to 2016

geopython

ucgis_workshop_2016

These are notebooks for the PySAL workshop at UGCIS 2016

ML-From-Scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

kaggle-api

Official Kaggle API