Pinned Repositories
auto_empirical
Clustering-Democrats
An analysis of how people talk about democrats, using Normalized Google Distance. Which democrats are talked about together? Who is talked about with other candidates? Who is talked about mainly on their own?
Coffee-Analysis
Analyzing coffee data to find (1) the most important coffee quality and (2) which countries have the special sauce
Concreteness
A lexicon of 40,000 English words tagged for concreteness. Will use for future data science projects
emotapal
A library to pair emotions with colors
Emotion-Colors
The supporting data for my EmotaPal library.
journal-manager
A short bash script for managing daily journals on your local machine.
Normalized-Google-Distance
A python script to calculate normalized google distance (NGD). This is a semantic similarity metric based on Google search results
plurals
Plurals: A System for Guiding LLMs Via Simulated Social Ensembles
Reddit-Relationships-Analysis
What are the topics of r/relationships? What are the topics associated with various romantic partners?
josh-ashkinaze's Repositories
josh-ashkinaze/Normalized-Google-Distance
A python script to calculate normalized google distance (NGD). This is a semantic similarity metric based on Google search results
josh-ashkinaze/plurals
Plurals: A System for Guiding LLMs Via Simulated Social Ensembles
josh-ashkinaze/Concreteness
A lexicon of 40,000 English words tagged for concreteness. Will use for future data science projects
josh-ashkinaze/emotapal
A library to pair emotions with colors
josh-ashkinaze/Emotion-Colors
The supporting data for my EmotaPal library.
josh-ashkinaze/Reddit-Relationships-Analysis
What are the topics of r/relationships? What are the topics associated with various romantic partners?
josh-ashkinaze/Clustering-Democrats
An analysis of how people talk about democrats, using Normalized Google Distance. Which democrats are talked about together? Who is talked about with other candidates? Who is talked about mainly on their own?
josh-ashkinaze/Coffee-Analysis
Analyzing coffee data to find (1) the most important coffee quality and (2) which countries have the special sauce
josh-ashkinaze/EC607S21
Causal-inference oriented doctoral econometrics course at UO
josh-ashkinaze/journal-manager
A short bash script for managing daily journals on your local machine.
josh-ashkinaze/Fonts
josh-ashkinaze/generative-ai
Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
josh-ashkinaze/Google-profanity-words
Full List of Bad Words and Top Swear Words Banned by Google as they closed it
josh-ashkinaze/googlesearch
A Python library for scraping the Google search engine.
josh-ashkinaze/matplotlib
matplotlib: plotting with Python
josh-ashkinaze/name-analysis
An analysis of baby names, conformity, and how the economy might affect the names we give
josh-ashkinaze/nkmodel
NK model for rugged landscapes
josh-ashkinaze/nyt-comments
josh-ashkinaze/pendulum
Python datetimes made easy
josh-ashkinaze/railwaytest
josh-ashkinaze/sim_ensembles
josh-ashkinaze/sitetest
josh-ashkinaze/twitter_ideology
Estimating Ideological Positions with Twitter Data