prezgarfield

Pinned Repositories

datascraper2
Language:Python00
EmotionService
Web service extracting emotions from video
Language:Python00
FemethodsofTA
Language:Jupyter Notebook00
FeministTextAnalysis
Repository for DH72500
Language:Jupyter Notebook00

prezgarfield's Repositories

prezgarfield/datascraper2
Language:Python00
prezgarfield/EmotionService
Web service extracting emotions from video
Language:Python00
prezgarfield/FemethodsofTA
Language:Jupyter Notebook00
prezgarfield/FeministTextAnalysis
Repository for DH72500
Language:Jupyter Notebook00
prezgarfield/first_jekyll
prezgarfield/geoplay
playground for mapping texts
Language:Python
prezgarfield/gutenberg-poetry-corpus
A corpus of poetry from Project Gutenberg
prezgarfield/image_play
Language:Python
prezgarfield/prezrenpy
Language:Ren'Py
prezgarfield/prodigious-makers
test please do not use
Language:Jupyter Notebook
prezgarfield/recipes
Recipes for testing static site generation in git
Language:HTML
prezgarfield/software-design-lab
Software design lab at the Graduate center, Spring 2019
prezgarfield/taxphotosapp
Language:Python1
prezgarfield/tracery
Tracery: a story-grammar generation library for javascript
prezgarfield/trike-main
prezgarfield/trike_tech_approach
notes for project trike technical approach
prezgarfield/trikemain
prezgarfield/untitled1
Language:Python
prezgarfield/up_emotions_audio
This module aims to extract emotions from audio. The input argument is either an uploaded audio/video file to the server or a URL. The output is the predicted emotion in terms of Arousal and Valence within the JSON-LD format.
Language:Java
prezgarfield/word_adjacency
Language:Python