dadasmash
I am a Lecturer in Data Analytics at the State University of New York, Geneseo. I hold a PhD in Economics from the University of California, Riverside.
SUNY GeneseoNew York
dadasmash's Stars
unitedstates/congress
Public domain data collectors for the work of Congress, including legislation, amendments, and votes.
M00NSH0T/Hurricanes
Here's the code associated with my Machine Learning (ML) based hurricane forecasting system
RohanAlexander/telling_stories
Telling Stories with Data
iamadamdev/bypass-paywalls-chrome
Bypass Paywalls web browser extension for Chrome and Firefox.
matheusfacure/python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
RonSijm/ButtFish
Effortlessly transmitting Morse Code of chess moves to your butthole 💝
joolman/ECON-490-Fall-2020---ML-in-Econ-R
hollina/arph-did-example
cmu-delphi/delphi-epidata
An open API for epidemiological data.
codepo8/youtube-embed
An example how to embed YouTube videos in your GitHub Pages
digitalepidemiologylab/sent2vec
General purpose unsupervised sentence representations using Redis
digitalepidemiologylab/crowdbreaks-paper
Material related to paper "Crowdbreaks: Tracking Health Trends using Public Social Media Data and Crowdsourcing"
digitalepidemiologylab/experts-covid19-twitter
Data and materials for the paper "Experts and Authorities receive disproportionate attention on Twitter during the COVID-19 crisis"
digitalepidemiologylab/crowdbreaks
Crowdsourced tracking of health trends
digitalepidemiologylab/vaccine-sentiment
The code that accompanies the paper: Assessing Vaccination Sentiments with Online Social Media: Implications for Infectious Disease Dynamics and Control
google-research/bert
TensorFlow code and pre-trained models for BERT
tensorflow/models
Models and examples built with TensorFlow
angelinepro/album_discoverer
This repo contains code and slides relating to The Album Discoverer. For the app, navigate to https://album-discoverer.ue.r.appspot.com/home. To view a presentation of this work, see the youtube video here: https://youtu.be/iEzzIvTq3Eo.
angelinepro/pandemic_nlp
This repo contains code for a Natural Language Processing project to explore and understand differences in official communications between Governor Cuomo and Mayor de Blasio during the Covid-19 pandemic. Methods include web scraping, parts of speech analysis, topic modeling, and sentiment analysis.
nlp-grp/Aspect_Based_Sentiment_Analysis_COVID19
Code and Data for the paper "On the Use of Aspect-Based Sentiment Analysis of Twitter Data to Explore the Experiences of African Americans During COVID-19"
digitalepidemiologylab/covid-twitter-bert
Pretrained BERT model for analysing COVID-19 Twitter data
thepanacealab/covid19_twitter
Covid-19 Twitter dataset for non-commercial research use and pre-processing scripts - under active development
alexlitel/congresstweets
Datasets of the daily Twitter output of Congress.
gabrielpreda/reddit_extract_content
Extract content from a subreddit
gabrielpreda/covid-19-tweets
Covid-19 tweets
Linlin-Li-1/IBP4ILFM
Fast Implementation of Infinite Latent Feature Models and the Indian Buffet Process
sld42/Indian-Buffet-Process
Python code that demonstrates how data generated from an IBP changes as you vary the process hyperparameters
notnews/vandy_tv_news_abstracts
TV News Abstracts and Metadata from Vanderbilt TV News Archive
notnews/archive_news_cc
Closed Caption Transcripts of News Videos from archive.org 2014--2023
ml4econ/lecture-notes-2023