Jeffrey Gleason's repositories
hts-constrained-embeddings
Replication material for "Forecasting Hierarchical Time Series with a Regularized Embedding Space," KDD MileTS 2020
SearchParser
crawl and parse Bing/DuckDuckGo SERPs
google-image-scraper
python Google/Bing image scraper
causalML
The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML
compas-analysis
Data and analysis for 'Machine Bias'
deep-learning-time-series
List of papers, code and experiments using deep learning for time series forecasting
deepar
Tensorflow 2 implementation of Amazon DeepAR
dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
google-the-gatekeeper
Replication/Extra Appendix for "Google the Gatekeeper: How Search Components Affect Clicks and Attention," ICWSM 2023
navigational-ads
Partial replication code/data for "Search Engine Revenue from Navigational and Brand Advertising" at ICWSM 2024.
jlgleason.github.io
A beautiful, simple, clean, and responsive Jekyll theme for academics