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ca-covid-analysis

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'

covid19-modeling

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.

gluonts-forecasting-applications

google-image-scraper

python Google/Bing image scraper

google-the-gatekeeper

Replication/Extra Appendix for "Google the Gatekeeper: How Search Components Affect Clicks and Attention," ICWSM 2023

hts-constrained-embeddings

Replication material for "Forecasting Hierarchical Time Series with a Regularized Embedding Space," KDD MileTS 2020

jlgleason.github.io

A beautiful, simple, clean, and responsive Jekyll theme for academics

ml-data-parameters

navigational-ads

Partial replication code/data for "Search Engine Revenue from Navigational and Brand Advertising" at ICWSM 2024.

searchparser

crawl and parse Bing/DuckDuckGo SERPs