TechEcon: A Netflix-like website and digital library of resources for Econ PhD students, early-career economists and data scientists working in US tech industry. This aggregator site contains: a) Econometrics, Statistics, & ML packages (Python, R), b) Large industrial datasets from real firms, c) Learning resources, "getting started" roadmaps, d) YT series & podcasts, bloggers, events & conferences near you e) Workhorse papers organized by topics and subtopics. Website uses user clicks/impressions to improve search & discovery.
DeepInference: A Python package that implements the deep-learning-based estimators from Farrell, Liang, and Misra (2021, 2025), which combines the interpretability of classic statistical models (Logit, Poisson, etc.) with the representational power of deep nets -- allowing parametric inference and capturing rich HTEs over high-dim covariates, images, text, sequences, and more.
PyRevealed: A Python package that implements revealed preference (graph) algorithms from Chambers and Echenique (2016) and other leading papers to compute consistency and exploitability scores, and recover reward/utility functions from user choices from budgets, menus, lotteries, comparisons, etc.