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.
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.
PrefGraph: A Python package that implements revealed preference graph algorithms from leading papers in Microeconomics and Optimization to compute consistency and exploitability scores, and recover reward/utility functions from user choices from budgets, menus, lotteries, comparisons, etc.
EconIRL: A Pythong package that impliments SOTA dynamic discrete choice and inverse reinforcement learning algorithms to help use understand sequential choice data. A full suite of simulation tools, diagnostics, validation protocols, reporting, scoring and post-estimation analysis are included.
Interactive-Pricing: Inspired by Interactive-OR, this is an interactive website to learn about Pricing and Revenue Optimization concepts and research. This covers topics from static vs dynamic pricing, revenue management, subscriptions, fairness, strategic vs behavioral pricing, etc.