Starred repositories
Public materials for Charting Reality with Stochastic Modeling
Course materials for ECBS5256: Managing Data Science Teams - a workshop-driven intensive on analytics leadership at Central European University
Unofficial Python API and agentic skill for Google NotebookLM. Full programmatic access to NotebookLM's features—including capabilities the web UI doesn't expose—via Python, CLI, and AI agents like…
Meridian is an MMM framework that enables advertisers to set up and run their own in-house models.
Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Examples of autograders for running on Gradescope
Code for the Book Causal Inference in Python
The hdmpy package is a port of parts of the R package hdm
The 100 line AI agent that solves GitHub issues or helps you in your command line. Radically simple, no huge configs, no giant monorepo—but scores >74% on SWE-bench verified!
Notebooks for Applied Causal Inference Powered by ML and AI
Get started with building Fullstack Agents using Gemini 2.5 and LangGraph
Reinforcement Learning Algorithms Tutorial (Python) from scratch (Mar 2021)
Uplift modeling and causal inference with machine learning algorithms
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
Official repository of "SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory"
Data and Program files for Causal Inference: The Mixtape
KDD 2024 2nd Workshop on Causal Inference and Machine Learning in Practice
The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well a…
Template for data science competitions. Includes makefiles and Python scripts for feature engineering, cross validation, ensemble, etc.
Matched Markets is a Python library for design and analysis of Geo experiments using Matched Markets and Time Based Regression.
The simplest, fastest repository for training/finetuning medium-sized GPTs.
[ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"
📚 Community guides for open source creators
A curated list of causal inference libraries, resources, and applications.