An R package for model-based standardisation for indirect treatment comparison (ITC).

Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, i…

A causal inference-driven framework for functional black-box testing of complex software.

Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.

[NeurIPS 2022] Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline.

Repository for the Tetrad Project, www.phil.cmu.edu/tetrad.

Gather quality references on metamorphic testing and its applications

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 graphic…

Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

Classical equations and diagrams in machine learning

Curated list of resources for various topics, articles, tutorials, etc I've found useful.

This is the COVID-19 CovidSim microsimulation model developed by the MRC Centre for Global Infectious Disease Analysis hosted at Imperial College, London.

The "Python Machine Learning (1st edition)" book code repository and info resource