[CVPR] Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective

Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

Neural relational inference for interacting systems - pytorch

Causal Discovery in Python. It also includes (conditional) independence tests and score functions.

Amortized Inference for Causal Structure Learning, NeurIPS 2022

Combining smooth constraint for building DAG with normalizing flow in order to replace autoregressive transformations while keeping tractable Jacobian.

Invariant Causal Prediction for Block MDPs

[ICCV 2023 Oral] A New Paradigm for End-to-end Autonomous Driving to Alleviate Causal Confusion

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…

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…

Causal Neural Nerwork

DoubleML - Double Machine Learning in Python