Must-read papers and resources related to causal inference and machine (deep) learning

Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning

This repository contains the source codes for the paper: "SPACE: A Simulator for Physical Interactions and Causal Learning in 3D Environments" published at ICCV 2021, 1st SEAI Workshop.

Official repository of the paper Face Presentation Attack Detection by Eacavating Causal Clues and Adapting Embedding Statistics

Codes for the EMNLP 2021 paper "Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP"

A modularized repository for Spatio-Temporal Causal Learning under ADNI database.

QML-HCS: Quantum Machine Learning Hypercausal System A research-grade library for quantum-inspired machine learning with hypercausal feedback.

A self-supervised learning at test time approach for robust and adaptable diagnosis of pneumonia on chest X-rays data.

Investigating sense of agency in multi-agent action-effect causality perception

A deep learning approach to causal inference with panel data.

Neurophysical core — private. This repository contains a public showcase: a brief description of capabilities, an example (raw) dataset, and a demo video of the neurophysical core in action.