causal-models topic

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

FenTechSolutions

Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

pgmpy

A Python library that helps data scientists to infer causation rather than observing correlation.

mckinsey

Python library for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.

erdogant

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

jvpoulos

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 graphical...

py-why

A Python package for modular causal inference analysis and model evaluations

BiomedSciAI

YLearn, a pun of "learn why", is a python package for causal inference

DataCanvasIO

This repository contains the dataset and the PyTorch implementations of the models from the paper Recognizing Emotion Cause in Conversations.

declare-lab

A resource list for causality in statistics, data science and physics

msuzen