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Top 6 causal-models open source projects

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 models and potential outcomes frameworks.

✭ 3,480

python machine-learning data-science graphical-models causality bayesian-networks causal-inference treatment-effects causal-models do-calculus causal-machine-learning

CARNIVAL

CAusal Reasoning for Network Identification with integer VALue programming in R

✭ 33

r footprints causal-models integer-linear-programming pathway-enrichment-analysis

causaldag

Python package for the creation, manipulation, and learning of Causal DAGs

✭ 82

javascript python CSS HTML r shell Makefile inference causality causal-inference causal-models causal-dags

causal-semantic-generative-model

Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution Prediction" (NeurIPS-21)

✭ 51

python shell Jupyter Notebook machine-learning pytorch generative-model causal-models

RECCON

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

causal-ml

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

✭ 387

machine-learning deep-learning representation-learning causal-inference treatment-effects causal-models counterfactual randomized-controlled-trials paper-list heterogeneous-treatment-effects causal-discovery counterfactual-learning estimating-treatment-effects causal-learning

1-6 of 6 causal-models projects