PyPI
pgmpy/pgmpy
Python Toolkit for Causal and Probabilistic Reasoning
MITSep 17, 2026 · metrics 2.10.0
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#causal-models
Every repository in the public record carrying this tag — from its GitHub topics or the keywords its package registries publish. Health is measured under the same versioned methodology as the rest of the record.
3 records
PyPI
py-why/dowhy
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.
MITSep 17, 2026 · metrics 2.10.0
PyPI
declare-lab/RECCON
This repository contains the dataset and the PyTorch implementations of the models from the paper Recognizing Emotion Cause in Conversations.
No licenseSep 8, 2026 · metrics 2.10.0