causal-models

Here are 71 public repositories matching this topic...

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.

data-science machine-learning python3 graphical-models causality bayesian-networks causal-inference treatment-effects causal-models do-calculus causal-machine-learning

Updated Oct 25, 2022
Python

pgmpy / pgmpy

Star

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

python statistics simulation statistical-inference causality bayesian-networks probabilistic-graphical-models dag causal-inference structure-learning causal-models sampling-methods

Updated Oct 7, 2022
Python

quantumblacklabs / causalnex

Star

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

data-science machine-learning bayesian-inference bayesian-networks causal-inference causal-models causal-networks causalnex

Updated Oct 18, 2022
Python

FenTechSolutions / CausalDiscoveryToolbox

Star

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

python machine-learning algorithm graph inference toolbox causality causal-inference causal-models graph-structure-recovery causal-discovery

Updated Aug 22, 2022
Python

IBM / causallib

Star

A Python package for modular causal inference analysis and model evaluations

data-science machine-learning ml causality causal-inference causal causal-models

Updated Sep 29, 2022
Python

jvpoulos / causal-ml

Star

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

Updated Oct 18, 2022

DataCanvasIO / YLearn

Star

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

causality causality-analysis causal-inference causal-models uplift-modeling uplift causality-algorithms causal-discovery policy-learning

Updated Oct 25, 2022
Python

erdogant / bnlearn

Sponsor

Star

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

python machine-learning bayesian-inference dag causality-analysis structure-learning causal causal-models sampling-methods directed-acyclic-graph causal-networks parameter-learning

Updated Oct 23, 2022
Jupyter Notebook

declare-lab / RECCON

Star

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

conversations emotion inference dataset causality natural-language-inference causal-inference dialogue-systems reasoning emotion-recognition causal-models dialogue-generation roberta bert-model emotion-recognition-in-conversation emotion-cause emotion-cause-pair-extraction emotion-tasks causal-spans

Updated Apr 15, 2022
Python

msuzen / looper

Star

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

Updated Oct 25, 2022

uhlerlab / causaldag

Star

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

inference causality causal-inference causal-models causal-dags

Updated Oct 20, 2022
JavaScript

maxwshen / iap-cidl

Star

Causal Inference & Deep Learning, MIT IAP 2018

notes inference causality causal-models

Updated Jan 18, 2018

df-foundation / pylift

Star

Uplift modeling and evaluation library. Actively maintained pypi version.

causal-inference causal-models uplift-modeling uplift model-uplift

Updated Apr 29, 2021
Python

changliu00 / causal-semantic-generative-model

Star

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

machine-learning pytorch generative-model causal-models