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Top 18 causality 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

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

Scribe-py

Regulatory networks with Direct Information in python

✭ 28

python network velocity rnaseq causality singlecell slam-seq

CREST

A Causal Relation Schema for Text

✭ 19

Jupyter Notebook python perl nlp natural-language-processing artificial-intelligence dataset semeval causality brat relation-extraction natural-language-understanding bionlp

Causal-Deconvolution-of-Networks

Causal Deconvolution of Networks by Algorithmic Generative Models

✭ 25

r network-analysis causality deconvolution algorithmic-complexity

causal-learn

Causal Discovery for Python. Translation and extension of the Tetrad Java code.

✭ 428

python Jupyter Notebook time-series graph structure causality causal-inference causal tetrad continous confounder causal-discovery hidden-causal

iPerceive

Causal Reading Group

We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NUS) and LDS (USTC) by week.

✭ 339

machine-learning deep-learning recommender-system causality causal-inference

Awesome-Neural-Logic

Awesome Neural Logic and Causality: MLN, NLRL, NLM, etc. 因果推断，神经逻辑，强人工智能逻辑推理前沿领域。

✭ 106

neural-network logic first-order-logic markov causality causal-inference causal inductive-logic-programming

Generalization-Causality

关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记

✭ 482

machine-learning deep-learning optimization generative-model causality robustness adaptation

ENCO

Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"

✭ 52

python Jupyter Notebook shell pytorch causality structure-learning causal-discovery

RECCON

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

invariant-risk-minimization

Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893

✭ 76

Jupyter Notebook python machine-learning deep-learning neural-network causality invariant-risk-minimization

causeinfer

Machine learning based causal inference/uplift in Python

✭ 45

python Stata open-source data-science machine-learning statistics data-visualization dataset econometrics data-analysis ab-testing causality causal-inference treatment-effects uplift-modeling uplift

pycid

Library for graphical models of decision making, based on pgmpy and networkx

✭ 64

Jupyter Notebook python causality bayesian-networks influence-diagrams

cfvqa

[CVPR 2021] Counterfactual VQA: A Cause-Effect Look at Language Bias

✭ 96

python shell pytorch vqa causality causal-inference cvpr counterfactual cvpr2021 language-bias

ACE

Code for our paper, Neural Network Attributions: A Causal Perspective (ICML 2019).

✭ 47

Jupyter Notebook python machine-learning deep-learning neural-network causality icml attribution-methods

cfml tools

My collection of causal inference algorithms built on top of accessible, simple, out-of-the-box ML methods, aimed at being explainable and useful in the business context

✭ 24

python Makefile data-science machine-learning statistics causality causal-inference treatment-effects uplift-modeling

1-18 of 18 causality projects