11 results found Sort:

py-why
dowhy py-why
936
7.2k
mit
140
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 ...
python3 causality do-calculus data-science causal-models causal-inference graphical-models machine-learning bayesian-networks treatment-effects causal-machine-learning
Created 2018-05-31
1,063 commits to main branch, last one 26 days ago
py-why
EconML py-why
721
3.9k
other
78
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goal...
causality economics econometrics causal-inference machine-learning treatment-effects
Created 2018-04-30
519 commits to main branch, last one 14 days ago
jvpoulos
causal-ml jvpoulos
128
684
unknown
28
Must-read papers and resources related to causal inference and machine (deep) learning
paper-list causal-models deep-learning counterfactual causal-learning causal-discovery causal-inference machine-learning treatment-effects counterfactual-learning representation-learning estimating-treatment-effects randomized-controlled-trials heterogeneous-treatment-effects
Created 2019-10-13
81 commits to master branch, last one 2 years ago
AliciaCurth
CATENets AliciaCurth
22
129
bsd-3-clause
2
Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.
cate treatment-effects
Created 2021-02-18
77 commits to main branch, last one about a year ago
rguo12
network-deconfounder-wsdm20 rguo12
8
75
unknown
3
Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.
causal-inference treatment-effects causality-algorithms graph-neural-networks causal-machine-learning graph-convolutional-networks
Created 2019-12-06
14 commits to master branch, last one 3 years ago
rdpackages
rdrobust rdpackages
38
74
other
5
Statistical inference and graphical procedures for RD designs using local polynomial and partitioning regression methods.
causal-inference treatment-effects program-evaluation regression-discontinuity-designs
Created 2020-08-07
97 commits to master branch, last one about a month ago
Open-All-Scale-Causal-Engine
OpenASCE Open-All-Scale-Causal-Engine
8
69
apache-2.0
9
OpenASCE (Open All-Scale Casual Engine) is a Python package for end-to-end large-scale causal learning. It provides causal discovery, causal effect estimation and attribution algorithms all in one pac...
causality causal-inference machine-learning treatment-effects
Created 2023-12-06
11 commits to main branch, last one 12 months ago
kailiang-zhong
DESCN kailiang-zhong
14
69
bsd-2-clause
1
Implementation of paper DESCN, which is accepted in SIGKDD 2022.
descn sigkdd kdd2022 x-network deep-learning uplift-modeling casual-inference treatment-effects
Created 2022-02-08
43 commits to main branch, last one 12 months ago
SUwonglab
CausalEGM SUwonglab
10
67
unknown
4
A General Causal Inference Framework by Encoding Generative Modeling
causality causal-inference generative-model treatment-effects deep-generative-model causal-machine-learning
Created 2022-06-07
238 commits to main branch, last one 6 months ago
andrewtavis
causeinfer andrewtavis
11
59
bsd-3-clause
6
Machine learning based causal inference/uplift in Python
python uplift dataset python3 causality ab-testing statistics open-source data-science econometrics data-analysis uplift-modeling causal-inference machine-learning treatment-effects data-visualization
Created 2019-11-20
304 commits to main branch, last one about a year ago
forestry-labs
causalToolbox forestry-labs
8
39
gpl-3.0
4
This repository has no description...
inference random-forest causal-inference interpretability machine-learning treatment-effects bayesian-additive-regression-trees
Created 2021-01-04
636 commits to master branch, last one about a year ago