rdpackages/rdlocrand

Finite-sample inference for RD designs using local randomization and related methods.

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rdpackages/rdmulti

Estimation, inference, RD Plots, and extrapolation with multiple cutoffs and multiple scores RD designs.

Language: Stata - Size: 7.35 MB - Last synced at: 12 days ago - Pushed at: 30 days ago - Stars: 3 - Forks: 9

rdpackages/rdpower

Power and sample size calculations for RD designs using robust bias-corrected local polynomial inference.

Language: Stata - Size: 3.91 MB - Last synced at: 5 days ago - Pushed at: 30 days ago - Stars: 4 - Forks: 2

grf-labs/grf

Generalized Random Forests

Language: C++ - Size: 62.7 MB - Last synced at: 26 days ago - Pushed at: about 2 months ago - Stars: 1,025 - Forks: 260

jrfiedler/causal_inference_python_code

Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

Language: Jupyter Notebook - Size: 1.51 MB - Last synced at: 30 days ago - Pushed at: over 3 years ago - Stars: 1,309 - Forks: 394

mlondschien/ivmodels

Instrumental Variable Regression in Python

Language: Python - Size: 553 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 6 - Forks: 1

carloscinelli/dml.sensemakr

Sensitivity analysis tools for causal ML

Language: R - Size: 145 MB - Last synced at: 9 days ago - Pushed at: about 1 month ago - Stars: 17 - Forks: 5

grf-labs/policytree

Policy learning via doubly robust empirical welfare maximization over trees

Language: R - Size: 1.52 MB - Last synced at: 6 days ago - Pushed at: about 1 year ago - Stars: 81 - Forks: 15

hanxiao0607/CFAD

CFAD: Achieving Counterfactual Fairness for Anomaly Detection (PAKDD 2023)

Language: Python - Size: 1.57 MB - Last synced at: 5 days ago - Pushed at: 3 months ago - Stars: 5 - Forks: 0

shlizee/TimeAwarePC

A python package for finding causal functional connectivity from neural time series observations.

Language: Python - Size: 29.2 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 17 - Forks: 2

fehiepsi/rethinking-numpyro

Statistical Rethinking (2nd ed.) with NumPyro

Language: Jupyter Notebook - Size: 143 MB - Last synced at: 28 days ago - Pushed at: about 2 months ago - Stars: 458 - Forks: 75

tmichoel/BioFindr.jl

Fast Inference of Biological Networks from Directed Regulations (Findr) in Julia

Language: Julia - Size: 1.83 MB - Last synced at: 3 days ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

r-causal/ggdag

:arrow_lower_left: :arrow_lower_right: An R package for working with causal directed acyclic graphs (DAGs)

Language: R - Size: 185 MB - Last synced at: 29 days ago - Pushed at: 2 months ago - Stars: 447 - Forks: 31

kchaz/CausalCourseNotes

Course notes on causal inference

Language: R - Size: 15.1 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 17 - Forks: 0

MicheleCucinella/Causal-Inference

Report on the paper "The Consequences of Promoting Data Literacy Among Graduate Students", by Margherita Fort, Annalisa Loviglio, Susanna Tinti.

Size: 685 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

jroessler/autoum

A Python Framework for Automatically Evaluating various Uplift Modeling Algorithms to Estimate Individual Treatment Effects

Language: Python - Size: 1.34 MB - Last synced at: 18 days ago - Pushed at: almost 2 years ago - Stars: 23 - Forks: 3

almost-matching-exactly/DAME-FLAME-Python-Package

A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data

Language: Python - Size: 4.91 MB - Last synced at: 19 days ago - Pushed at: about 1 year ago - Stars: 57 - Forks: 13

WillianFuks/tfcausalimpact

Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.

Language: Python - Size: 8.1 MB - Last synced at: 10 days ago - Pushed at: 5 months ago - Stars: 638 - Forks: 74

ArturoSbr/econometrics-ii-2025

Econometrics II workshop (2025).

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bytedance/CausalMatch

CausalMatch is a Bytedance research project aimed at integrating cutting-edge machine learning and econometrics methods to bring about automation in decision-making process.

Language: Jupyter Notebook - Size: 478 KB - Last synced at: 27 days ago - Pushed at: 3 months ago - Stars: 78 - Forks: 5

gmgeorg/pypsps

Predictive State Propensity Subclassification (PSPS): A causal deep learning algoritm in TensorFlow keras

Language: Jupyter Notebook - Size: 6.53 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 18 - Forks: 1

larslorch/dibs

DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021

Language: Python - Size: 13 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 50 - Forks: 13

ehsanx/PlasmodeSim

Language: HTML - Size: 2.19 GB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 3 - Forks: 4

py-why/dodiscover

[Experimental] Global causal discovery algorithms

Language: Python - Size: 522 MB - Last synced at: 19 days ago - Pushed at: 4 months ago - Stars: 101 - Forks: 17

ecboghiu/inflation

Implementations of the Inflation Technique for Causal Inference.

Language: Python - Size: 11.2 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 29 - Forks: 5

agrumery/aGrUM

This repository is a mirror. If you want to raise an issue or contact us, we encourage you to do it on Gitlab (https://gitlab.com/agrumery/aGrUM).

Language: Jupyter Notebook - Size: 335 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 40 - Forks: 0

dscolby/CausalELM.jl

Taking causal inference to the extreme!

Language: Julia - Size: 3.17 MB - Last synced at: about 13 hours ago - Pushed at: 6 months ago - Stars: 30 - Forks: 1

lmaowisc/BMI741

Course site for BMI 741 at UW-Madison

Language: PostScript - Size: 34.5 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

mims-harvard/PDGrapher

Combinatorial prediction of therapeutic perturbations using causally-inspired neural networks

Language: Jupyter Notebook - Size: 58.4 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 24 - Forks: 5

CausalInference/pygformula

The pygformula implements the parametric g-formula in Python. The parametric g-formula (Robins, 1986) uses longitudinal data with time-varying treatments and confounders to estimate the risk or mean of an outcome under hypothetical treatment strategies specified by the user.

Language: Python - Size: 8.39 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 28 - Forks: 5

HCPLab-SYSU/CausalVLR Fork of anonymity2023/Causal-VLReasoning

CausalVLR: A Toolbox and Benchmark for Visual-Linguistic Causal Reasoning (视觉-语言因果推理开源框架)

Language: Python - Size: 106 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 155 - Forks: 5

causy-dev/causy

Causal discovery made easy.

Language: Python - Size: 11.3 MB - Last synced at: 2 days ago - Pushed at: 3 months ago - Stars: 51 - Forks: 1

plasma-umass/coz

Coz: Causal Profiling

Language: C - Size: 8.99 MB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 4,242 - Forks: 165

McAelanRemigio/ATUS

ATUS Causal Inference study is a project investigating the effect of an informal policy change (COVID-19) on workers abilities to work remotely vs not remotely, and if it affected their leisure time.

Language: R - Size: 14.6 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

rpsychologist/easymediation

The Simplest and Most Correct Way to Do Causal Mediation Analysis

Language: R - Size: 7.81 KB - Last synced at: 5 days ago - Pushed at: about 2 months ago - Stars: 5 - Forks: 0

DataCanvasIO/YLearn

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

Language: Python - Size: 12.2 MB - Last synced at: 29 days ago - Pushed at: about 1 month ago - Stars: 420 - Forks: 75

statmlben/nonlinear-causal

nl-causal: nonlinear causal inference based on IV regression in Python

Language: Python - Size: 35.7 MB - Last synced at: 6 days ago - Pushed at: 12 months ago - Stars: 16 - Forks: 0

estopinj/dam

A framework to help you choose methods suited to detection & attribution tasks

Language: HTML - Size: 232 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

DoubleML/doubleml-for-r

DoubleML - Double Machine Learning in R

Language: R - Size: 3.07 MB - Last synced at: 23 days ago - Pushed at: 2 months ago - Stars: 146 - Forks: 26

softsys4ai/cure

Causal Understanding and Remediation for Enhancing Robot Performance

Language: C++ - Size: 33.7 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 3 - Forks: 1

rdpackages/rdrobust

Statistical inference and graphical procedures for RD designs using local polynomial and partitioning regression methods.

Language: Stata - Size: 10.7 MB - Last synced at: 10 days ago - Pushed at: 8 months ago - Stars: 80 - Forks: 39

Yutianxinw/Stardigital_ads_ABtest

An A/B testing analysis for Star Digital's online ad campaign, combining statistical tests, logistic regression, and ROI evaluation to assess ad effectiveness and optimize media spending.

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pozapas/CausalAT

This package implements the Causal-Intervention Scenario Design (CISD) framework and AI-augmented causal inference approach for active transportation research.

Language: Python - Size: 132 KB - Last synced at: 3 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

forestry-labs/causalToolbox

Language: R - Size: 37 MB - Last synced at: 17 days ago - Pushed at: over 2 years ago - Stars: 43 - Forks: 10

klaushajdaraj/ml-treatment-effects

This is a repository of the master thesis on Casual Machine Learning for Heterogeneous Treatment Effects: An Empirical Application on Optimal Treatment Assignment.

Language: Jupyter Notebook - Size: 8.22 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

gregorsteiner/gIVBMA.jl

Bayesian Model Averaging in instrumental variable models.

Language: Julia - Size: 157 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

andrewtavis/causeinfer

Machine learning based causal inference/uplift in Python

Language: Python - Size: 14.3 MB - Last synced at: 4 days ago - Pushed at: over 1 year ago - Stars: 60 - Forks: 11

shafayetShafee/skmiscpy

A python package providing Contains a few functions useful for data-analysis, causal inference etc (built mostly for personal use)

Language: Python - Size: 767 KB - Last synced at: 7 days ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

cjqshu/cjqshu.github.io

Collection of quality resources — DownToOne

Language: Python - Size: 173 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

JianqiaoMao/mechanism-learn

Mechanism-learn is a simple method to deconfound observational data such that any appropriate machine learning model is forced to learn predictive relationships between effects and their causes, despite the potential presence of multiple unknown and unmeasured confounding. The library is compatible with most existing ML deployments.

Language: Jupyter Notebook - Size: 255 MB - Last synced at: 17 days ago - Pushed at: about 2 months ago - Stars: 3 - Forks: 1

shoepaladin/statanomics

Repository of causal inference models, with a shared syntax for users to swap between models. This repository also allows users to diagnose their causal estimates absent any ground truth measures.

Language: Jupyter Notebook - Size: 13.5 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 1

donydchen/causal_emotion

☯︎[ACMMM'22] Official PyTorch Implementation of Towards Unbiased Visual Emotion Recognition via Causal Intervention

Language: Python - Size: 215 KB - Last synced at: about 1 month ago - Pushed at: almost 3 years ago - Stars: 20 - Forks: 3

leo-ware/pqp

A high-performance implementation of Shpitser's ID algorithm for causal identification in Rust

Language: Jupyter Notebook - Size: 9.05 MB - Last synced at: 10 days ago - Pushed at: almost 2 years ago - Stars: 4 - Forks: 0

benkeser/drtmle

Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests

Language: R - Size: 3 MB - Last synced at: 25 days ago - Pushed at: over 2 years ago - Stars: 20 - Forks: 7

0-mostafa-rezaee-0/AB-Testing_Causal-Inference-Starter

A comprehensive starter kit for A/B testing and causal inference with simulations, statistical tests, and visualizations. Perfect for data scientists, students, and professionals learning experimental design.

Language: Jupyter Notebook - Size: 24.4 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

Larsvanderlaan/calibratedDML

calibratedDML: Doubly robust inference via calibration

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adrianjav/causal-flows

CausalFlows: A library for Causal Normalizing Flows in Pytorch

Language: Python - Size: 2.52 MB - Last synced at: 22 days ago - Pushed at: about 2 months ago - Stars: 21 - Forks: 1

amazon-science/azcausal

Causal Inference in Python

Language: Python - Size: 5.47 MB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 43 - Forks: 7

juanpi19/medium-articles

Language: Jupyter Notebook - Size: 2.89 MB - Last synced at: 6 days ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

ldliao/jointVIP

Prioritize variables in observational study design through the joint variable importance plot; shiny app: https://ldliao.shinyapps.io/jointVIP/

Language: HTML - Size: 12.7 MB - Last synced at: 6 days ago - Pushed at: 5 months ago - Stars: 7 - Forks: 0

jaabmar/confounder-lower-bound

Implementation for the paper "Hidden yet quantifiable: A lower bound for confounding strength using randomized trials"

Language: Python - Size: 1.29 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 3 - Forks: 0

jd-opensource/UTBoost

A powerful tree-based uplift modeling system.

Language: C++ - Size: 188 KB - Last synced at: about 23 hours ago - Pushed at: over 1 year ago - Stars: 31 - Forks: 2

causal-machine-learning/kdd2021-tutorial

EconML/CausalML KDD 2021 Tutorial

Language: Jupyter Notebook - Size: 3.35 MB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 161 - Forks: 31

autonlab/auton-survival

Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events

Language: Python - Size: 27.6 MB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 338 - Forks: 78

google/trimmed_match

This Python library implements Trimmed Match for analyzing randomized paired geo experiments and also implements Trimmed Match Design for designing randomized paired geo experiments.

Language: Python - Size: 4.48 MB - Last synced at: about 2 months ago - Pushed at: about 2 years ago - Stars: 68 - Forks: 24

MLResearchAtOSRAM/cause2e

The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).

Language: Python - Size: 8.52 MB - Last synced at: 25 days ago - Pushed at: about 2 months ago - Stars: 58 - Forks: 4

apoorvalal/synthlearners

fast synthetic control estimators for panel data problems

Language: Jupyter Notebook - Size: 24.2 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 19 - Forks: 2

pierrebaudot/infotopopy

computes most of information functions (joint entropy, conditional, mutual information, total correlation information distance) and deep information networks

Language: Python - Size: 33.3 MB - Last synced at: about 2 months ago - Pushed at: about 3 years ago - Stars: 38 - Forks: 8

hordiienkoalina/RML

Examining the Causal Impact of Recreational Marijuana Legalization on Psychotic Disorder-Related Hospitalizations: Evidence from Logistic Regression and Propensity Score Matching

Language: R - Size: 938 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

kaz-yos/regmedint

R implementation of effect measure modification-extended regression-based closed-formula causal mediation analysis

Language: R - Size: 26.1 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 30 - Forks: 5

msuzen/research

Memo's research works.

Language: Jupyter Notebook - Size: 2.64 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 3 - Forks: 1

krisrs1128/multimedia

multimedia is an R package for multimodal mediation analysis of microbiome data. It has been designed to help integration of relative abundance, survey, and metabolomic data through causal mediation analysis.

Language: R - Size: 23.6 MB - Last synced at: 25 days ago - Pushed at: 2 months ago - Stars: 2 - Forks: 0

juanpi19/causal-inference-marketplace

Causal Inference for Marketplace

Language: Jupyter Notebook - Size: 104 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 2 - Forks: 4

sskeen/bar_policy_suicidality

Archival code and open materials: 'Passive suicidality in a repressive U.S. political context.' Additional documents, including a populated pre-analysis plan ("P-PAP"), hosted on Open Science Framework.

Language: Jupyter Notebook - Size: 3.63 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

callmespring/CausalRL Fork of wxyinucas/Time-Dependent-Causal-Effects-Evaluation-in-A-B-Testing-with-a-Reinforcement-Learning-Framework

Implementation of "Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework" (JASA 2023)

Language: Python - Size: 3.73 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 29 - Forks: 3

lars-chen/conv-beta-iVAE

Convolutional version of the beta-Intact-VAE to help control for spurious correlations in counterfactual image generation.

Language: Jupyter Notebook - Size: 8.54 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

larslorch/stadion

Causal Modeling with Stationary Diffusions, AISTATS 2024

Language: Python - Size: 375 KB - Last synced at: 16 days ago - Pushed at: 4 months ago - Stars: 18 - Forks: 2

sangyunlee-education/SSC-Breastfeeding-IV

IV analysis assessing the causal effect of immediate skin-to-skin contact on exclusive breastfeeding in R.

Language: R - Size: 27.3 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

grf-labs/maq

Qini curves for multi-armed treatment rules

Language: R - Size: 3.41 MB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 12 - Forks: 3

Xianjie-Guo/FedCIFL

Federated Causally Invariant Feature Learning

Language: Python - Size: 1.27 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

shoepaladin/causalinference_crashcourse

Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks

Language: Jupyter Notebook - Size: 47.5 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 92 - Forks: 17

fschur/robust_deconfounding

DecoR: Deconfounding Time Series with Robust Regression

Language: Python - Size: 646 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

JuliaDynamics/Associations.jl

Algorithms for quantifying associations, independence testing and causal inference from data.

Language: Julia - Size: 54.7 MB - Last synced at: 29 days ago - Pushed at: 2 months ago - Stars: 156 - Forks: 15

Renovamen/pcalg-py

Implement PC algorithm in Python | PC 算法的 Python 实现

Language: Python - Size: 666 KB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 117 - Forks: 29

ngreifer/WeightIt

WeightIt: an R package for propensity score weighting

Language: R - Size: 14.1 MB - Last synced at: 29 days ago - Pushed at: 2 months ago - Stars: 112 - Forks: 19

Blood-Glucose-Control/causal_modeling

Causal modelling with FitBit and Gluroo data for blood-glucose time-series evolution

Language: Jupyter Notebook - Size: 33.5 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 5 - Forks: 3

wustat/rjaf

Regularized Joint Assignment Forest with Treatment Arm Clustering

Language: R - Size: 9.09 MB - Last synced at: 6 days ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

silicontwin/arborist

The cross-platform app for efficiently performing Bayesian causal inference and supervised learning tasks using tree-based models, including BCF, BART, and XBART.

Language: Python - Size: 37.8 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 2 - Forks: 0

edrubin/EC607S23

Causal-inference oriented doctoral econometrics course at UO

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santikka/dosearch

dosearch: R Package for Identifying General Causal Queries

Language: R - Size: 2.64 MB - Last synced at: 6 days ago - Pushed at: 3 months ago - Stars: 7 - Forks: 0

cjerzak/strategize-software

strategize: An R package for performing optimal stochastic intervention analysis

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KNguyen37/h1b-econ-paper

Research examining how the 2017 "Buy American, Hire American" policy affected wages across industries with varying H-1B visa dependency (2012-2020)

Language: Python - Size: 124 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

mschauer/CausalInference.jl

Causal inference, graphical models and structure learning in Julia

Language: Julia - Size: 22.9 MB - Last synced at: 10 days ago - Pushed at: 3 months ago - Stars: 201 - Forks: 25

SimonDedman/FIU-SharkFishCoral-FrenchPoly

Trophic roles of sharks and fish on French Polynesian coral reefs

Language: R - Size: 249 KB - Last synced at: 4 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

J-sephB-lt-n/knowledge-base

A large pile of interesting and/or useful information

Language: Python - Size: 2.71 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

user683/CausalDiffRec

[WWW'25]The official implementation of Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation

Language: Python - Size: 8.41 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 7 - Forks: 1

jvpoulos/causal-ml

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

Size: 81.1 KB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 699 - Forks: 130

fulifeng/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.

Size: 143 KB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 514 - Forks: 78

apoorvalal/ding_causalInference_python

python implementation of Peng Ding's "First Course in Causal Inference"

Language: Jupyter Notebook - Size: 5.46 MB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 161 - Forks: 35

rpatrik96/nl-causal-representations

This is the code for the paper Jacobian-based Causal Discovery with Nonlinear ICA, demonstrating how identifiable representations (particularly, with Nonlinear ICA) can be used to extract the causal graph from an underlying structural equation model (SEM).

Language: Python - Size: 6.67 MB - Last synced at: 19 days ago - Pushed at: 10 months ago - Stars: 18 - Forks: 2