causal-discovery

There are 120 repositories under causal-discovery topic.

  • Rath

    Kanaries/Rath

    Next generation of automated data exploratory analysis and visualization platform.

    Language:TypeScript4.3k47144337

  • pgmpy/pgmpy

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

    Language:Python2.8k76911721

  • py-why/causal-learn

    Causal Discovery in Python. It also includes (conditional) independence tests and score functions.

    Language:Python1.2k18109201

  • FenTechSolutions/CausalDiscoveryToolbox

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

    Language:Python1.1k37143200

  • jvpoulos/causal-ml

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

    684280128

  • DataCanvasIO/YLearn

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

    Language:Python408123275

  • cdt15/lingam

    Python package for causal discovery based on LiNGAM.

    Language:Python395115061

  • msuzen/looper

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

    257133634

  • loeweX/AmortizedCausalDiscovery

    Code for the paper: Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data

    Language:Python2047843

  • IntelLabs/causality-lab

    Causal discovery algorithms and tools for implementing new ones

    Language:Jupyter Notebook20112226

  • majianthu/pycopent

    Estimating Copula Entropy (Mutual Information), Transfer Entropy (Conditional Mutual Information), and the statistics for multivariate normality test and two-sample test, and change point detection in Python

    Language:Python1593031

  • Wuyxin/DIR-GNN

    Official code of "Discovering Invariant Rationales for Graph Neural Networks" (ICLR 2022)

    Language:Python12251516

  • kevinsbello/dagma

    A Python 3 package for learning Bayesian Networks (DAGs) from data. Official implementation of the paper "DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization"

    Language:Python1093519

  • phlippe/ENCO

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

    Language:Python803515

  • felixleopoldo/benchpress

    Scalable open-source software to run, develop, and benchmark causal discovery algorithms

    Language:Python6554717

  • larslorch/avici

    Amortized Inference for Causal Structure Learning, NeurIPS 2022

    Language:Python61249

  • chritoth/active-bayesian-causal-inference

    Active Bayesian Causal Inference (Neurips'22)

    Language:Python51418

  • lazaratan/dyn-gfn

    DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks

    Language:Python512213

  • causy-dev/causy

    Causal discovery made easy.

    Language:Python423211

  • CausalInferenceLab/causal-inference-practice

    가짜연구소 <인과추론과 실무> 프로젝트

    41073

  • majianthu/copent

    R package for estimating copula entropy (mutual information), transfer entropy (conditional mutual information), and the statistic for multivariate normality test and two-sample test

    Language:R412010

  • majianthu/transferentropy

    Code for the paper "Estimating Transfer Entropy via Copula Entropy"

    Language:R400013

  • BoyangL1/Advanced_DeepIRL

    Enhancing Pedestrian Route Choice Models through Maximum-Entropy Deep Inverse Reinforcement Learning with Individual Covariates (MEDIRL-IC)

    Language:Jupyter Notebook39313

  • weirayao/leap

    LEAP is a tool for discovering latent temporal causal relations with gradient-based neural network.

    Language:Jupyter Notebook34216

  • polixir/causal-mbrl

    Toolkit of Causal Model-based Reinforcement Learning.

    Language:Python32311

  • lmz123321/proxy_causal_discovery

    Official implementation for NeurIPS23 paper: Causal Discovery from Subsampled Time Series with Proxy Variable

    Language:Python22200

  • lingbai-kong/CausalFormer

    PyTorch Implementation of CausalFormer: An Interpretable Transformer for Temporal Causal Discovery

    Language:Jupyter Notebook21121

  • lcastri/causalflow

    CausalFlow: a Collection of Methods for Causal Discovery from Time-series

    Language:Python18202

  • WellyZhang/ACRE

    ACRE: Abstract Causal REasoning Beyond Covariation

    Language:Python18201

  • Amber-Yes-We-Code/leap

    LEAP is a novel tool for discovering latent temporal causal relations.

    Language:Jupyter Notebook17102

  • chunlinli/defuse

    Nonlinear Causal Discovery with Confounders

    Language:Python17103

  • ErdunGAO/FedDAG

    [TMLR23] FedDAG: Federated DAG Structure Learning

    Language:Python16104

  • 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:Python16322

  • Scriddie/Varsortability

    Implementations of var-sortability, sortnregress, and chain-orientation as presented in the article "Beware of the Simulated DAG": https://arxiv.org/abs/2102.13647.

    Language:Python15402

  • shlizee/TimeAwarePC

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

    Language:Python15402

  • YangLiu9208/CMCIR

    [IEEE T-PAMI 2023] Cross-Modal Causal Relational Reasoning for Event-Level Visual Question Answering

    Language:Python15548