causal-discovery

There are 8 repositories under causal-discovery topic.

Rath
Kanaries / Rath
Next generation of automated data exploratory analysis and visualization platform.
datamining visualization automated-visualization data-exploration eda machine-learning automated-data-analysis data-visualization data-analysis tableau autovis causal-discovery causal-inference causality k6s kanaries augmented-analytics tableau-alternative
Language:TypeScript 3962
FenTechSolutions / CausalDiscoveryToolbox
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
causal-inference graph causality causal-models algorithm machine-learning graph-structure-recovery python causal-discovery toolbox inference
Language:Python 1051
py-why / causal-learn
Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
causal causal-discovery causal-inference causality python graph structure tetrad time-series hidden-causal confounder causal-representation-learning independence-tests statistics
Language:Python 977
jvpoulos / causal-ml
Must-read papers and resources related to causal inference and machine (deep) learning
causal-inference causal-models counterfactual treatment-effects representation-learning causal-discovery paper-list randomized-controlled-trials heterogeneous-treatment-effects counterfactual-learning estimating-treatment-effects causal-learning deep-learning machine-learning
602
DataCanvasIO / YLearn
YLearn, a pun of "learn why", is a python package for causal inference
causal-inference causality causal-models causal-discovery causality-analysis causality-algorithms uplift uplift-modeling policy-learning
Language:Python 378
cdt15 / lingam
Python package for causal discovery based on LiNGAM.
causal-discovery causal-inference causal-models causality causality-analysis lingam machine-learning python
Language:Python 337
msuzen / looper
A resource list for causality in statistics, data science and physics
statistics statistical-inference bayesian-inference causality-analysis causality data-science physics machine-learning causal-inference meta-learning causal-machine-learning causal-models causality-algorithms causation causal-networks statistical-physics statistical-mechanics causal causal-discovery causal-impact
235
loeweX / AmortizedCausalDiscovery
Code for the paper: Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data
causal-discovery deep-learning graph-neural-networks pytorch
Language:Python 192
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
copula-entropy mutual-information causal-discovery variable-selection granger-causality transfer-entropy correlation normality-test information-theory causality python copula hypothesis-testing two-sample-test conditional-independence-test conditional-mutual-information change-point-detection entropy change-detection changepoint
Language:Python 132
IntelLabs / causality-lab
Causal discovery algorithms and tools for implementing new ones
causal-discovery causal-reasoning causality-algorithms constraint-based-causality explainable-ai transformers
Language:Jupyter Notebook 124
Wuyxin / DIR-GNN
Official code of "Discovering Invariant Rationales for Graph Neural Networks" (ICLR 2022)
causal-discovery causality generalization graph-neural-networks iclr2022 interpretability invariant-learning pytorch
Language:Python 110
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"
structure-learning causal-discovery graphical-models neurips-2022 bayesian-networks dags
Language:Python 74
phlippe / ENCO
Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"
causal-discovery causality pytorch structure-learning
Language:Python 72
felixleopoldo / benchpress
A Snakemake workflow to run and benchmark structure learning (a.k.a. causal discovery) algorithms for probabilistic graphical models.
graphical-models bayesian-networks markov-networks benchmarking reproducible-research machine-learning snakemake-workflow structure-learning causal-discovery causal-models causality
Language:Python 57
larslorch / avici
Amortized Inference for Causal Structure Learning, NeurIPS 2022
amortized-inference causal-discovery causal-inference causality structure-learning transformers variational-inference
Language:Python 46
lazaratan / dyn-gfn
DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks
causal-discovery gflownet pytorch
Language:Python 45
chritoth / active-bayesian-causal-inference
Active Bayesian Causal Inference (Neurips'22)
active-learning bayesian-methods causal-discovery causal-inference causal-reasoning experimental-design gaussian-processes probabilistic-machine-learning
Language:Python 41
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
copula entropy estiamtion mutualinf copula-entropy causal-discovery variable-selection transfer-entropy granger-causality correlation normality-test information-theory mutual-information r machine-learning causality two-sample-test conditional-independence-test conditional-mutual-information
Language:R 38
majianthu / transferentropy
Code for the paper "Estimating Transfer Entropy via Copula Entropy"
granger-causality copula-entropy transfer-entropy time-series-analysis conditional-independence causal-discovery
Language:R 37
polixir / causal-mbrl
Toolkit of Causal Model-based Reinforcement Learning.
causal-discovery causal-inference model-based-rl reinforcement-learning
Language:Python 32
weirayao / leap
LEAP is a tool for discovering latent temporal causal relations with gradient-based neural network.
representation-learning state-space-model causal-discovery nonlinear-ica
Language:Jupyter Notebook 31
Amber-Yes-We-Code / leap
LEAP is a novel tool for discovering latent temporal causal relations.
representation-learning nonlinear-ica causal-discovery latent-variable-models
Language:Jupyter Notebook 17
WellyZhang / ACRE
ACRE: Abstract Causal REasoning Beyond Covariation
visual-reasoning causal-discovery abstract-reasoning cvpr2021
Language:Python 17
causy-dev / causy
Causal discovery made easy.
causality pc-algorithm python pytorch causal-discovery causal-inference
Language:Python 15
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.
causal-discovery causal-machine-learning causality-algorithms
Language:Python 14
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).
causal-discovery causal-discovery-methods causal-inference causality deep-learning deep-neural-networks deeplearning ica independent-component-analysis machine-learning structural-causal-model
Language:Python 13
YangLiu9208 / CMCIR
[IEEE T-PAMI 2023] Cross-Modal Causal Relational Reasoning for Event-Level Visual Question Answering
causal causal-discovery causal-inference causality traffic videoqa vqa
Language:Python 13
ErdunGAO / FedDAG
[TMLR23] FedDAG: Federated DAG Structure Learning
causal-discovery federated-learning
Language:Python 10
ServiceNow / typed-dag
Causal discovery with typed directed acyclic graphs (t-DAG). This is a ServiceNow Research project that was started at Element AI.
causal-discovery causality causal-inference
Language:Python 10
shlizee / TimeAwarePC
A python package for finding causal functional connectivity from neural time series observations.
causal-models timeseries causal-discovery probabilistic-graphical-models functional-connectome causal-inference graph python
Language:Python 10
UzmaHasan / KCRL
Causal Discovery with Prior Knowledge
causal-discovery prior-knowledge causal-inference causal-machine-learning causal-modelling causality causality-analysis reinforcement-learning-agent
Language:Python 10
microsoft / ML4C
[SDM'23] ML4C: Seeing Causality Through Latent Vicinity
causal causal-discovery causality causality-algorithms discrete graph structure-learning supervised-learning supervised-causal-learning
Language:Python 9
savinims / DATAS_Causal_Discovery
Causal inference tutorials written as part of the Data Analysis Tools for Atmospheric Scientists (DATAS) Gateway.
causal-discovery causal-inference causality graphical-models time-series tutorials
Language:Jupyter Notebook 9
baosws / CDCI
Conditional Divergence based Causal Inference (CDCI) - CLeaR 2022
causal-discovery conditional-divergence causal-inference clear2022
Language:Python 8
chunlinli / defuse
Nonlinear Causal Discovery with Confounders
causal-discovery deconfounding neural-network graphical-models
Language:Python 8
BoyangL1 / Advanced_DeepIRL
Enhancing Pedestrian Route Choice Models through Maximum-Entropy Deep Inverse Reinforcement Learning with Individual Covariates (MEDIRL-IC)
causal-discovery inverse-reinforcement-learning
Language:Jupyter Notebook 7