Alternatives and similar repositories for causaldag

Users that are interested in causaldag are comparing it to the libraries listed below

• slachapelle / dcdi
  Repository for "Differentiable Causal Discovery from Interventional Data"
  ☆77Updated 4 years ago
• diviyank / SAM
  Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)
  ☆54Updated 5 years ago
• caus-am / jci
  Code for the paper "Joint Causal Inference from Multiple Contexts" (JMLR 2020)
  ☆16Updated 5 years ago
• kevinsbello / dagma
  A Python 3 package for learning Bayesian Networks (DAGs) from data. Official implementation of the paper "DAGMA: Learning DAGs via M-matr…
  ☆140Updated 2 years ago
• felixleopoldo / benchpress
  Scalable open-source software to run, develop, and benchmark causal discovery algorithms
  ☆77Updated last week
• larslorch / stadion
  Causal Modeling with Stationary Diffusions, AISTATS 2024
  ☆21Updated 11 months ago
• rflperry / sparse_shift
  ☆11Updated 3 years ago
• azizilab / sdcd
  Stable Differentiable Causal Discovery (SDCD)
  ☆25Updated last year
• bradyneal / realcause
  Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…
  ☆86Updated 4 years ago
• causalbench / causalbench
  ☆58Updated 8 months ago
• msesia / deepknockoffs
  Approximate knockoffs and model-free variable selection.
  ☆57Updated 4 years ago
• larslorch / avici
  Amortized Inference for Causal Structure Learning, NeurIPS 2022
  ☆71Updated last year
• cmu-phil / example-causal-datasets
  Example causal datasets with consistent formatting and ground truth
  ☆105Updated 9 months ago
• kjchalup / fcit
  A decision-tree based conditional independence test.
  ☆35Updated 2 years ago
• Genentech / dcdfg
  ☆28Updated 3 years ago
• py-why / pywhy-stats
  Python package for (conditional) independence testing and statistical functions related to causality.
  ☆31Updated last month
• Genentech / nodags-flows
  ☆11Updated 5 months ago
• stefangroha / SurvNODE
  ☆20Updated 4 years ago
• kuiy / CausalFS
  An open-source package of causal feature selection and causal (Bayesian network) structure learning (C/C++ version)
  ☆63Updated 5 years ago
• max-little / GRAPL
  GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
  ☆84Updated last year
• ioanabica / Counterfactual-Recurrent-Network
  Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. B…
  ☆67Updated last year
• abidlabs / contrastive
  Contrastive PCA
  ☆232Updated 4 months ago
• larslorch / dibs
  DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021
  ☆52Updated last year
• ahmedmalaa / AutoPrognosis
  Codebase for "AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization", ICML 2018.
  ☆56Updated 5 years ago
• causalens / cdml-neurips2020
  This repository captures source code and data sets for our paper at the Causal Discovery & Causality-Inspired Machine Learning Workshop a…
  ☆62Updated last year
• jmoss20 / notears
  Implementation of "DAGs with NO TEARS: Smooth Optimization for Structure Learning", by Zheng et al. (2018)
  ☆50Updated 6 years ago
• amspector100 / knockpy
  Knockoffs for controlled variable selection
  ☆40Updated 7 months ago
• py-why / dodiscover
  [Experimental] Global causal discovery algorithms
  ☆113Updated 3 weeks ago
• gemoran / sparse-vae-code
  ☆31Updated 3 years ago
• GoudetOlivier / CGNN
  Replication code for the article "Learning Functional Causal Models with Generative Neural Networks"
  ☆100Updated 6 years ago