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"
  ☆74Updated 3 years ago
• bradyneal / realcause
  Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…
  ☆74Updated 4 years ago
• caus-am / jci
  Code for the paper "Joint Causal Inference from Multiple Contexts" (JMLR 2020)
  ☆16Updated 4 years ago
• felixleopoldo / benchpress
  Scalable open-source software to run, develop, and benchmark causal discovery algorithms
  ☆69Updated 2 weeks 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…
  ☆117Updated last year
• larslorch / stadion
  Causal Modeling with Stationary Diffusions, AISTATS 2024
  ☆18Updated 2 months ago
• diviyank / SAM
  Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)
  ☆52Updated 4 years ago
• azizilab / sdcd
  Stable Differentiable Causal Discovery (SDCD)
  ☆22Updated 10 months ago
• cmu-phil / py-tetrad
  Makes algorithms/code in Tetrad available in Python via JPype
  ☆78Updated 2 weeks ago
• jmoss20 / notears
  Implementation of "DAGs with NO TEARS: Smooth Optimization for Structure Learning", by Zheng et al. (2018)
  ☆50Updated 6 years ago
• py-why / dodiscover
  [Experimental] Global causal discovery algorithms
  ☆100Updated 2 months ago
• larslorch / avici
  Amortized Inference for Causal Structure Learning, NeurIPS 2022
  ☆62Updated 3 months ago
• cmu-phil / example-causal-datasets
  Example causal datasets with consistent formatting and ground truth
  ☆83Updated last month
• causalbench / causalbench
  ☆40Updated 6 months 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…
  ☆59Updated 9 months ago
• juangamella / ges
  Python implementation of the GES algorithm for causal discovery, from the 2002 paper "Optimal Structure Identification With Greedy Search…
  ☆57Updated 2 months ago
• larslorch / dibs
  DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021
  ☆49Updated last year
• juangamella / sempler
  Framework to generate observational and interventional samples from structural equation models (SEMs)
  ☆16Updated last month
• stefangroha / SurvNODE
  ☆18Updated 3 years ago
• IBM-HRL-MLHLS / IBM-Causal-Inference-Benchmarking-Framework
  Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code
  ☆83Updated 6 years ago
• rflperry / sparse_shift
  ☆9Updated 2 years ago
• kjchalup / fcit
  A decision-tree based conditional independence test.
  ☆34Updated 2 years ago
• MLResearchAtOSRAM / cause2e
  The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).
  ☆58Updated 2 weeks ago
• max-little / GRAPL
  GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
  ☆81Updated 4 months ago
• sweichwald / tidybench
  TIme series DiscoverY BENCHmark (tidybench)
  ☆37Updated last year
• kuiy / CausalFS
  An open-source package of causal feature selection and causal (Bayesian network) structure learning (C/C++ version)
  ☆60Updated 4 years ago
• Genentech / dcdfg
  ☆24Updated 2 years ago
• Biwei-Huang / Causal-Discovery-from-Nonstationary-Heterogeneous-Data
  Causal Discovery from Nonstationary/Heterogeneous Data.
  ☆53Updated 4 years ago
• ioanabica / Counterfactual-Recurrent-Network
  Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. B…
  ☆59Updated last year
• phlippe / ENCO
  Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"
  ☆82Updated last year