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"
  ☆76Updated 3 years ago
• diviyank / SAM
  Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)
  ☆53Updated 4 years ago
• bradyneal / realcause
  Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…
  ☆79Updated 4 years ago
• caus-am / jci
  Code for the paper "Joint Causal Inference from Multiple Contexts" (JMLR 2020)
  ☆16Updated 5 years ago
• felixleopoldo / benchpress
  Scalable open-source software to run, develop, and benchmark causal discovery algorithms
  ☆72Updated last week
• rflperry / sparse_shift
  ☆11Updated 3 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…
  ☆126Updated last year
• stefangroha / SurvNODE
  ☆18Updated 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…
  ☆61Updated last year
• Genentech / dcdfg
  ☆26Updated 3 years ago
• causalbench / causalbench
  ☆51Updated 3 months ago
• azizilab / sdcd
  Stable Differentiable Causal Discovery (SDCD)
  ☆23Updated last year
• amspector100 / knockpy
  Knockoffs for controlled variable selection
  ☆38Updated 2 months ago
• Genentech / nodags-flows
  ☆11Updated last month
• cmu-phil / example-causal-datasets
  Example causal datasets with consistent formatting and ground truth
  ☆90Updated 5 months ago
• msesia / deepknockoffs
  Approximate knockoffs and model-free variable selection.
  ☆56Updated 3 years ago
• larslorch / avici
  Amortized Inference for Causal Structure Learning, NeurIPS 2022
  ☆68Updated 7 months ago
• larslorch / stadion
  Causal Modeling with Stationary Diffusions, AISTATS 2024
  ☆19Updated 7 months ago
• larslorch / dibs
  DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021
  ☆52Updated last year
• juangamella / icp
  Python implementation of the Invariant Causal Prediction (ICP) algorithm, from the 2015 paper "Causal inference using invariant predictio…
  ☆23Updated last year
• kjchalup / fcit
  A decision-tree based conditional independence test.
  ☆34Updated 2 years ago
• max-little / GRAPL
  GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
  ☆83Updated 9 months ago
• kuiy / CausalFS
  An open-source package of causal feature selection and causal (Bayesian network) structure learning (C/C++ version)
  ☆62Updated 4 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
• ahmedmalaa / AutoPrognosis
  Codebase for "AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization", ICML 2018.
  ☆56Updated 4 years ago
• y0-causal-inference / y0
  ❓y0 (pronounced "why not?") is for causal inference in Python
  ☆62Updated this week
• sweichwald / tidybench
  TIme series DiscoverY BENCHmark (tidybench)
  ☆38Updated last year
• MLResearchAtOSRAM / cause2e
  The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).
  ☆63Updated 5 months ago
• vdorie / npci
  Non-parametrics for Causal Inference
  ☆49Updated 3 years ago
• ioanabica / Time-Series-Deconfounder
  Code for ICML 2020 paper: "Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders" by I. …
  ☆52Updated 4 years ago