Alternatives and similar repositories for dodiscover

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

• cmu-phil / example-causal-datasets
  Example causal datasets with consistent formatting and ground truth
  ☆105Updated 9 months ago
• py-why / pywhy-graphs
  [Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.
  ☆63Updated 2 weeks ago
• py-why / causaltune
  AutoML for causal inference.
  ☆236Updated 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 9 months ago
• max-little / GRAPL
  GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
  ☆84Updated last year
• IntelLabs / causality-lab
  Causal discovery algorithms and tools for implementing new ones
  ☆245Updated 6 months ago
• felixleopoldo / benchpress
  Scalable open-source software to run, develop, and benchmark causal discovery algorithms
  ☆77Updated this week
• salesforce / causalai
  Salesforce CausalAI Library: A Fast and Scalable framework for Causal Analysis of Time Series and Tabular Data
  ☆313Updated 9 months ago
• microsoft / csuite
  CSuite: A Suite of Benchmark Datasets for Causality
  ☆82Updated 2 years ago
• cmu-phil / py-tetrad
  Makes algorithms/code in Tetrad available in Python via JPype
  ☆91Updated this week
• boschresearch / causalAssembly
  ☆33Updated 5 months ago
• chritoth / active-bayesian-causal-inference
  Active Bayesian Causal Inference (Neurips'22)
  ☆59Updated last year
• AlaaLab / conformal-metalearners
  [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"
  ☆45Updated 2 years ago
• py-why / pywhy-stats
  Python package for (conditional) independence testing and statistical functions related to causality.
  ☆31Updated last month
• py-why / pywhyllm
  Experimental library integrating LLM capabilities to support causal analyses
  ☆287Updated last month
• 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
• AlxndrMlk / causality
  Notes, exercises and other materials related to causal inference, causal discovery and causal ML.
  ☆162Updated last month
• kevinsbello / dagma
  A Python 3 package for learning Bayesian Networks (DAGs) from data. Official implementation of the paper "DAGMA: Learning DAGs via M-matr…
  ☆139Updated 2 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
• causalens / cai-causal-graph
  A Causal AI package for causal graphs.
  ☆61Updated 2 weeks ago
• microsoft / causica
  ☆521Updated last year
• cdt15 / lingam
  Python package for causal discovery based on LiNGAM.
  ☆471Updated last week
• lcastri / causalflow
  CausalFlow: a Unified Framework for Causality in Time-Series
  ☆68Updated this week
• BiomedSciAI / causallib
  A Python package for modular causal inference analysis and model evaluations
  ☆809Updated 10 months ago
• microsoft / project-azua
  Data Efficient Decision Making
  ☆250Updated 3 years ago
• BasisResearch / chirho
  An experimental language for causal reasoning
  ☆250Updated 2 months ago
• AliciaCurth / CATENets
  Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.
  ☆154Updated last year
• msuzen / looper
  A resource list for causality in statistics, data science and physics
  ☆267Updated last week
• kuiy / CausalFS
  An open-source package of causal feature selection and causal (Bayesian network) structure learning (C/C++ version)
  ☆63Updated 5 years ago
• larslorch / avici
  Amortized Inference for Causal Structure Learning, NeurIPS 2022
  ☆71Updated 11 months ago