Alternatives and similar repositories for GRAPL

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

• MLResearchAtOSRAM / cause2e
  The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).
  ☆58Updated last month
• py-why / dodiscover
  [Experimental] Global causal discovery algorithms
  ☆103Updated this week
• bradyneal / realcause
  Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…
  ☆77Updated 4 years ago
• nlapier2 / PySensemakr
  Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
  ☆51Updated last month
• chritoth / active-bayesian-causal-inference
  Active Bayesian Causal Inference (Neurips'22)
  ☆56Updated 10 months ago
• py-why / pywhy-graphs
  [Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.
  ☆56Updated this week
• AlaaLab / conformal-metalearners
  [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"
  ☆44Updated last year
• pymc-devs / pymc-bart
  ☆118Updated this week
• vveitch / causality-tutorials
  Short tutorials on the use of machine learning methods for causal inference
  ☆48Updated 2 years ago
• almost-matching-exactly / DAME-FLAME-Python-Package
  A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data
  ☆58Updated last year
• AlxndrMlk / causality
  Notes, exercises and other materials related to causal inference, causal discovery and causal ML.
  ☆140Updated 10 months ago
• y0-causal-inference / y0
  ❓y0 (pronounced "why not?") is for causal inference in Python
  ☆51Updated this week
• probml / bandits
  Bayesian Bandits
  ☆68Updated last year
• discdiver / causal-inference-python-packages
  List of python packages for causal inference
  ☆17Updated 3 years ago
• inovex / justcause
  💊 Comparing causality methods in a fair and just way.
  ☆139Updated 5 years ago
• anishazaveri / austen_plots
  Demo data and code for "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding".
  ☆26Updated 3 years ago
• msuzen / looper
  A resource list for causality in statistics, data science and physics
  ☆264Updated 2 weeks ago
• amazon-science / azcausal
  Causal Inference in Python
  ☆43Updated 5 months ago
• causalens / cai-causal-graph
  A Causal AI package for causal graphs.
  ☆59Updated 2 months ago
• pedemonte96 / causaleffect
  Python package to compute conditional and non-conditional causal effects.
  ☆35Updated 3 years ago
• py-why / pywhy-stats
  Python package for (conditional) independence testing and statistical functions related to causality.
  ☆28Updated 2 weeks ago
• BasisResearch / chirho
  An experimental language for causal reasoning
  ☆214Updated 2 weeks 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…
  ☆61Updated 10 months ago
• bradyneal / causal-book-code
  ☆79Updated 4 years ago
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆74Updated last year
• py-why / causaltune
  AutoML for causal inference.
  ☆223Updated 6 months ago
• AliciaCurth / CATENets
  Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.
  ☆142Updated last year
• ghosthamlet / ananke
  Ananke named for the Greek primordial goddess of necessity and causality, is a python package for causal inference using the language o…
  ☆14Updated 5 years ago
• microsoft / csuite
  CSuite: A Suite of Benchmark Datasets for Causality
  ☆67Updated 2 years ago
• cmu-phil / py-tetrad
  Makes algorithms/code in Tetrad available in Python via JPype
  ☆79Updated this week