Alternatives and similar repositories for GRAPL

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

• py-why / dodiscover
  [Experimental] Global causal discovery algorithms
  ☆113Updated 3 weeks ago
• AlaaLab / conformal-metalearners
  [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"
  ☆45Updated 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).
  ☆63Updated 9 months ago
• chritoth / active-bayesian-causal-inference
  Active Bayesian Causal Inference (Neurips'22)
  ☆59Updated 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
• AlxndrMlk / causality
  Notes, exercises and other materials related to causal inference, causal discovery and causal ML.
  ☆162Updated last month
• msuzen / looper
  A resource list for causality in statistics, data science and physics
  ☆267Updated 2 weeks 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
  ☆62Updated 6 months ago
• py-why / pywhy-graphs
  [Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.
  ☆64Updated 3 weeks ago
• inovex / justcause
  💊 Comparing causality methods in a fair and just way.
  ☆141Updated 5 years ago
• ijmbarr / causalgraphicalmodels
  Causal Graphical Models in Python
  ☆249Updated 2 years ago
• probml / bandits
  Bayesian Bandits
  ☆68Updated 2 years ago
• py-why / pywhy-stats
  Python package for (conditional) independence testing and statistical functions related to causality.
  ☆31Updated last month
• JakeColtman / bartpy
  Bayesian Additive Regression Trees For Python
  ☆231Updated 2 years ago
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆120Updated 2 years ago
• pymc-devs / pymc-bart
  ☆135Updated 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…
  ☆62Updated last year
• y0-causal-inference / y0
  ❓y0 (pronounced "why not?") is for causal inference in Python
  ☆68Updated this week
• RickardKarl / causal-falsify
  causal-falsify: A Python library with algorithms for falsifying unconfoundedness assumption in a composite dataset from multiple sources.
  ☆36Updated 3 weeks ago
• py-why / causaltune
  AutoML for causal inference.
  ☆236Updated last year
• bradyneal / causal-book-code
  ☆81Updated 5 years ago
• cmu-phil / example-causal-datasets
  Example causal datasets with consistent formatting and ground truth
  ☆105Updated 9 months ago
• felixleopoldo / benchpress
  Scalable open-source software to run, develop, and benchmark causal discovery algorithms
  ☆77Updated last week
• dobriban / Topics-In-Modern-Statistical-Learning
  Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…
  ☆177Updated last year
• py-why / pywhyllm
  Experimental library integrating LLM capabilities to support causal analyses
  ☆287Updated last month
• rrtucci / JudeasRx
  python app for doing personalized causal medicine using the methods invented by Judea Pearl et al.
  ☆25Updated 3 years ago
• aangelopoulos / ppi_py
  A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
  ☆274Updated 5 months ago
• microsoft / project-azua
  Data Efficient Decision Making
  ☆250Updated 3 years ago
• causalens / cai-causal-graph
  A Causal AI package for causal graphs.
  ☆61Updated 3 weeks ago
• pedemonte96 / causaleffect
  Python package to compute conditional and non-conditional causal effects.
  ☆37Updated 3 years ago