Alternatives and similar repositories for causaltune

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

• inovex / justcause
  💊 Comparing causality methods in a fair and just way.
  ☆140Updated 5 years ago
• py-why / dodiscover
  [Experimental] Global causal discovery algorithms
  ☆107Updated last week
• DoubleML / doubleml-for-py
  DoubleML - Double Machine Learning in Python
  ☆660Updated last month
• microsoft / causica
  ☆501Updated 9 months ago
• msuzen / looper
  A resource list for causality in statistics, data science and physics
  ☆266Updated 2 months ago
• microsoft / showwhy
  ☆215Updated last year
• BiomedSciAI / causallib
  A Python package for modular causal inference analysis and model evaluations
  ☆793Updated 5 months ago
• microsoft / project-azua
  Data Efficient Decision Making
  ☆249Updated 3 years ago
• pymc-labs / CausalPy
  A Python package for causal inference in quasi-experimental settings
  ☆1,037Updated last week
• AlxndrMlk / causality
  Notes, exercises and other materials related to causal inference, causal discovery and causal ML.
  ☆152Updated 2 weeks ago
• salesforce / causalai
  Salesforce CausalAI Library: A Fast and Scalable framework for Causal Analysis of Time Series and Tabular Data
  ☆305Updated 5 months ago
• JakeColtman / bartpy
  Bayesian Additive Regression Trees For Python
  ☆232Updated last year
• WillianFuks / tfcausalimpact
  Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
  ☆649Updated 8 months ago
• ykwon0407 / WeightedSHAP
  WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)
  ☆159Updated 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 5 months ago
• interpretml / gam-changer
  Editing machine learning models to reflect human knowledge and values
  ☆127Updated 2 years ago
• Minyus / causallift
  CausalLift: Python package for causality-based Uplift Modeling in real-world business
  ☆349Updated 2 years ago
• bookingcom / upliftml
  UpliftML: A Python Package for Scalable Uplift Modeling
  ☆327Updated 2 years ago
• altdeep / causalML
  The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML
  ☆783Updated 3 months ago
• ijmbarr / causalgraphicalmodels
  Causal Graphical Models in Python
  ☆248Updated 2 years ago
• max-little / GRAPL
  GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
  ☆83Updated 9 months ago
• MBrouns / timeseers
  Time should be taken seer-iously
  ☆317Updated 2 years ago
• causalens / cai-causal-graph
  A Causal AI package for causal graphs.
  ☆60Updated 5 months ago
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆52Updated 4 years ago
• py-why / pywhyllm
  Experimental library integrating LLM capabilities to support causal analyses
  ☆249Updated last month
• amit-sharma / causal-inference-tutorial
  Repository with code and slides for a tutorial on causal inference.
  ☆579Updated 6 years ago
• salimamoukou / acv00
  ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…
  ☆102Updated 3 years ago
• laurencium / Causalinference
  Causal Inference in Python
  ☆572Updated 3 months ago
• AlaaLab / conformal-metalearners
  [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"
  ☆44Updated last year
• nlapier2 / PySensemakr
  Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
  ☆52Updated 4 months ago