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.
  ☆141Updated 5 years ago
• microsoft / showwhy
  ☆219Updated last month
• py-why / dodiscover
  [Experimental] Global causal discovery algorithms
  ☆112Updated 2 weeks ago
• microsoft / causica
  ☆521Updated last year
• BiomedSciAI / causallib
  A Python package for modular causal inference analysis and model evaluations
  ☆807Updated 9 months ago
• msuzen / looper
  A resource list for causality in statistics, data science and physics
  ☆267Updated this week
• DoubleML / doubleml-for-py
  DoubleML - Double Machine Learning in Python
  ☆704Updated this week
• microsoft / project-azua
  Data Efficient Decision Making
  ☆250Updated 3 years ago
• AlxndrMlk / causality
  Notes, exercises and other materials related to causal inference, causal discovery and causal ML.
  ☆162Updated last month
• bookingcom / upliftml
  UpliftML: A Python Package for Scalable Uplift Modeling
  ☆327Updated 2 years ago
• pymc-labs / CausalPy
  A Python package for causal inference in quasi-experimental settings
  ☆1,097Updated last week
• 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
• WillianFuks / tfcausalimpact
  Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
  ☆662Updated last year
• salesforce / causalai
  Salesforce CausalAI Library: A Fast and Scalable framework for Causal Analysis of Time Series and Tabular Data
  ☆313Updated 9 months ago
• Minyus / causallift
  CausalLift: Python package for causality-based Uplift Modeling in real-world business
  ☆352Updated 2 years ago
• altdeep / causalAI
  The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalAI
  ☆788Updated 2 months ago
• JakeColtman / bartpy
  Bayesian Additive Regression Trees For Python
  ☆231Updated 2 years ago
• ykwon0407 / WeightedSHAP
  WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)
  ☆159Updated 3 years ago
• google / tfp-causalimpact
  ☆140Updated 2 weeks ago
• laurencium / Causalinference
  Causal Inference in Python
  ☆576Updated 7 months ago
• MBrouns / timeseers
  Time should be taken seer-iously
  ☆319Updated 2 years ago
• interpretml / gam-changer
  Editing machine learning models to reflect human knowledge and values
  ☆128Updated 2 years ago
• ijmbarr / causalgraphicalmodels
  Causal Graphical Models in Python
  ☆249Updated 2 years ago
• napsternxg / awesome-causality
  Resources related to causality
  ☆267Updated last year
• OscarEngelbrektson / SyntheticControlMethods
  A Python package for causal inference using Synthetic Controls
  ☆192Updated 2 years ago
• max-little / GRAPL
  GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
  ☆84Updated last year
• 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
• amit-sharma / causal-inference-tutorial
  Repository with code and slides for a tutorial on causal inference.
  ☆582Updated 6 years ago
• PlaytikaOSS / uplift-analysis
  A Python library that implements scoring utilities, analysis strategies, and visualization methods which can serve uplift modeling use-ca…
  ☆24Updated 2 years ago
• matheusfacure / causal-inference-in-python-code
  Code for the Book Causal Inference in Python
  ☆364Updated 2 years ago