Alternatives and similar repositories for showwhy

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

• microsoft / causica
  ☆484Updated 5 months ago
• py-why / causaltune
  AutoML for causal inference.
  ☆221Updated 5 months ago
• microsoft / project-azua
  Data Efficient Decision Making
  ☆246Updated 2 years ago
• microsoft / SparseSC
  Fit Sparse Synthetic Control Models in Python
  ☆82Updated last year
• inovex / justcause
  💊 Comparing causality methods in a fair and just way.
  ☆139Updated 5 years ago
• DoubleML / doubleml-for-py
  DoubleML - Double Machine Learning in Python
  ☆594Updated last week
• BiomedSciAI / causallib
  A Python package for modular causal inference analysis and model evaluations
  ☆779Updated last month
• napsternxg / awesome-causality
  Resources related to causality
  ☆265Updated last year
• Minyus / causallift
  CausalLift: Python package for causality-based Uplift Modeling in real-world business
  ☆348Updated 2 years ago
• py-why / dodiscover
  [Experimental] Global causal discovery algorithms
  ☆101Updated 3 months ago
• altdeep / causalML
  The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML
  ☆762Updated 10 months ago
• OscarEngelbrektson / SyntheticControlMethods
  A Python package for causal inference using Synthetic Controls
  ☆184Updated last year
• amit-sharma / causal-inference-tutorial
  Repository with code and slides for a tutorial on causal inference.
  ☆575Updated 5 years ago
• pymc-labs / CausalPy
  A Python package for causal inference in quasi-experimental settings
  ☆997Updated this week
• msuzen / looper
  A resource list for causality in statistics, data science and physics
  ☆264Updated last week
• ijmbarr / causalgraphicalmodels
  Causal Graphical Models in Python
  ☆246Updated 2 years ago
• laurencium / Causalinference
  Causal Inference in Python
  ☆568Updated 4 years ago
• causal-machine-learning / kdd2021-tutorial
  EconML/CausalML KDD 2021 Tutorial
  ☆161Updated 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).
  ☆58Updated last month
• ronikobrosly / causal-curve
  A python package with tools to perform causal inference using observational data when the treatment of interest is continuous.
  ☆278Updated last year
• interpretml / gam-changer
  Editing machine learning models to reflect human knowledge and values
  ☆124Updated last year
• WillianFuks / tfcausalimpact
  Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
  ☆638Updated 4 months ago
• jamalsenouci / causalimpact
  Python port of CausalImpact R library
  ☆286Updated last year
• google / tfp-causalimpact
  ☆114Updated last year
• bookingcom / upliftml
  UpliftML: A Python Package for Scalable Uplift Modeling
  ☆326Updated 2 years ago
• matteocourthoud / awesome-causal-inference
  A curated list of causal inference libraries, resources, and applications.
  ☆995Updated last month
• facebookincubator / GeoLift
  GeoLift is an end-to-end geo-experimental methodology based on Synthetic Control Methods used to measure the true incremental effect (Lif…
  ☆200Updated 11 months ago
• py-why / pywhyllm
  Experimental library integrating LLM capabilities to support causal analyses
  ☆206Updated last week
• salesforce / causalai
  Salesforce CausalAI Library: A Fast and Scalable framework for Causal Analysis of Time Series and Tabular Data
  ☆290Updated last month
• NickCH-K / causaldata
  Packages of Example Data for The Effect
  ☆139Updated 6 months ago