Alternatives and similar repositories for showwhy

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

• py-why / causaltune
  AutoML for causal inference.
  ☆223Updated 6 months ago
• microsoft / causica
  ☆493Updated 6 months ago
• microsoft / project-azua
  Data Efficient Decision Making
  ☆247Updated 3 years ago
• pymc-labs / CausalPy
  A Python package for causal inference in quasi-experimental settings
  ☆1,009Updated this week
• microsoft / SparseSC
  Fit Sparse Synthetic Control Models in Python
  ☆83Updated last year
• DoubleML / doubleml-for-py
  DoubleML - Double Machine Learning in Python
  ☆603Updated this week
• BiomedSciAI / causallib
  A Python package for modular causal inference analysis and model evaluations
  ☆782Updated 2 months ago
• altdeep / causalML
  The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML
  ☆767Updated 10 months ago
• amit-sharma / causal-inference-tutorial
  Repository with code and slides for a tutorial on causal inference.
  ☆577Updated 5 years ago
• napsternxg / awesome-causality
  Resources related to causality
  ☆265Updated last year
• 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
• inovex / justcause
  💊 Comparing causality methods in a fair and just way.
  ☆139Updated 5 years ago
• py-why / dodiscover
  [Experimental] Global causal discovery algorithms
  ☆103Updated this week
• py-why / pywhyllm
  Experimental library integrating LLM capabilities to support causal analyses
  ☆213Updated 2 weeks ago
• causal-machine-learning / kdd2021-tutorial
  EconML/CausalML KDD 2021 Tutorial
  ☆160Updated last year
• msuzen / looper
  A resource list for causality in statistics, data science and physics
  ☆264Updated 2 weeks ago
• MLResearchAtOSRAM / cause2e
  The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).
  ☆58Updated 2 months ago
• salesforce / causalai
  Salesforce CausalAI Library: A Fast and Scalable framework for Causal Analysis of Time Series and Tabular Data
  ☆291Updated last month
• laurencium / Causalinference
  Causal Inference in Python
  ☆568Updated 4 years ago
• ijmbarr / causalgraphicalmodels
  Causal Graphical Models in Python
  ☆245Updated 2 years ago
• WillianFuks / tfcausalimpact
  Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
  ☆640Updated 5 months ago
• Minyus / causallift
  CausalLift: Python package for causality-based Uplift Modeling in real-world business
  ☆349Updated 2 years ago
• max-little / GRAPL
  GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
  ☆81Updated 6 months ago
• OscarEngelbrektson / SyntheticControlMethods
  A Python package for causal inference using Synthetic Controls
  ☆185Updated last year
• jamalsenouci / causalimpact
  Python port of CausalImpact R library
  ☆286Updated last year
• AlxndrMlk / causality
  Notes, exercises and other materials related to causal inference, causal discovery and causal ML.
  ☆140Updated 10 months ago
• bookingcom / upliftml
  UpliftML: A Python Package for Scalable Uplift Modeling
  ☆327Updated 2 years ago
• rguo12 / awesome-causality-data
  A data index for learning causality.
  ☆468Updated last year
• jvpoulos / causal-ml
  Must-read papers and resources related to causal inference and machine (deep) learning
  ☆723Updated 2 years ago
• kochbj / Deep-Learning-for-Causal-Inference
  Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…
  ☆329Updated 8 months ago