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.
  ☆233Updated last year
• microsoft / causica
  ☆519Updated last year
• microsoft / project-azua
  Data Efficient Decision Making
  ☆249Updated 3 years ago
• inovex / justcause
  💊 Comparing causality methods in a fair and just way.
  ☆141Updated 5 years ago
• interpretml / gam-changer
  Editing machine learning models to reflect human knowledge and values
  ☆128Updated 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 8 months ago
• salesforce / causalai
  Salesforce CausalAI Library: A Fast and Scalable framework for Causal Analysis of Time Series and Tabular Data
  ☆310Updated 7 months ago
• BiomedSciAI / causallib
  A Python package for modular causal inference analysis and model evaluations
  ☆799Updated 8 months ago
• microsoft / SparseSC
  Fit Sparse Synthetic Control Models in Python
  ☆87Updated last year
• DoubleML / doubleml-for-py
  DoubleML - Double Machine Learning in Python
  ☆689Updated 2 weeks ago
• amit-sharma / causal-inference-tutorial
  Repository with code and slides for a tutorial on causal inference.
  ☆583Updated 6 years ago
• causal-machine-learning / kdd2021-tutorial
  EconML/CausalML KDD 2021 Tutorial
  ☆166Updated 2 years ago
• py-why / pywhyllm
  Experimental library integrating LLM capabilities to support causal analyses
  ☆271Updated 2 months ago
• laurencium / Causalinference
  Causal Inference in Python
  ☆573Updated 6 months ago
• pymc-labs / CausalPy
  A Python package for causal inference in quasi-experimental settings
  ☆1,080Updated this week
• napsternxg / awesome-causality
  Resources related to causality
  ☆266Updated last year
• py-why / dodiscover
  [Experimental] Global causal discovery algorithms
  ☆110Updated last week
• OscarEngelbrektson / SyntheticControlMethods
  A Python package for causal inference using Synthetic Controls
  ☆192Updated last year
• Minyus / causallift
  CausalLift: Python package for causality-based Uplift Modeling in real-world business
  ☆350Updated 2 years ago
• msuzen / looper
  A resource list for causality in statistics, data science and physics
  ☆267Updated last month
• bookingcom / upliftml
  UpliftML: A Python Package for Scalable Uplift Modeling
  ☆327Updated 2 years ago
• ijmbarr / causalgraphicalmodels
  Causal Graphical Models in Python
  ☆250Updated 2 years ago
• AlxndrMlk / causality
  Notes, exercises and other materials related to causal inference, causal discovery and causal ML.
  ☆158Updated 2 months ago
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆52Updated 4 years ago
• google / tfp-causalimpact
  ☆135Updated last month
• causalens / cai-causal-graph
  A Causal AI package for causal graphs.
  ☆61Updated last month
• WillianFuks / tfcausalimpact
  Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
  ☆659Updated 11 months ago
• facebookincubator / GeoLift
  GeoLift is an end-to-end geo-experimental methodology based on Synthetic Control Methods used to measure the true incremental effect (Lif…
  ☆231Updated 3 months ago
• py-why / pywhy-graphs
  [Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.
  ☆62Updated last week
• AlaaLab / conformal-metalearners
  [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"
  ☆45Updated 2 years ago