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.
  ☆230Updated 9 months ago
• microsoft / causica
  ☆500Updated 9 months ago
• microsoft / project-azua
  Data Efficient Decision Making
  ☆248Updated 3 years ago
• BiomedSciAI / causallib
  A Python package for modular causal inference analysis and model evaluations
  ☆789Updated 5 months ago
• inovex / justcause
  💊 Comparing causality methods in a fair and just way.
  ☆140Updated 5 years ago
• microsoft / SparseSC
  Fit Sparse Synthetic Control Models in Python
  ☆86Updated last year
• DoubleML / doubleml-for-py
  DoubleML - Double Machine Learning in Python
  ☆659Updated 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).
  ☆63Updated 4 months ago
• laurencium / Causalinference
  Causal Inference in Python
  ☆573Updated 3 months ago
• Minyus / causallift
  CausalLift: Python package for causality-based Uplift Modeling in real-world business
  ☆350Updated 2 years ago
• amit-sharma / causal-inference-tutorial
  Repository with code and slides for a tutorial on causal inference.
  ☆578Updated 6 years ago
• py-why / dodiscover
  [Experimental] Global causal discovery algorithms
  ☆106Updated last week
• salesforce / causalai
  Salesforce CausalAI Library: A Fast and Scalable framework for Causal Analysis of Time Series and Tabular Data
  ☆303Updated 4 months ago
• causal-machine-learning / kdd2021-tutorial
  EconML/CausalML KDD 2021 Tutorial
  ☆162Updated 2 years ago
• OscarEngelbrektson / SyntheticControlMethods
  A Python package for causal inference using Synthetic Controls
  ☆190Updated last year
• bookingcom / upliftml
  UpliftML: A Python Package for Scalable Uplift Modeling
  ☆327Updated 2 years ago
• interpretml / gam-changer
  Editing machine learning models to reflect human knowledge and values
  ☆127Updated last year
• WillianFuks / tfcausalimpact
  Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
  ☆647Updated 8 months ago
• napsternxg / awesome-causality
  Resources related to causality
  ☆267Updated last year
• pymc-labs / CausalPy
  A Python package for causal inference in quasi-experimental settings
  ☆1,036Updated last week
• altdeep / causalML
  The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML
  ☆779Updated 3 months ago
• py-why / pywhyllm
  Experimental library integrating LLM capabilities to support causal analyses
  ☆246Updated last month
• google / tfp-causalimpact
  ☆120Updated last year
• msuzen / looper
  A resource list for causality in statistics, data science and physics
  ☆266Updated 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…
  ☆212Updated 3 weeks ago
• ijmbarr / causalgraphicalmodels
  Causal Graphical Models in Python
  ☆246Updated 2 years ago
• AlxndrMlk / causality
  Notes, exercises and other materials related to causal inference, causal discovery and causal ML.
  ☆150Updated this week
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆52Updated 4 years ago
• gdmarmerola / cfml_tools
  My collection of causal inference algorithms built on top of accessible, simple, out-of-the-box ML methods, aimed at being explainable an…
  ☆31Updated 2 years ago
• profitopsai / ProRCA
  ☆20Updated 5 months ago