Alternatives and similar repositories for causallib

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

• altdeep / causalML
  The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML
  ☆786Updated 4 months ago
• DoubleML / doubleml-for-py
  DoubleML - Double Machine Learning in Python
  ☆672Updated this week
• microsoft / causica
  ☆511Updated 11 months ago
• pymc-labs / CausalPy
  A Python package for causal inference in quasi-experimental settings
  ☆1,063Updated this week
• py-why / causaltune
  AutoML for causal inference.
  ☆231Updated 10 months ago
• amit-sharma / causal-inference-tutorial
  Repository with code and slides for a tutorial on causal inference.
  ☆583Updated 6 years ago
• laurencium / Causalinference
  Causal Inference in Python
  ☆573Updated 4 months ago
• erdogant / bnlearn
  Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inf…
  ☆556Updated 2 weeks ago
• cdt15 / lingam
  Python package for causal discovery based on LiNGAM.
  ☆452Updated 2 weeks ago
• FenTechSolutions / CausalDiscoveryToolbox
  Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
  ☆1,205Updated last month
• rguo12 / awesome-causality-data
  A data index for learning causality.
  ☆480Updated 2 years ago
• WillianFuks / tfcausalimpact
  Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
  ☆657Updated 10 months ago
• JakeColtman / bartpy
  Bayesian Additive Regression Trees For Python
  ☆232Updated last year
• mckinsey / causalnex
  A Python library that helps data scientists to infer causation rather than observing correlation.
  ☆2,392Updated last year
• jvpoulos / causal-ml
  Must-read papers and resources related to causal inference and machine (deep) learning
  ☆741Updated 2 years ago
• interpretml / DiCE
  Generate Diverse Counterfactual Explanations for any machine learning model.
  ☆1,465Updated 4 months ago
• py-why / causal-learn
  Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
  ☆1,498Updated last month
• microsoft / project-azua
  Data Efficient Decision Making
  ☆248Updated 3 years ago
• msuzen / looper
  A resource list for causality in statistics, data science and physics
  ☆266Updated 2 weeks ago
• ijmbarr / causalgraphicalmodels
  Causal Graphical Models in Python
  ☆249Updated 2 years ago
• DataForScience / Causality
  ☆470Updated last year
• jrfiedler / causal_inference_python_code
  Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
  ☆1,331Updated 3 years ago
• py-why / dodiscover
  [Experimental] Global causal discovery algorithms
  ☆109Updated this week
• csinva / imodels
  Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
  ☆1,511Updated 2 months ago
• Minyus / causallift
  CausalLift: Python package for causality-based Uplift Modeling in real-world business
  ☆350Updated 2 years ago
• christophM / rulefit
  Python implementation of the rulefit algorithm
  ☆425Updated 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…
  ☆340Updated last year
• salesforce / causalai
  Salesforce CausalAI Library: A Fast and Scalable framework for Causal Analysis of Time Series and Tabular Data
  ☆307Updated 6 months ago
• benmiroglio / pymatch
  ☆289Updated 2 years ago
• bd2kccd / py-causal
  ☆205Updated 2 years ago