Alternatives and similar repositories for causica

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

• BiomedSciAI / causallib
  A Python package for modular causal inference analysis and model evaluations
  ☆782Updated 2 months ago
• microsoft / showwhy
  ☆210Updated last year
• py-why / causaltune
  AutoML for causal inference.
  ☆223Updated 6 months ago
• jvpoulos / causal-ml
  Must-read papers and resources related to causal inference and machine (deep) learning
  ☆723Updated 2 years 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
• microsoft / project-azua
  Data Efficient Decision Making
  ☆247Updated 3 years ago
• cdt15 / lingam
  Python package for causal discovery based on LiNGAM.
  ☆426Updated last week
• DoubleML / doubleml-for-py
  DoubleML - Double Machine Learning in Python
  ☆603Updated this week
• pymc-labs / CausalPy
  A Python package for causal inference in quasi-experimental settings
  ☆1,009Updated this week
• erdogant / bnlearn
  Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inf…
  ☆524Updated this week
• IntelLabs / causality-lab
  Causal discovery algorithms and tools for implementing new ones
  ☆221Updated 5 months ago
• salesforce / causalai
  Salesforce CausalAI Library: A Fast and Scalable framework for Causal Analysis of Time Series and Tabular Data
  ☆291Updated last month
• FenTechSolutions / CausalDiscoveryToolbox
  Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
  ☆1,181Updated last year
• rguo12 / awesome-causality-data
  A data index for learning causality.
  ☆468Updated last year
• py-why / dodiscover
  [Experimental] Global causal discovery algorithms
  ☆103Updated this week
• 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
• py-why / causal-learn
  Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
  ☆1,382Updated last week
• amit-sharma / causal-inference-tutorial
  Repository with code and slides for a tutorial on causal inference.
  ☆577Updated 5 years ago
• py-why / pywhyllm
  Experimental library integrating LLM capabilities to support causal analyses
  ☆213Updated 2 weeks ago
• cmu-phil / py-tetrad
  Makes algorithms/code in Tetrad available in Python via JPype
  ☆79Updated this week
• laurencium / Causalinference
  Causal Inference in Python
  ☆568Updated 4 years ago
• huawei-noah / trustworthyAI
  Trustworthy AI related projects
  ☆1,049Updated 3 weeks ago
• xunzheng / notears
  DAGs with NO TEARS: Continuous Optimization for Structure Learning
  ☆630Updated last year
• ijmbarr / causalgraphicalmodels
  Causal Graphical Models in Python
  ☆245Updated 2 years ago
• napsternxg / awesome-causality
  Resources related to causality
  ☆265Updated last year
• AliciaCurth / CATENets
  Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.
  ☆142Updated last year
• WillianFuks / tfcausalimpact
  Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
  ☆640Updated 5 months ago
• cmu-phil / example-causal-datasets
  Example causal datasets with consistent formatting and ground truth
  ☆84Updated 2 months ago
• AMLab-Amsterdam / CEVAE
  Causal Effect Inference with Deep Latent-Variable Models
  ☆342Updated 4 years ago
• AlxndrMlk / causality
  Notes, exercises and other materials related to causal inference, causal discovery and causal ML.
  ☆140Updated 10 months ago