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
  ☆809Updated 10 months ago
• salesforce / causalai
  Salesforce CausalAI Library: A Fast and Scalable framework for Causal Analysis of Time Series and Tabular Data
  ☆313Updated 9 months ago
• py-why / causaltune
  AutoML for causal inference.
  ☆235Updated last year
• microsoft / project-azua
  Data Efficient Decision Making
  ☆250Updated 3 years ago
• DoubleML / doubleml-for-py
  DoubleML - Double Machine Learning in Python
  ☆704Updated this week
• jvpoulos / causal-ml
  Must-read papers and resources related to causal inference and machine (deep) learning
  ☆750Updated 3 years ago
• cdt15 / lingam
  Python package for causal discovery based on LiNGAM.
  ☆471Updated last week
• microsoft / showwhy
  ☆219Updated last month
• cmu-phil / example-causal-datasets
  Example causal datasets with consistent formatting and ground truth
  ☆105Updated 9 months ago
• altdeep / causalAI
  The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalAI
  ☆788Updated 2 months ago
• py-why / dodiscover
  [Experimental] Global causal discovery algorithms
  ☆112Updated 2 weeks ago
• rguo12 / awesome-causality-data
  A data index for learning causality.
  ☆483Updated 2 years ago
• IntelLabs / causality-lab
  Causal discovery algorithms and tools for implementing new ones
  ☆245Updated 6 months ago
• py-why / pywhyllm
  Experimental library integrating LLM capabilities to support causal analyses
  ☆287Updated last month
• cmu-phil / py-tetrad
  Makes algorithms/code in Tetrad available in Python via JPype
  ☆91Updated last week
• py-why / causal-learn
  Causal Discovery in Python. Learning causality from data.
  ☆1,546Updated last month
• 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…
  ☆345Updated last year
• FenTechSolutions / CausalDiscoveryToolbox
  Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
  ☆1,218Updated 3 months ago
• amit-sharma / causal-inference-tutorial
  Repository with code and slides for a tutorial on causal inference.
  ☆582Updated 6 years ago
• erdogant / bnlearn
  Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inf…
  ☆599Updated last month
• pymc-labs / CausalPy
  A Python package for causal inference in quasi-experimental settings
  ☆1,098Updated this week
• AliciaCurth / CATENets
  Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.
  ☆154Updated last year
• AlxndrMlk / causality
  Notes, exercises and other materials related to causal inference, causal discovery and causal ML.
  ☆162Updated last month
• huawei-noah / trustworthyAI
  Trustworthy AI related projects
  ☆1,103Updated 2 months ago
• microsoft / csuite
  CSuite: A Suite of Benchmark Datasets for Causality
  ☆82Updated 2 years ago
• xunzheng / notears
  DAGs with NO TEARS: Continuous Optimization for Structure Learning
  ☆668Updated last year
• M-Nauta / TCDF
  Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series
  ☆528Updated 4 years ago
• msuzen / looper
  A resource list for causality in statistics, data science and physics
  ☆267Updated last week
• bradyneal / realcause
  Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…
  ☆86Updated 4 years ago
• laurencium / Causalinference
  Causal Inference in Python
  ☆576Updated 7 months ago