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
  ☆772Updated last month
• microsoft / showwhy
  ☆209Updated last year
• py-why / causaltune
  AutoML for causal inference.
  ☆221Updated 4 months ago
• microsoft / project-azua
  Data Efficient Decision Making
  ☆245Updated 2 years ago
• DoubleML / doubleml-for-py
  DoubleML - Double Machine Learning in Python
  ☆583Updated this week
• cdt15 / lingam
  Python package for causal discovery based on LiNGAM.
  ☆415Updated 2 months ago
• huawei-noah / trustworthyAI
  Trustworthy AI related projects
  ☆1,039Updated 2 months ago
• FenTechSolutions / CausalDiscoveryToolbox
  Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
  ☆1,173Updated last year
• jvpoulos / causal-ml
  Must-read papers and resources related to causal inference and machine (deep) learning
  ☆710Updated 2 years ago
• rguo12 / awesome-causality-data
  A data index for learning causality.
  ☆466Updated last year
• amit-sharma / causal-inference-tutorial
  Repository with code and slides for a tutorial on causal inference.
  ☆575Updated 5 years ago
• py-why / causal-learn
  Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
  ☆1,345Updated last month
• pymc-labs / CausalPy
  A Python package for causal inference in quasi-experimental settings
  ☆980Updated last week
• altdeep / causalML
  The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML
  ☆761Updated 9 months ago
• IntelLabs / causality-lab
  Causal discovery algorithms and tools for implementing new ones
  ☆218Updated 3 months ago
• salesforce / causalai
  Salesforce CausalAI Library: A Fast and Scalable framework for Causal Analysis of Time Series and Tabular Data
  ☆288Updated last week
• xunzheng / notears
  DAGs with NO TEARS: Continuous Optimization for Structure Learning
  ☆626Updated 11 months 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…
  ☆322Updated 6 months ago
• laurencium / Causalinference
  Causal Inference in Python
  ☆568Updated 4 years ago
• py-why / dodiscover
  [Experimental] Global causal discovery algorithms
  ☆100Updated 2 months ago
• cmu-phil / py-tetrad
  Makes algorithms/code in Tetrad available in Python via JPype
  ☆78Updated 2 weeks ago
• py-why / pywhyllm
  Experimental library integrating LLM capabilities to support causal analyses
  ☆187Updated 2 weeks ago
• microsoft / csuite
  CSuite: A Suite of Benchmark Datasets for Causality
  ☆67Updated 2 years ago
• PacktPublishing / Causal-Inference-and-Discovery-in-Python
  Causal Inference and Discovery in Python by Packt Publishing
  ☆873Updated this week
• jakobrunge / tigramite
  Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at
  ☆1,455Updated 4 months ago
• AlxndrMlk / causality
  Notes, exercises and other materials related to causal inference, causal discovery and causal ML.
  ☆137Updated 9 months ago
• M-Nauta / TCDF
  Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series
  ☆504Updated 3 years ago
• erdogant / bnlearn
  Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inf…
  ☆511Updated last week
• AliciaCurth / CATENets
  Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.
  ☆137Updated 10 months ago
• cmu-phil / example-causal-datasets
  Example causal datasets with consistent formatting and ground truth
  ☆83Updated last month