Alternatives and similar repositories for lingam

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

• cmu-phil / py-tetrad
  Makes algorithms/code in Tetrad available in Python via JPype
  ☆80Updated 2 weeks ago
• juangamella / ges
  Python implementation of the GES algorithm for causal discovery, from the 2002 paper "Optimal Structure Identification With Greedy Search…
  ☆59Updated 4 months ago
• BiomedSciAI / causallib
  A Python package for modular causal inference analysis and model evaluations
  ☆781Updated 3 months ago
• py-why / causal-learn
  Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
  ☆1,404Updated last week
• FenTechSolutions / CausalDiscoveryToolbox
  Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
  ☆1,183Updated last year
• bd2kccd / py-causal
  ☆205Updated 2 years ago
• py-why / dodiscover
  [Experimental] Global causal discovery algorithms
  ☆105Updated 2 weeks ago
• xunzheng / notears
  DAGs with NO TEARS: Continuous Optimization for Structure Learning
  ☆634Updated last year
• M-Nauta / TCDF
  Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series
  ☆508Updated 3 years ago
• erdogant / bnlearn
  Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inf…
  ☆526Updated this week
• microsoft / causica
  ☆495Updated 6 months ago
• IntelLabs / causality-lab
  Causal discovery algorithms and tools for implementing new ones
  ☆221Updated 5 months ago
• cmu-phil / example-causal-datasets
  Example causal datasets with consistent formatting and ground truth
  ☆86Updated 2 months ago
• wt-hu / pyCausalFS
  pyCausalFS：A Python Library of Causality-based Feature Selection for Causal Structure Learning and Classification
  ☆69Updated 4 years ago
• kevinsbello / dagma
  A Python 3 package for learning Bayesian Networks (DAGs) from data. Official implementation of the paper "DAGMA: Learning DAGs via M-matr…
  ☆120Updated last year
• iancovert / Neural-GC
  Granger causality discovery for neural networks.
  ☆222Updated 4 years ago
• jakobrunge / tigramite
  Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at
  ☆1,486Updated last week
• DoubleML / doubleml-for-py
  DoubleML - Double Machine Learning in Python
  ☆614Updated this week
• keiichishima / pcalg
  CPDAG Estimation using PC-Algorithm
  ☆96Updated 3 years ago
• huawei-noah / trustworthyAI
  Trustworthy AI related projects
  ☆1,053Updated last month
• jvpoulos / causal-ml
  Must-read papers and resources related to causal inference and machine (deep) learning
  ☆727Updated 2 years ago
• ckassaad / causal_discovery_for_time_series
  Causal discovery for time series
  ☆99Updated 3 years ago
• JakeColtman / bartpy
  Bayesian Additive Regression Trees For Python
  ☆230Updated last year
• cmu-phil / tetrad
  Repository for the Tetrad Project, www.phil.cmu.edu/tetrad.
  ☆425Updated this week
• rguo12 / awesome-causality-data
  A data index for learning causality.
  ☆471Updated last year
• yromano / cqr
  Conformalized Quantile Regression
  ☆279Updated 3 years ago
• Biwei-Huang / Causal-Discovery-from-Nonstationary-Heterogeneous-Data
  Causal Discovery from Nonstationary/Heterogeneous Data.
  ☆53Updated 4 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…
  ☆330Updated 8 months ago
• loeweX / AmortizedCausalDiscovery
  Code for the paper: Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data
  ☆216Updated 3 years ago
• kuiy / pyCausalFS
  An open-source package of causal feature selection and causal (Bayesian network) structure learning (Python version)
  ☆20Updated 4 years ago