Alternatives and similar repositories for lingam:

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

• xunzheng / notears
  DAGs with NO TEARS: Continuous Optimization for Structure Learning
  ☆618Updated 9 months ago
• cmu-phil / py-tetrad
  Makes algorithms/code in Tetrad available in Python via JPype
  ☆71Updated this week
• BiomedSciAI / causallib
  A Python package for modular causal inference analysis and model evaluations
  ☆760Updated 7 months ago
• bd2kccd / py-causal
  ☆204Updated last year
• kevinsbello / dagma
  A Python 3 package for learning Bayesian Networks (DAGs) from data. Official implementation of the paper "DAGMA: Learning DAGs via M-matr…
  ☆113Updated last year
• juangamella / ges
  Python implementation of the GES algorithm for causal discovery, from the 2002 paper "Optimal Structure Identification With Greedy Search…
  ☆55Updated last week
• FenTechSolutions / CausalDiscoveryToolbox
  Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
  ☆1,161Updated 11 months ago
• keiichishima / pcalg
  CPDAG Estimation using PC-Algorithm
  ☆95Updated 2 years ago
• py-why / dodiscover
  [Experimental] Global causal discovery algorithms
  ☆98Updated last week
• rguo12 / awesome-causality-data
  A data index for learning causality.
  ☆461Updated last year
• erdogant / bnlearn
  Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inf…
  ☆502Updated last week
• M-Nauta / TCDF
  Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series
  ☆490Updated 3 years ago
• py-why / causal-learn
  Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
  ☆1,294Updated this week
• IntelLabs / causality-lab
  Causal discovery algorithms and tools for implementing new ones
  ☆214Updated last month
• cmu-phil / example-causal-datasets
  Example causal datasets with consistent formatting and ground truth
  ☆79Updated last year
• microsoft / causica
  ☆468Updated 2 months ago
• cmu-phil / tetrad
  Repository for the Tetrad Project, www.phil.cmu.edu/tetrad.
  ☆419Updated this week
• AliciaCurth / CATENets
  Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.
  ☆136Updated 8 months ago
• wt-hu / pyCausalFS
  pyCausalFS：A Python Library of Causality-based Feature Selection for Causal Structure Learning and Classification
  ☆68Updated 4 years ago
• jvpoulos / causal-ml
  Must-read papers and resources related to causal inference and machine (deep) learning
  ☆698Updated 2 years ago
• DoubleML / doubleml-for-py
  DoubleML - Double Machine Learning in Python
  ☆555Updated this week
• iancovert / Neural-GC
  Granger causality discovery for neural networks.
  ☆209Updated 4 years ago
• loeweX / AmortizedCausalDiscovery
  Code for the paper: Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data
  ☆208Updated 2 years ago
• DAMO-DI-ML / AAAI2022-HCM
  Source code of AAAI'22 paper: A Hybrid Causal Structure Learning Algorithm for Mixed-type Data
  ☆38Updated 2 years ago
• huawei-noah / trustworthyAI
  Trustworthy AI related projects
  ☆1,015Updated this week
• kuiy / CausalFS
  An open-source package of causal feature selection and causal (Bayesian network) structure learning (C/C++ version)
  ☆59Updated 4 years ago
• JakeColtman / bartpy
  Bayesian Additive Regression Trees For Python
  ☆223Updated last year
• py-why / causaltune
  AutoML for causal inference.
  ☆219Updated 2 months ago
• jakobrunge / tigramite
  Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at
  ☆1,424Updated 2 months ago
• claudiashi57 / dragonnet
  ☆262Updated 2 years ago