Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
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Updated
Sep 18, 2024 - Python
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
YLearn, a pun of "learn why", is a python package for causal inference
Python package for causal discovery based on LiNGAM.
Code for the paper: Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data
Estimating Copula Entropy (Mutual Information), Transfer Entropy (Conditional Mutual Information), and the statistics for multivariate normality test and two-sample test, and change point detection in Python
Official code of "Discovering Invariant Rationales for Graph Neural Networks" (ICLR 2022)
A Python 3 package for learning Bayesian Networks (DAGs) from data. Official implementation of the paper "DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization"
Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"
A Snakemake workflow to run and benchmark structure learning (a.k.a. causal discovery) algorithms for probabilistic graphical models.
Amortized Inference for Causal Structure Learning, NeurIPS 2022
Active Bayesian Causal Inference (Neurips'22)
DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks
Toolkit of Causal Model-based Reinforcement Learning.
Causal discovery made easy.
ACRE: Abstract Causal REasoning Beyond Covariation
Official implementation for NeurIPS23 paper: Causal Discovery from Subsampled Time Series with Proxy Variable
Implementations of var-sortability, sortnregress, and chain-orientation as presented in the article "Beware of the Simulated DAG": https://arxiv.org/abs/2102.13647.
[TMLR23] FedDAG: Federated DAG Structure Learning
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