11 results found Sort:

pgmpy
pgmpy pgmpy
720
2.8k
mit
77
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
python inference simulations causal-discovery causal-inference bayesian-networks structure-learning causal-identification
Created 2013-09-20
3,076 commits to dev branch, last one 13 hours ago
erdogant
bnlearn erdogant
47
497
other
9
Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.
dag causal python causal-models causal-networks machine-learning sampling-methods bayesian-inference causality-analysis parameter-learning structure-learning directed-acyclic-graph
Created 2020-01-01
983 commits to master branch, last one 3 months ago
aimclub
BAMT aimclub
18
125
bsd-3-clause
10
Repository of a data modeling and analysis tool based on Bayesian networks
mixed-data synthetic-data bayesian-networks structure-learning parameters-learning
Created 2020-06-08
364 commits to master branch, last one 3 months ago
kevinsbello
dagma kevinsbello
19
110
apache-2.0
3
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"
dags neurips-2022 causal-discovery graphical-models bayesian-networks structure-learning
Created 2022-10-31
109 commits to main branch, last one about a year ago
py-why
dodiscover py-why
18
96
mit
7
[Experimental] Global causal discovery algorithms
graphs python causality causal-inference structure-learning
Created 2022-08-03
105 commits to main branch, last one 2 months ago
phlippe
ENCO phlippe
15
82
other
3
Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"
pytorch causality causal-discovery structure-learning
Created 2021-07-21
10 commits to main branch, last one 2 years ago
probsys
AutoGP.jl probsys
5
67
apache-2.0
4
Automated Bayesian model discovery for time series data
icml forecasting times-series gaussian-process machine-learning bayesian-inference structure-learning
Created 2023-02-17
105 commits to main branch, last one 12 days ago
felixleopoldo
benchpress felixleopoldo
16
67
gpl-2.0
4
Scalable open-source software to run, develop, and benchmark causal discovery algorithms
causality benchmarking causal-models markov-networks causal-discovery graphical-models machine-learning bayesian-networks snakemake-workflow structure-learning reproducible-research
Created 2020-01-15
1,622 commits to master branch, last one about a month ago
aimclub
GOLEM aimclub
8
63
bsd-3-clause
3
Graph Optimiser for Learning and Evolution of Models
ai dag graph-learning structure-learning genetic-programming evolutionary-optimization
Created 2022-10-24
172 commits to main branch, last one about a month ago
larslorch
avici larslorch
9
62
mit
2
Amortized Inference for Causal Structure Learning, NeurIPS 2022
causality transformers causal-discovery causal-inference structure-learning amortized-inference variational-inference
Created 2022-10-11
44 commits to main branch, last one 28 days ago
larslorch
dibs larslorch
11
47
mit
3
DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021
causal-inference bayesian-networks bayesian-inference structure-learning variational-inference
Created 2021-08-17
68 commits to master branch, last one 11 months ago