11 results found Sort:

pgmpy
pgmpy pgmpy
695
2.6k
mit
74
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 directed-acyclic-graph probabilistic-graphical-models
Created 2013-09-20
2,970 commits to dev branch, last one 2 days ago
erdogant
bnlearn erdogant
45
451
other
8
Python library for learning the graphical structure of Bayesian networks, parameter learning, inference and 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
898 commits to master branch, last one about a month ago
aimclub
BAMT aimclub
17
116
bsd-3-clause
9
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
348 commits to master branch, last one 9 days ago
kevinsbello
dagma kevinsbello
19
81
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 5 months ago
phlippe
ENCO phlippe
15
77
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 about a year ago
py-why
dodiscover py-why
15
73
mit
6
[Experimental] Global causal discovery algorithms
graphs python causality causal-inference structure-learning
Created 2022-08-03
95 commits to main branch, last one 9 months ago
felixleopoldo
benchpress felixleopoldo
16
61
gpl-2.0
5
A Snakemake workflow to run and benchmark structure learning (a.k.a. causal discovery) algorithms for probabilistic graphical models.
causality benchmarking causal-models markov-networks causal-discovery graphical-models machine-learning bayesian-networks snakemake-workflow structure-learning reproducible-research
Created 2020-01-15
1,439 commits to master branch, last one 2 days ago
aimclub
GOLEM aimclub
6
55
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
169 commits to main branch, last one 22 days ago
probsys
AutoGP.jl probsys
5
54
apache-2.0
5
Automated Bayesian model discovery for time series data
icml forecasting times-series gaussian-process machine-learning bayesian-inference structure-learning
Created 2023-02-17
80 commits to main branch, last one 5 months ago
larslorch
avici larslorch
5
48
mit
1
Amortized Inference for Causal Structure Learning, NeurIPS 2022
causality transformers causal-discovery causal-inference structure-learning amortized-inference variational-inference
Created 2022-10-11
29 commits to main branch, last one 3 months ago
larslorch
dibs larslorch
11
43
mit
4
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 4 months ago