4 results found Sort:

mckinsey
causalnex mckinsey
259
2.3k
other
52
A Python library that helps data scientists to infer causation rather than observing correlation.
causalnex data-science causal-models causal-networks causal-inference machine-learning bayesian-networks bayesian-inference
Created 2019-12-12
226 commits to develop branch, last one 10 months ago
erdogant
bnlearn erdogant
46
490
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 about a month ago
msuzen
looper msuzen
34
257
unknown
13
A resource list for causality in statistics, data science and physics
causal physics causality causation statistics data-science causal-impact causal-models meta-learning causal-networks causal-discovery causal-inference machine-learning bayesian-inference causality-analysis statistical-physics causality-algorithms statistical-inference statistical-mechanics causal-machine-learning
Created 2018-01-04
240 commits to master branch, last one 14 days ago
realrate
Causing realrate
9
56
mit
5
Causing: CAUsal INterpretation using Graphs
dag gnn graphs python pytorch derivatives do-calculus graph-theory causal-networks neural-networks effects-modeling latent-variables causality-analysis mediation-analysis structural-analysis simultaneous-equation automatic-differentiation structural-equation-modeling
Created 2020-05-25
440 commits to develop branch, last one about a month ago