An auto generator of alternative representations for Bayesian Networks.
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Nov 23, 2018 - Python
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causal-networks
Here are 8 public repositories matching this topic...
Causal Abstraction of Neural Models Trained to Solve ReaSCAN
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Dec 3, 2021 - Python
Code accompanying my 2021 ASA SDSS paper
neural-network
neural-networks
causality
causality-analysis
causal-inference
merchandising
structural-equation-modeling
causal-models
directed-acyclic-graph
causal-networks
tensorflow-probability
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May 18, 2022 - Python
Investigation of network geometry and percolation in directed acyclic graphs (MSci Thesis). Maintained by Ariel Flint Ashery and Kevin Teo. Supervisor: Timothy Evans
network-topology
networks
directed-acyclic-graph
causal-networks
topological-phases
percolation-theory
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Apr 28, 2023 - Python
A Python package for learning and using causal networks via discrete geometry
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Apr 17, 2024 - Python
A Python library that helps data scientists to infer causation rather than observing correlation.
data-science
machine-learning
bayesian-inference
bayesian-networks
causal-inference
causal-models
causal-networks
causalnex
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Jun 26, 2024 - Python
A Python package for drug discovery by analyzing causal paths on multiscale networks
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Jul 1, 2024 - Python
Causing: CAUsal INterpretation using Graphs
python
graphs
automatic-differentiation
pytorch
neural-networks
graph-theory
derivatives
mediation-analysis
dag
causality-analysis
latent-variables
structural-equation-modeling
structural-analysis
effects-modeling
causal-networks
simultaneous-equation
gnn
do-calculus
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Oct 22, 2024 - Python
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