SaaS Metrics
Probabilistic Modeling Expansion
Bayesian Network
AI Synthesis & Market Narrative
Bayesian Networks are gaining traction with new open-source libraries for learning, sampling, and visualization, indicating broader adoption in complex data analysis. Financial services are actively integrating these probabilistic models for responsible AI and MLOps, while medical research utilizes them for understanding comorbidity associations.
Correlated Linguistic Patterns
["Discrete Bayesian network learning
sampling
and visualization"
"modular discrete Bayesian-network library"
"graph ML"
"mental health service utilization and diabetes-hypertension comorbidity"]
Driving Media Context
Frontiers | Association between mental health service utilization and diabetes-hypertension comorbidity: a community-based study
ObjectiveTo examine the association between mental health service (MHS) utilization and diabetes–hypertension (DM–HTN) comorbidity and to explore the roles o...
bayes-nets 0.1.0
Discrete Bayesian network learning, sampling, and visualization
Determining optimal practices for foal weaning – A protocol for a systematic review and network meta-analysis
Background Weaning is a stressful time in a foal’s (Equus caballus) life. As humans artificially manage weaning in domestic horses, it provides an opportunit...
probability-flow 0.4.0
A from-scratch, modular discrete Bayesian-network library.
Santander AI Open Source
Open source AI projects from Banco Santander AI Lab. Responsible AI, MLOps, graph ML and LLM evaluation for financial services. Apache-2.0. PRs welcome. - Sa...
pyhgf: A neural network library for predictive coding
Author summary Many theories of brain function propose that perception and learning arise from Bayesian inference, in which the brain continuously updates be...
Traffic condition prediction for highway within work zones under dynamic traffic organization changes
In the context of sustainable transportation development, reducing carbon emissions, energy waste, and noise pollution caused by traffic congestion has becom...
probability-flow 0.3.0
A from-scratch, modular discrete Bayesian-network library.
probability-flow 0.2.0
A from-scratch, modular discrete Bayesian-network library.
probability-flow 0.1.0
A from-scratch, modular discrete Bayesian-network library.