About pgmpy
pgmpy is a Python library for causal and probabilistic modeling using Bayesian Networks and related models. It provides a uniform API for building, learning, and analyzing models such as Bayesian Networks, Dynamic Bayesian Networks, Directed Acyclic Graphs(DAGs), and Structural Equation Models (SEMs). By integrating tools from both probabilistic inference and causal inference, pgmpy enables users to seamlessly transition between predictive and interventional analyses.
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pgmpy jobs: common questions
- Is pgmpy hiring right now?
- pgmpy has no open roles listed as of October 23, 2026. Roles appear here as soon as they are posted on pgmpy's careers site.
- How do I apply for a job at pgmpy?
- Pick a role on pgmpy's TheJobsMap page and select Apply. Every listing links to the original posting on pgmpy's own careers site, so you apply directly with the employer.