We would like to thank FLOSS/fund and Zerodha for the $10k donation to pgmpy. Announcement blogpost: https://lnkd.in/gk5ybUte #pgmpy #OpenSource #Python #CausalInference
About us
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.
- Website
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https://pgmpy.org/
External link for pgmpy
- Industry
- Software Development
- Company size
- 2-10 employees
- Type
- Nonprofit
- Founded
- 2014
- Specialties
- Causality, Bayesian Networks, Explainable AI, Causal Inference, and Simulations
Employees at pgmpy
Updates
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🌟 Join the pgmpy Reading Club! We’re excited to launch a new Reading Club as part of our Thursday Community Meeting series. This initiative is designed for beginners and enthusiasts who want to explore causal inference in an accessible, discussion driven format. For our first session, we’ll be diving into Chapter 1: The Ladder of Causation from Judea Pearl’s acclaimed book, The Book of Why. 💡 What to Expect • A guided discussion led by Aheli Poddar • Simple explanations for newcomers • Space to ask questions, share insights and connect with others learning causal inference • A welcoming community for anyone curious about probabilistic graphical models and reasoning under uncertainty 🗓️ Date: Thursday, 21st August 2025 ⏰ Time: 10:00 PM IST | 4:30 PM UTC 📍 Location: https://lnkd.in/dvKkSYVX Whether you’re a researcher, data scientist, student or just curious about why things happen, this is the perfect place to start. 🔗 Save the date, read the chapter and come ready to discuss! #pgmpy #CausalInference #GraphicalModels #MachineLearning #BookClub #ReadingClub #TheBookOfWhy #JudeaPearl #OpenSource #CommunityEvent
