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Researchers and developers building or simulating discrete-state Active Inference generative models in Python.
A Python implementation of Active Inference for partially observable Markov Decision Processes.
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pymdp is an open-source Python package for discrete-state (POMDP) Active Inference, widely used across the research community for building and simulating generative models. It is an external ecosystem implementation, distinct from the Institute's own projects, that the Institute references and builds learning materials around.
pymdp implements discrete-state Active Inference for partially observable Markov Decision Processes, and has been introduced to the community via a PubMed-indexed step-by-step tutorial. It is maintained by the infer-actively organization, led by Conor Heins, and is a foundational tool referenced across the Institute's Computational domain page and learning materials.
Contributions, issues, and discussion happen directly on the upstream GitHub repository; the Institute's Discord is a good place to find collaborators building on top of it.
Schlüsselflächen
Verwandte Ressourcen
Externe Links werden aus dem gemeinsamen Register aufgelöst, sodass zielgerichtete Bestimmungen zentralisiert und überprüfbar bleiben.
Audience: Newcomer
Primary public community channel for conversation, coordination, and newcomer orientation.
Audience: Researcher
Public ecosystem shortlink for Institute context, projects, activities, and conceptual maps.
Audience: Developer
Public GitHub organization for Institute repositories and open-source work.
Audience: Developer
Project repository for multiagent Active Inference modeling work.
Audience: Developer
Generalized Notation Notation project repository for model communication.
Audience: Developer
Geospatial modeling repository connected to ecological and bioregional applications.
Audience: Researcher
Research and publication-oriented repository for the Active Inference Journal.
Audience: Contributor
Public Project Preparation shortlink for making proposed work legible and actionable.
Audience: Contributor
Public project measurement shortlink for reporting progress and outputs.
Audience: Researcher
Public Active Inference Ontology shortlink for shared conceptual infrastructure.
Audience: Researcher
External paper repository surfaced from the official research page.
Audience: Researcher
Reachable arXiv reference surfaced from the official research page.
Offizielle Seiten
Audience: Contributor
Public projects shortlink for project directories and activity-linked work.
Audience: Contributor
Public project measurement shortlink for reporting progress and outputs.
Audience: Researcher
Public Active Inference Ontology shortlink for shared conceptual infrastructure.
Audience: Contributor
Public Project Preparation shortlink for making proposed work legible and actionable.
Audience: Researcher
Public Wave Hypothesis shortlink.
Repoziteure
Audience: Researcher
Computational meta-analysis of Active Inference literature with nanopublication and knowledge-graph outputs.
Audience: Researcher
Ontology-oriented repository for shared Active Inference concepts and decentralized science knowledge infrastructure.
Audience: Developer
Notebook-based applied Active Inference work connected to blockchain-adjacent and generative modeling examples.
Audience: Developer
Python models and materials for ant-inspired multiagent Active Inference.
Audience: Researcher
Active Inference & Category Theory
Audience: Researcher
Public content repository for the Active Inference Journal and related publication infrastructure.
Audience: Researcher
Active Entity Ontology for Science
Audience: Developer
Public ants repository in the ActiveInferenceInstitute GitHub namespace.