PyHGF: A neural network library for predictive coding
A mind built around a local 27B model on one Mac: lasting memory, affect and drives, offline Wikipedia, voice and screen, procedures she writes and keeps, and a receipt for every consequential action. Claims are preregistered and failures stay in the record. Activation steering is built, not yet qualified for user turns.
PyTorch library for Active Fine-Tuning
Deep active inference agents using Monte-Carlo methods
Official Implementation for the paper "SR-AIF: Solving Sparse-Reward Robotic Tasks from Pixels with Active Inference and World Models"
Anima: an experimental cognitive architecture that models internal state, conflict, and decision-making. Uses LLMs as an interface, not as the core.
Transcripts, metadata, captions, and translations from the Active Inference Institute's video library — a structured, source-namespaced dataset generated by Journal-Utilities.
Unofficial repo for materials and code related to "Fundamentals of Active Inference" (Namjoshi 2026).
Methods for specifying, checking, typing, rendering, executing, analyzing, and visualizing state space models, for Active Inference and Beyond.
CPU-oriented Python library for discrete Active Inference experiments in radCAD and cadCAD: deterministic grid worlds, multi-agent transitions, generative-model helpers, and fail-closed validation.
Multi-language Active Inference framework combining ant-colony-optimization-inspired multi-agent simulation with variational message passing, implemented across 50 programming languages for research and benchmarking.
MLSS-2026 Melbourne Bert's lectures
Implementation/simulation of active neural generative coding (ANGC) for training neurobiologically-plausible active inference agent models.
Manuscript source: Self-orthogonalizing attractor neural networks emerging from the free energy principle
Knowledge base and Python package for discrete and continuous Active Inference: generative models, expected free energy, POMDP simulation, and an executable manuscript with reproducible validation commands.
GEO-INFER — a 45-module geospatial inference monorepo from the Active Inference Institute. Spatial analysis, active inference, domain modeling, agent workflows, and reproducible repository validation in one uv/Python workspace (H3, Bayesian models, place & risk).
Cognitive ecosystem framework pairing Active Inference agent models with an Obsidian-compatible markdown knowledge graph — generates executable Python from markdown specs, runs multi-agent simulations, and auto-validates probabilistic constraints.
A controlled vocabulary of 429 Active Inference and Free Energy Principle terms, published as a structured, versioned source with deterministic JSON/CSV exports and a browsable site.
[NeurIPS 2021] World modelling and action learning using a contrastive formulation of the active inference framework, for reaching visual goal states
CEREBRUM: Case-Enabled Reasoning Engine with Bayesian Representations for Unified Modeling
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