active-inference

PyHGF: A neural network library for predictive coding

Deep active inference agents using Monte-Carlo methods

PyTorch library for Active Fine-Tuning

A cognitive architecture that runs on your own machine. Internal state reaches generation through the model's activations, not the system prompt — and every consequential action leaves a receipt you can audit. Not an assistant. IIT 4.0 φ, CAA steering, 136 consciousness modules, local on Apple Silicon.

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.

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.

Methods for specifying, checking, typing, rendering, executing, analyzing, and visualizing state space models, for Active Inference and Beyond.

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.

Unofficial repo for materials and code related to "Fundamentals of Active Inference" (Namjoshi 2026).

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

MLSS-2026 Melbourne Bert's lectures

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.

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

GEO-INFER — a 44-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).