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.

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

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

[NeurIPS 2021] World modelling and action learning using a contrastive formulation of the active inference framework, for reaching visual goal states

Cognitive science research workspace — Active Inference, Bayesian modeling, ant behavior, and computational neuroscience

PID-like control implemented as active inference with linear generative models

Deep Active Inference (Deep AIF) Agents

DIE — is an Artificial Life project aimed at reproducing emergence of distributed intelligence under environmental pressures using learning cellular automata models.

Active Inference & Category Theory

Homing Piegon is an inference framework implementing Variational Message Passing. It can be used to implement an Active Inference agent that performs planning using a Tree Search algorithm that can been seen as a form of Bayesian Model Expansion.