Deep active inference agents using Monte-Carlo methods

PyHGF: A neural network library for predictive coding

PyTorch library for Active Fine-Tuning

Official Implementation for the paper "SR-AIF: Solving Sparse-Reward Robotic Tasks from Pixels with Active Inference and World Models"

Implementation/simulation of active neural generative coding (ANGC) for training neurobiologically-plausible active inference agent models.

[NeurIPS 2021] Contrastive learning formulation of the active inference framework, for matching visual goal states.

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

Active inference agent and corresponding environment in Unity used in the study "A deep active inference model of the rubber-hand illusion"

Manuscript source: Self-orthogonalizing attractor neural networks emerging from the free energy principle

Archive of active inference agents based on reactive message passing.

Official implementation of paper "A neural active inference model of perceptual-motor learning" published on Computational Neuroscience in 2023.

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

A Bayesian cruise controller. A minimal model of velocity regulation for a block on a frictionless surface.

CogniRay is a differentiable geometric memory enabling real-time plasticity and semantic recall.