NGC-Learn: Neurobiological Learning and Biomimetic Systems Simulation in Python

PyHGF: A neural network library for predictive coding

EIGen: Evolutionary Illusion Generator, based on predictive coding.

Implementation/simulation of the predictive forward-forward credit assignment algorithm for training neurobiologically-plausible recurrent neural network models.

Flexible Inference for Predictive Coding Networks in JAX.

This repository has implementations of various alternatives to backpropagation for training neural networks.

Code from paper High-throughput Onboard Hyperspectral Image Compression with Ground-based CNN Reconstruction

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

We introduce Local recurrent Predictive coding model termed as Parallel temporal Neural Coding Network. Unlike classical RNNs, our model is pure local and doesn't require computing gradients backward in time; thus computationally more efficient compared to BPTT and can be used for online learning

Predictive coding networks for temporal prediction

Generalized Predictive Coding in Torch

Deep Predictive Coding Network (PredNet) implemented with Chainer

Predictive coding for sequential memory

LineRWKV predictive compression of hyperspectral images

predictive coding-based RL. both Active Neural Generative Coding and Prospective Configuration

Code implementation for the paper "Relating Human Perception of Musicality to Prediction in a Predictive Coding Model"

NGC-Learn: Predictive Coding and Neurobiologically-Motivated Learning in Python

Implementation of Neural Generative Coding

Models for predicting fMRI data associated with the Algonauts 2021 challenge (http://algonauts.csail.mit.edu).

Approximate Natural Gradient Descent with precision weighted predictive coding