Implementation of deep implicit attention in PyTorch

Physics-inspired transformer modules based on mean-field dynamics of vector-spin models in JAX

Implementation of approximate free-energy minimization in PyTorch

Create a Hopfield Network for Image Reconstruction

Minimum Description Length Hopfield Networks

The optimisation of the Ising model on various coupling matrices with various methods

A Hopfield network to reconstruct patterns (numerical digits) and cope with noise.

This repository contains the code to reproduce the experiments performed in the Dynamical Mean-Field Theory of Self-Attention Neural Networks article.

Code for Computational Neuroscience course 2020/2021 @ UniPi

Hopfield networks for pattern recognition

Implement mạng Hopfield với Numpy

A practical comparison between Hopfield Networks and Restricted Boltzmann Machines as content-addressable autoassociative memories.