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

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

Minimum Description Length Hopfield Networks

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

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

Code for Computational Neuroscience course 2020/2021 @ UniPi

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

Hopfield networks for pattern recognition

Implement mạng Hopfield với Numpy