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
This repository contains the code to reproduce the experiments performed in the Dynamical Mean-Field Theory of Self-Attention Neural Networks article.
Minimum Description Length Hopfield Networks
A Hopfield network to reconstruct patterns (numerical digits) and cope with noise.
Code for Computational Neuroscience course 2020/2021 @ UniPi
Hopfield networks for pattern recognition
A practical comparison between Hopfield Networks and Restricted Boltzmann Machines as content-addressable autoassociative memories.
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