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associative-memory

Here are 10 public repositories matching this topic...

SergioMedinaNieto / Hopfield-Network

In this repository you'll find the scripts that I have created for my Bachelor Thesis .

neural-networks hopfield-network associative-memory

Updated Jun 2, 2024
Python

pretidav / hopfield

Hopfield model for T=0 and finite T.

neural-network hopfield-network associative-memory statistical-physics phase-transition

Updated Oct 18, 2022
Python

alxndrdiaz / hclust_mix

hclust_mix is a Python script that allows the identification of attractor states from gene expression matrices using Hopfield neural networks.

transcriptomics associative-memory hopfield-neural-network

Updated Oct 3, 2020
Python

sanjayankur31 / Sinha2016

Simulation code for simulations run in my PhD

computational-neuroscience associative-memory nest-simulator cortical-network structural-plasticity peripheral-lesioning

Updated Mar 1, 2021
Python

matanabudy / mdl-hn

Minimum Description Length Hopfield Networks

hopfield-network associative-memory kolmogorov-complexity hopfield minimum-description-length hopfield-neural-network hopfield-networks

Updated Nov 16, 2023
Python

MAGICS-LAB / UHop

[ICML 2024] Uniform Memory Retrieval with Larger Capacity for Modern Hopfield Models

hopfield-network associative-memory hopfield memory-capacity network-capacity modern-hopfield-networks modern-hopfield-model sparse-hopfield hopfield-model generalized-sparse-hopfield

Updated Jun 3, 2024
Python

Lemon-cmd / energy-transformer-graph

This repository contains the official code for Energy Transformer---an efficient Energy-based Transformer variant for graph classification

deep-learning neural-network transformer associative-memory hopfield energy-based-model jax graph-neural-networks efficient-transformers energy-transformer

Updated Jan 28, 2024
Python

mcbal / spin-model-transformers

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

deep-learning transformers artificial-intelligence statistical-mechanics neural-networks attention-mechanism associative-memory statistical-physics ising-spin-models mean-field-theory partition-functions fixed-point-iteration time-evolution hopfield-networks spin-models non-equilibrium-dynamics vector-spin-models spin-glasses near-equilibrium-dynamics

Updated Dec 10, 2023
Python

mcbal / deep-implicit-attention

Implementation of deep implicit attention in PyTorch

deep-learning transformers artificial-intelligence neural-networks boltzmann-machines attention-mechanism associative-memory statistical-physics ising-spin-models mean-field-theory hopfield-networks implicit-layers deep-equilibrium-models

Updated Aug 2, 2021
Python

glassroom / heinsen_routing

Reference implementation of "An Algorithm for Routing Vectors in Sequences" (Heinsen, 2022) and "An Algorithm for Routing Capsules in All Domains" (Heinsen, 2019), for composing deep neural networks.

deep-learning paper pytorch routing-algorithm associative-memory capsule-network capsules em-routing vector-routing dense-associative-memory society-of-mind

Updated Apr 13, 2023
Python

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