In this repository you'll find the scripts that I have created for my Bachelor Thesis .
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Updated
Jun 2, 2024 - Python
In this repository you'll find the scripts that I have created for my Bachelor Thesis .
Implement Bernd Klauer's MHD (Masked Hamming Distance) Associative Memory (more or less) in Rust -- building on Huonw's excellent "hamming" crate.
associative memory in mixed reality
Sparse Associative Memory (SAM)
a demo of the hopfield network
Checkpoints for PyTorch implementation of IJCAI 2020 paper Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal Learning of Deep Spiking Neural Network
Associative maps built on top of the AVL tree for C programming language
This Repository contains scratch implementation of Soft Computing Lab practicals
Hopfield model for T=0 and finite T.
hclust_mix is a Python script that allows the identification of attractor states from gene expression matrices using Hopfield neural networks.
Simulation code for simulations run in my PhD
Publications by Peter Overmann
Minimum Description Length Hopfield Networks
Source-codes and examples of quaternion-valued recurrent projection neural networks on unit quaternions
Open Source C++ Library for Pseudo-inverse Fully Connected Recurrent Neural Networks (from my PhD)
Recurrent predictive coding networks for associative memory employing covariance learning
PyTorch implementation of IJCAI 2020 paper Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal Learning of Deep Spiking Neural Network
[ICML 2024] Uniform Memory Retrieval with Larger Capacity for Modern Hopfield Models
Implementation of Hopfield Neural Network in Python based on Hebbian Learning Algorithm
This repository contains the official code for Energy Transformer---an efficient Energy-based Transformer variant for graph classification
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