Simulation code for simulations run in my PhD
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Updated
Mar 1, 2021 - Python
Simulation code for simulations run in my PhD
Implement Bernd Klauer's MHD (Masked Hamming Distance) Associative Memory (more or less) in Rust -- building on Huonw's excellent "hamming" crate.
Recurrent predictive coding networks for associative memory employing covariance learning
Minimum Description Length Hopfield Networks
a demo of the hopfield network
PyTorch implementation of IJCAI 2020 paper Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal Learning of Deep Spiking Neural Network
Checkpoints for PyTorch implementation of IJCAI 2020 paper Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal Learning of Deep Spiking Neural Network
Uniform Memory Retrieval with Larger Capacity for Modern Hopfield Models
Hopfield model for T=0 and finite T.
Publications by Peter Overmann
hclust_mix is a Python script that allows the identification of attractor states from gene expression matrices using Hopfield neural networks.
Open Source C++ Library for Pseudo-inverse Fully Connected Recurrent Neural Networks (from my PhD)
Associative maps built on top of the AVL tree for C programming language
This repository contains the official code for Energy Transformer---an efficient Energy-based Transformer variant for graph classification
Physics-inspired transformer modules based on mean-field dynamics of vector-spin models in JAX
Source-codes and examples of quaternion-valued recurrent projection neural networks on unit quaternions
associative memory in mixed reality
This Repository contains scratch implementation of Soft Computing Lab practicals
Sparse Associative Memory (SAM)
Implementation of deep implicit attention in PyTorch
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