Open Source C++ Library for Pseudo-inverse Fully Connected Recurrent Neural Networks (from my PhD)

This Repository contains scratch implementation of Soft Computing Lab practicals

Associative maps built on top of the AVL tree for C programming language

a demo of the hopfield network

Implementation of Hopfield Neural Network in Python based on Hebbian Learning Algorithm

Source-codes and examples of quaternion-valued recurrent projection neural networks on unit quaternions

associative memory in mixed reality

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

Implement Bernd Klauer's MHD (Masked Hamming Distance) Associative Memory (more or less) in Rust -- building on Huonw's excellent "hamming" crate.

Implementation of deep implicit attention in PyTorch

Publications by Peter Overmann

Checkpoints for PyTorch implementation of IJCAI 2020 paper Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal Learning of Deep Spiking Neural Network

PyTorch implementation of IJCAI 2020 paper Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal Learning of Deep Spiking Neural Network

Hopfield model for T=0 and finite T.

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.

Recurrent predictive coding networks for associative memory employing covariance learning

Minimum Description Length Hopfield Networks

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

Holistic system for storage and transformation of information based on associative model of data. Целостная система для хранения и обработки информации, основанная на ассоциативной модели данных.