PyPi Package of Self-Organizing Recurrent Neural Networks (SORN) and Neuro-robotics using OpenAI Gym

A private Java lab for Artificial General Intelligence

A collaborative repository for our Bachelor's thesis, focused on optimizing the Cell Outage Compensation (COC) algorithm in Self-Organizing Networks (SONs). Leveraging AI-Hardware Acceleration, the project aims to bolster 5G network reliability, particularly for emerging technologies like autonomous driving.

📘 dimensionality reduction algorithms

A very basic C++ code for developing a self-organizing map (SOM) for data clustering (No GUI Visualization)

PyPi package of Reward-Modulated Self Organizing Recurrent Neural Network

Glial-inspired ANN algorithm for unsupervised classification and zero-shot prediction of nonstationary dynamics. Based on dynamical systems theory with a bit of simplicial homotopy theory. Preprint of the manuscript available in the URL.

An effort to build an unsupervised plastic model that replicates the way we learn and categorise.

Self-organizing distributed system, that supports failure of up to 2 nodes at the same time.

Native Java implementation of a self-organizing network (SON) for clustering.

A simulation of kohonen self organizing map with neural weights and robotic arm

Criticality analysis on complex networks using Power-law scaling functions, exponential relations, and phase transitions

NS3 - SON COC Code

Les cartes topologiques ou auto-organisatrices font partie de la famille des modèles dits à «apprentissage non supervisé», c’est-à-dire qui s’appliquent sur des données dont on connaît le domaine sur lequel porte le recueil statistique, mais pour lesquelles les connaissances a priori ne sont pas totalement organisées., les données en groupements…