BioTorch is a PyTorch framework specializing in biologically plausible learning algorithms

Neuromodulatory Control Networks (NCNs), a novel LLM architectural modification inspired by the neuromodulatory systems in the vertebrate brain.

PyTorch implementation of the paper "Spatio-Temporal Decoupled Learning for Spiking Neural Networks"

PyTorch implementation of the paper "Scaling Supervised Local Learning with Augmented Auxiliary Networks"

A Complete Toolbox for Adaptive and Hybrid Genetic Algorithms in R

Tasks for a college course titled Biologically Inspired Algorithms

A program working with its memory to design an algorithm

Direct Feedback Alignment on MNIST dataset implemented in TF2.0/Keras API

A collection of programming assignments from CSCI‑633: Biologically‑Inspired Intelligent Systems at the Rochester Institute of Technology.

Using BDI model to run multiple agents that have to compete against other opponents in a simulated world. The agents uses Ant Colony Optimization for pathfinding.