EVDodgeNet: Deep Dynamic Obstacle Dodging with event cameras

ROS driver for Prophesee event-based sensors

Sample Code Collection of Nature-Inspired Computational Methods

Official PyTorch implementation of paper "A Hybrid Compact Neural Architecture for Visual Place Recognition" by M. Chancán (RA-L & ICRA 2020) https://doi.org/10.1109/LRA.2020.2967324

GapFlyt: Active Vision Based Minimalist Structure-less Gap Detection For Quadrotor Flight

Octopus: Block-Level GPU Scheduling for Variable-Length Batches

Symbolic XAI explainable machine learning & non-linear regression platform for MATLAB

A flexible, fast and scalable python library for Self-Organizing Maps

Implementing several variants of the Butterfly Optimization Algorithm to solve global optimization problems

Black Widow Optimization implemented in pure Python.

Official code base for NeurIPS 2021 SVRHM Workshop poster "On the use of Cortical Magnification and Saccades as Biological Proxies for Data Augmentation"

a novel object-oriented approach to the artificial neural networks inspired by synaptic plasticity between biological neurons

[NeurIPS 2025] SPICED: A Synaptic Homeostasis-Inspired Framework for Unsupervised Continual EEG Decoding

Biomimetic Control of an Artificial Finger for Rehabilitation Robotics Using Shape Memory Alloy Actuators.

Harmony Search Hub Location Allocation Optimization Problem

Artificial Neural Networks visualization for IT3708@NTNU

Weevil Damage Optimization Algorithm (WDOA)

Bio-inspired cognitive architecture for personal AI agents. Memory lifecycle, dream consolidation, affect detection, self-reflection, spreading activation, proactive intelligence. 7 LLM providers, 9 channels, $0.06-0.10/day. OpenClaw-compatible.

This project is an interactive visualization that explores the fascinating world of emergent behaviors and self-organizing systems. Inspired by the remarkable abilities of Physarum polycephalum (slime mold), this simulation demonstrates how complex patterns can arise from simple, decentralized decision-making processes.

This research project investigated Bio-Inspired Neural Network capabilities and State-of-the-Art implementations. As an experiment, it uses ViZDoom; a Doom-based AI Research Platform for Reinforcement Learning from Raw Visual Information.