A Python framework that implements a wide variety of State-of-the-art Nature-Inspired algorithms, in path planning applications.
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Updated
Aug 13, 2024 - Jupyter Notebook
A Python framework that implements a wide variety of State-of-the-art Nature-Inspired algorithms, in path planning applications.
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.
A flexible, fast and scalable python library for Self-Organizing Maps
Optimization of an Up-scalable Graph Neural Network based on the C. Elegans Connectome Nervous System
An implementation of a simulation of a bee colony
Pytorch Implementation, Experiments and Exploration of Biologically Plausible Neural Networks as a final project of CLPS1291 @ Brown
ROS driver for Prophesee event-based sensors
Arachne is a bio-inspired project based on RaspberryPi and programmed in Python.
This folder contains the Matlab scripts of a new nature-inspired metaheuristic optimization algorithm called the red-tailed hawk algorithm (RTH). Link to the paper: https://www.nature.com/articles/s41598-023-38778-3
Sample Code Collection of Nature-Inspired Computational Methods
Official code base for NeurIPS 2021 SVRHM Workshop poster "On the use of Cortical Magnification and Saccades as Biological Proxies for Data Augmentation"
Biomimetic Control of an Artificial Finger for Rehabilitation Robotics Using Shape Memory Alloy Actuators.
Dynamic Distribution-driven Backpropagation Learning
This assignment is developed with ROS packages which has a survilance scenario with GAZEBO WITH MOBILE MANIPULATOR
Utilizing Stack Genetic Programming to solve a symbolic regression problem
Weevil Damage Optimization Algorithm (WDOA)
Crowdsourced experiment on bio-inpired interfaces for automated vehicles.
Black Widow Optimization implemented in pure Python.
Implementing several variants of the Butterfly Optimization Algorithm to solve global optimization problems
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