bio-inspired

EVDodgeNet: Deep Dynamic Obstacle Dodging with event cameras

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

An AI agent framework built on a cat's biological blueprint. Define your organs, wire their nerves, and the cat comes alive.

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

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

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

Black Widow Optimization implemented in pure Python.

Bio-inspired cognitive architecture for LLM agents providing embodied sensation, homeostatic drives, and brain-modeled persistent memory enable cross-session learning without fine-tuning. Works with robots like the Reachy Mini or headless.

Artificial Neural Networks visualization for IT3708@NTNU

aNA (Autonomous Neural Architecture) AI Project: A bio-inspired cognitive framework focused on targeted plasticity, energy sobriety, and the elegance of living mechanisms.

Repositório dedicado ao estudo e implementação de algoritmos genéticos (e possivelmente outros tópicos sobre computação bio inspirada)! 🌱

Arachne is a bio-inspired project based on RaspberryPi and programmed in Python.

An implementation of a simulation of a bee colony

Automatic sklearn parameter tuning with bio-inspired algorithms

Implementation of a simple genetic algorithm, with some examples as function minimization, TSP, and art.

An adaptive event signal processing system that uses causal spatiotemporal filtering to regulate event density and suppress noise in DVS streams.

Bio-inspired optimization pipeline for Claude Code. 3 systems: Slime Mold (explore→prune) → PRISM (perspectives→compile) → Immune (scan→correct→learn). Domain-agnostic.

Zero-training entropy agent beats DeepMind's trained RL on Melting Pot social dilemmas. 350 lines of NumPy, no neural networks, no reward. DOI: 10.5281/zenodo.18717202