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.
Supercluster Network is a special kind of Artifical Neural Network that can contain astronomic amount of neurons and learn in a sudden.
Self-Organizing Maps in python
a novel object-oriented approach to the artificial neural networks inspired by synaptic plasticity between biological neurons
Black Widow Optimization implemented in pure Python.
A simple, zero-dependency Particle Swarm Optimization library.
Automatic sklearn parameter tuning with bio-inspired algorithms