Stereo-image depth reconstruction with different matching costs and matching algorithms in Python using Numpy and Numba

Embedder with binary sparse distributed representation.

Great team A_2111 project "COCONOMASK"

Lab experiments of Soft Computing Techniques

Two-player TicTacToe winner-takes-all with EOS stakes via smart contract

🥇Winner Take All Hash algorithm by J. Yagnik, implemented in Python.

Iterative winners-take-all algorithm

A collection of artificial neuron models. Written in Julia using Jupyter Notebooks

GUI for winner-take-all clustering implementation

CPU-based spiking neural network framework for classification layers employing first-spike coding and supervised STDP training.

A neuroscientific sequence learning model on spiking neural networks with winner-take-all circuits and lateral inhibition. Written using the NEST neural simulator and custom neuron/synapse models.

Pythorch implementation of Winner-Take-All Autoencoder

MATLAB code for training and simulating the chemical-based image classification network detailed in "Leveraging autocatalytic reactions for chemical-domain image classification"