Popular GitHub Repositories for Perceptrons

Applied artificial intelligence in Godot game engine

A comparison between humans, neuroevolution and multilayer perceptrons playing Flapy Bird implemented in Python

Exploring QSAR Models for Activity-Cliff Prediction

Implementation for paper MLP-Mixer: An all-MLP Architecture for Vision. MLP-Mixer, an architecture based exclusively on multi-layer perceptrons (MLPs). MLP-Mixer contains two types of layers: one with MLPs applied independently to image patches (i.e. "mixing" the per-location features), and one with MLPs applied across patches (i.e. "mixing" spatial information).

Automatic method for the recognition of hand gestures for the categorization of vowels and numbers in Colombian sign language based on Neural Networks (Perceptrons), Support Vector Machine and K-Nearest Neighbor for classifier /// Método automático para el reconocimiento de gestos de mano para la categorización de vocales y números en lenguaje de se?as colombiano basado en redes neuronales (perceptrones), soporte de máquina vectorial y K-vecino más cercano para clasificador

Implementing standard econometric models using Stochastic Gradient Descent and Perceptrons instead of MLE and GMM.

My implementation of Multi-layer Perceptron Neural Networks for Artificial Intelligence

This project applies Multi-Layer Perceptrons (MLPs) using PyTorch to predict patient no-shows for medical appointments. We preprocess the dataset, optimize MLP architectures, and enhance prediction accuracy through advanced techniques.

Automates the optimization of Multi-Layer Perceptrons using Genetic Algorithms in PyTorch for classification on MNIST dataset

An attempt to make a generator of microtonal music using Markov chains and perceptrons. Project abandoned due to lack of time and datasets

This repository focuses on the Neural Networks and deep learning. It is a workbook you can refer it for a reference. I'll Include following content here: Neurons, perceptrons, weight and biases, learning rate, activation form, hyper parameters, RNN, CNN and other popular concepts.

Tests I am performing on a Python package for building residual multi - layer perceptrons and tandem [any model] -> ResMLPs models, useful for effective transfer learning. A pypi package should be coming soon.

Tweet Sentiment Classification using Multi Layer Perceptrons. This repository provides my solution for the 3rd Assignment for the course of Text Analytics for the MSc in Data Science at Athens University of Economics and Business.