A Go library for creating, training, and using multilayer perceptron neural networks.

Demo app for learning keras

Understanding neural network libraries and the automatic gradient computations (autograd) in the backward pass

Neural Network build from scratch in Python that can identify a polynomial from a point in the plane

Pytorch implementation of MLP, Convnet, AlexNet to predict on CIFAR dataset.

All standard machine learning algorithms from scratch in python 🐍

A Swift skeleton for neural nets and other important models in deep learning.

A simple implementation of a perceptron on sonar dataset using Python.

This is a Neural Network class I created in Python along with some test data.

Using a deep neural network to predict the outcome of a statistic-based combat system

Neural networks with dynamic topologies trained using a genetic algorithm

Contains various mini projects based on different machine learning algorithms.

Toy neural network

Implementação do algoritmo de redes neurais em python usando o numpy

Platform agnostic Core Python 3 based Library built upon corelib.io foundation. The emphasis of this project is to focus directly on the main pillars of A.I. including machine learning, computer vision, natural languages, reasoning and motion. Includes much of the underlying data, compute and network requirements for working with A.I..

Create simple neural networks in Go