C++ library for evolving neural networks with NEAT
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Updated
Jul 8, 2023 - C++
C++ library for evolving neural networks with NEAT
Sepehr's fork - check branches for original contributions and ongoing work
Framework through which, given the model of any system consisting of an environment and the underlying mechanisms governing the functionality of any individual agent, a swarm is allowed to evolve behaviour genetically through mutations in it's neural network.
Recognize Magic: The Gathering (MTG) cards in images by detecting and recognizing their names.
Evolving 2D drones to reach the target location with neural networks and genetic algorithms.
Simulador de Perceptron Multicamadas utilizando Arduino Uno
A basic neural network written in C++ that can calculate the expected output of an xor between two numbers.
Creating neural networks with employed backpropagation and logistic sigmoid activation functions, mirroring the intricate interconnectivity of the human brain's neurons, pivotal for pattern recognition and classification.
A basic C++ neural network
Automatically exported from code.google.com/p/neuralnethack
Neural Networks for learning with structured data types
Parallel Library of Artificial Neural Networks
A C++ toolkit for creating and training Deep Neural Nets on the CPU
In this project I have implemented the forward function of a Neural Network composed of sparsely connected layers. In order to parallelize the forward function I have built two implementation: one uses OpenMP and the other uses CUDA.
IdealNN is a simple Neural Network framework written in C++ that aims to provide pytorch-like APIs. The library is mainly intended for educational purposes to demystify the complexities.
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