558 Open source projects that are alternatives of or similar to GARI

Neural Networks in Java 8 with CuDNN and Aparapi

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No description or website provided.

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NEATEST: Evolving Neural Networks Through Augmenting Topologies with Evolution Strategy Training

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Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

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A 2D Unity simulation in which cars learn to navigate themselves through different courses. The cars are steered by a feedforward neural network. The weights of the network are trained using a modified genetic algorithm.

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Screen{shot,cast} and perform ImageOps on the command line 🌱 🏞️

This repository explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply…

IMEI - ImageMagick Easy Install

A metaheuristic optimization framework

A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

Go evolutionary algorithm is a computer library for developing evolutionary and genetic algorithms to solve optimisation problems with (or not) many constraints and many objectives. Also, a goal is to handle mixed-type representations (reals and integers).

Evolutionary & genetic algorithms for Julia

Finding an optimal Blackjack strategy using AI

Source codes for HHO paper: Harris hawks optimization: Algorithm and applications: https://www.sciencedirect.com/science/article/pii/S0167739X18313530. In this paper, a novel population-based, nature-inspired optimization paradigm is proposed, which is called Harris Hawks Optimizer (HHO).

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A general-purpose pythonic genetic algorithm.

A neuromechanical model of adult Drosophila melanogaster.

I/O operations for OME-TIFF files in Julia

PyTorch implementations of recent optimization algorithms for deep learning.

Building and training artificial neural networks (regression or classification) using the genetic algorithm.

Sample Code Collection of Nature-Inspired Computational Methods

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This is the repository of codes written in class.

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This package is the implementation of a one-phase interior point method that finds KKT points of nonconvex optimization problems.

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