263 Open source projects that are alternatives of or similar to Gaft

Python implementations of some of the fundamental Machine Learning models and algorithms from scratch.

This repository belongs to the youtube videos "What are Genetic Algorithms" (https://youtu.be/uQj5UNhCPuo) and "Genetic Algorithm from Scratch in Python" (https://youtu.be/nhT56blfRpE). If you haven't seen it, please consider watching part one of this series, to get a better understanding of this code.

Tiny Genetic Programming in Python

Modern Fortran Edition of the Pikaia Genetic Algorithm

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

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Feature extraction algorithm for genomic data

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Statistical Machine Intelligence & Learning Engine

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In the coming weeks this plans to become a Gekko plugin that reacts to market changes, finding and running only the most profitable strategies.

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Simple genetic algorithms in Go

Julia implementation for various Frank-Wolfe and Conditional Gradient variants

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🦄 An Artificial Inteligence to teach Google's Dinosaur to jump cactus

🎯 Generate DNA sequences with specified amino acid, codon, and k-mer frequencies

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使用浅层神经网络和遗传算法训练一个可以自动驾驶小车的Demo

Jenetics - Genetic Algorithm, Genetic Programming, Evolutionary Algorithm, and Multi-objective Optimization

Iterated Racing for Automatic Algorithm Configuration

Optimizing a Wedding Reception Seating Chart Using a Genetic Algorithm

Implementation of the (beetle antennae search) BAS algorithm and its mutations in R code

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MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

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Code of the Performance Estimation Toolbox (PESTO) whose aim is to ease the access to the PEP methodology for performing worst-case analyses of first-order methods in convex and nonconvex optimization. The numerical worst-case analyses from PEP can be performed just by writting the algorithms just as you would implement them.

two soldiers shooting at each other, controlled by a neural network with a genetic algorithm.

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

Implementing Genetic Algorithm on K-Means and compare with K-Means++

A tour of different optimization algorithms in PyTorch.

This is the repository of codes written in class.

Genetic Algorithm for Flow Shop Scheduling

Wolfram Language interface to the Gurobi numerical optimization library

training snake game using neural network and genetic algorithm

Toy implementations of some popular ML optimizers using Python/JAX

Let's reproduce paper simulations of multi-robot systems, formation control, distributed optimization and cooperative manipulation.

Large scale convex optimization solvers in julia

智能算法-遗传算法、蚁群算法、粒子群算法实现。实现版本Java,Python,MatLab多版本实现

Visualization of various deep learning optimization algorithms using PyTorch automatic differentiation and optimizers.

A general-purpose pythonic genetic algorithm.

Using genetic algorithm and neural networks to teach AI to play flappy bird.

A Binary Genetic Traits Lexer Framework

OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions

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Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark.

A toolkit for testing control and planning algorithm for car racing.

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