Genetic Algorithms for Go/Golang
This Genetic Algorithms library for Go/Golang provides a robust framework for implementing machine learning solutions. By leveraging user feedback, it enhances its functionality continuously. Developers can easily compile examples and experiment with various algorithms, making it an accessible tool for creating intelligent applications and optimizing problem-solving strategies in diverse domains.
Top Genetic Algorithms for Go/Golang Alternatives
Naive Bayesian Classifer in APL
The Naive Bayesian Classifier in APL offers an engaging exploration of probabilistic assumptions based on test inputs.
MILK
MILK is a versatile Python-based machine learning toolkit designed for supervised classification, featuring various classifiers such as SVMs, k-NN, and random forests.
MGL-GPR
MGL-GPR is an innovative machine learning software that leverages evolutionary algorithms, including Genetic Programming and Differential Evolution.
YCML
This machine learning and optimization framework provides an advanced solution for Objective-C and Swift developers on MacOS and iOS.
DecisionTree.jl
DecisionTree.jl offers a robust Julia implementation of Decision Tree (CART) and Random Forest algorithms, supporting various models like DecisionTreeClassifier and RandomForestRegressor.
rapaio
Rapaio offers a robust Java library designed for statistics, data mining, and machine learning.
Conjecture
It emphasizes flexibility, efficiently handling large datasets for applications like classification, ranking, and filtering...
yahmm
It offers functionalities for training and evaluating sequences, utilizing various algorithms like Baum-Welch and Viterbi...
Clojush
Designed for evolutionary computation, it excels in multi-core concurrency, enabling users to evolve programs that...
shaman
Users can choose between the Normal Equation and Gradient Descent for model training, with customizable...
TopicModels.jl
Primarily focused on Latent Dirichlet Allocation (LDA), it facilitates data manipulation and inference procedures, enabling...
Comportex
Based on the Numenta CLA white paper, this library emphasizes user-driven exploration of HTM...
KRKmeans-Algorithm
By effectively recovering trained models, it predicts patterns with precision, enhancing users' ability to analyze...
Ganitha
It integrates Mahout vectors for seamless usability, offering implementations of Naive-Bayes classifiers and K-Means clustering...
haskell-ml
It features a demonstration, where users can observe the training of a Hopfield network on...
