Multi-class averaged perceptron
A simple perceptron written in Javascript
A functional perceptron
Perceptron MCP server for high-accuracy visual perception powered by fast, efficient vision-language models
Multilayer Perceptron Neural Network written in ES6 programming language.
A linear classifier with the averaged perceptron algorithm
Javascript perceptron
A small multilayer perceptron library for educational purposes
Perceptron library written in TypeScript
Visualizer for Perceptron written using D3v4
Two simple Perceptron implementations.
Simple multi-layer perceptron implemented in a functional style with typescript and node
multilayer perceptron which can be trained using the backpropagation algorithm
multilayer perceptron which can be trained using the backpropagation algorithm
perceptron-generator on rescript
A GUI to test a neural network implementation based on the multilayer perceptron model.
A Simple JavaScript Implementation of the Perceptron Algorithm
Create, train, test and compare perceptron neural networks
感知器是一个逐渐演化的机器学习包
A perceptron neuron that simply recognizes differences.
Library made in Angular version 20
Deep learning library for Node.js. (includes MLP, RBM, DBN, CRBM, CDBN)
A implementation of an Artifical Neural Network with Backpropagation learning.
Maxim Deblurring model for UpscalerJS. Deblur images with AI using Javascript
A super fast online learning library using perceptron
Rust SDK for Perceptron models
first rust learning crate
Expression tree, automatic gradients, neural networks, layers and perceptrons.
A Freestanding, Zero dependency AI/ML library written in Rust with maximum portability.
A toy neural network library for educational purposes
Neural network libary
Simple Neural Network
A neural network library written in Rust
NLTK-inspired parts-of-speech tagger
Training loops, loss composition, and optimization schedules for TensorLogic
Underthesea Core
A reusable perceptron implementation written in ruby from scratch.
A port of the brain.js library, implementing a multilayer perceptron - a neural network for supervised learning.
Database backed Multi-Layer Perceptron Neural Network in Ruby
Multi-Layer Perceptron Neural Network in Ruby
Multi-Layer Perceptron Neural Network in Ruby(remake of reddavis' project by BEaStia)"
Database backed Multi-Layer Perceptron Neural Network in Ruby
Implementation of fundamental types of neural networks which includes multilayer perceptron, Kohonen net and Hopfield net.
Rumale::NeuralNetwork provides classifiers and regression algorithms based on multi-layer perceptron, radial basis function network, and random vector functional link network in the Rumale interface.
Rumale is a machine learning library in Ruby. Rumale provides machine learning algorithms with interfaces similar to Scikit-Learn in Python. Rumale supports Support Vector Machine, Logistic Regression, Ridge, Lasso, Multi-layer Perceptron, Naive Bayes, Decision Tree, Gradient Tree Boosting, Random Forest, K-Means, Gaussian Mixture Model, DBSCAN, Spectral Clustering, Mutidimensional Scaling, t-SNE, Fisher Discriminant Analysis, Neighbourhood Component Analysis, Principal Component Analysis, Non-negative Matrix Factorization, and many other algorithms.
Library to create neural networks. Features perceptron, MLP, and deep feed forward networks. Uses a logistic squash function.
Sabina is a machine learning library. This gem provides tools for Multi-Layer Perceptrons and Auto-Encoders.
This is a simple machine learning library written in Ruby. It provides implementations of linear regression and multiclass perceptron and visualization and validation methods to verify results. Also included are helper methods to work with training and testing data.
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