Search results
155 packages found
Neural networks in JavaScript
- ai
- artificial-intelligence
- brain
- brainjs
- brain.js
- feed forward
- neural network
- classifier
- neural
- network
- neural-networks
- machine-learning
- synapse
- recurrent
- View more
``` npm i b3-bnn ```
Stream processing framework for creating distributed data pipelines and autonomic neural networks
- action
- actor
- adaptive
- atomic
- automata
- autonomic
- autonomy
- dataflow
- datamodel
- distributed
- hive
- kinetic
- flow
- interface
- View more
Stream processing framework for creating distributed data pipelines and autonomic neural networks
- action
- actor
- adaptive
- atomic
- automata
- autonomic
- autonomy
- dataflow
- datamodel
- distributed
- hive
- kinetic
- flow
- interface
- View more
A tiny neural network for natural language detection.
NeuralGraph is an AI training data visualization tool that helps analyze and interpret training data for neural networks. It provides visualizations of loss and accuracy trends over epochs, allowing users to gain insights into the training process and ass
Asynchronous OpenCV 3.x / 4.x nodejs bindings with JavaScript and TypeScript API.
Normalize arbitrary lists of js objects into something you can feed to a machine learning algorithm.
Extract features | Compress data | Deep network variants
- ai
- neural
- network
- neural-network
- gpu
- accelerated
- gpu-accelerated
- autoencoder
- auto-encoder
- auto
- encoder
- decoder
- encoding
- decoding
- View more
CIFAR-10 data set for nodejs / browser
multilayer perceptron which can be trained using the backpropagation algorithm
prepare input and reverse output of the neural network library brain
Asynchronous OpenCV 3.x / 4.x nodejs bindings with JavaScript and TypeScript API.
Asynchronous OpenCV 4.x nodejs bindings with JavaScript and TypeScript API.
ConvNetJS is a Javascript implementation of Neural networks.
Multilayer Perceptron Neural Network written in ES6 programming language.
Fuzzy i/o grid for artificial learning applications
multilayer perceptron which can be trained using the backpropagation algorithm
A feed-forward neural network with injectable layers, activation functions, and optimizers.