Search results
141 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
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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.
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
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
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CIFAR-10 data set for nodejs / browser
prepare input and reverse output of the neural network library brain
multilayer perceptron which can be trained using the backpropagation algorithm
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
Multilayer Perceptron Neural Network written in ES6 programming language.
Asynchronous OpenCV 3.x / 4.x nodejs bindings with JavaScript and TypeScript API.
Asynchronous OpenCV 4.x nodejs bindings with JavaScript and TypeScript API.
A feed-forward neural network with injectable layers, activation functions, and optimizers.
FANN (Fast Artificial Neural Network Library) bindings for Node.js
A implementation of an Artifical Neural Network with Backpropagation learning.
A feed-forward neural network with injectable layers, activation functions, and optimizers.
A GUI to test a neural network implementation based on the multilayer perceptron model.