ConvNetJS

ConvNetJS is a Javascript library for training Deep Learning models (Neural Networks) entirely in a browser.

18 Alternatives To ConvNetJS

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AWS Deep Learning AMIs

The AWS Deep Learning AMIs provide machine learning practitioners and researchers with the infrastructure and tools to accelerate deep learning in the cloud, at any scale.

Babel

Babel is a compiler for writing next generation JavaScript.
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BrainCore

BrainCore is a simple but fast neural network framework written in Swift.

Chainer

Chainer is a flexible and intuitive framework for Neural Networks.

Composer

Composer is a tool for dependency management in PHP.

Darknet

Darknet is an open source neural network framework written in C and CUDA.

DeepPy

DeepPy is a MIT licensed deep learning framework that tries to add a touch of zen to deep learning as it allows for Pythonic programming.
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Keras

Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

Knet

Knet is a deep learning framework that supports GPU operation and automatic differentiation using dynamic computational graphs for models.

MLKit

MLKit is a simple machine learning framework written in Swift.
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Merlin

Merlin is a deep learning framework written in Julia, it aims to provide a fast, flexible and compact deep learning library for machine learning.

Modernizr

Modernizr is a JavaScript library which is designed to detect HTML5 and CSS3 features in various browsers.
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React Native

A framework for building native apps with React
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RustNN

RustNN is a feedforward neural network library that generates fully connected multi-layer artificial neural networks that are trained via backpropagation.
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SHARK

See sharks everywhere with this AR app 🦈

Swift AI

Artificial intelligence and machine learning library written in Swift.
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TFlearn

TFlearn is a modular and transparent deep learning library built on top of Tensorflow.
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jQuery

The Write Less, Do More, JavaScript Library.