Top 10 Artificial Neural Network Software in 2019

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Most Popular - Artificial Neural Network Software in 2019


Keras is a neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.; Keras is a neural networks library, written in Python and capable of running on top of either T... Learn more about - Keras

The AWS Deep Learning AMIs is designed to equip data scientists, machine learning practitioners, and research scientists with the infrastructure and tools to accelerate work in deep learning, in the cloud, at any... Learn more about - AWS Deep Learning AMIs

Mocha is a Deep Learning framework for Julia, inspired by the C++ framework Caffe that is efficient implementations of general stochastic gradient solvers and common layers, it could be used to train deep / shall... Learn more about - Mocha

Clarifai offers a suite of tools that make it easy for anyone to quickly and accurately train, customize, and use machine learning-powered image and video recognition in their products.; Clarifai offers a suite o... Learn more about - Clarifai

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 based on NumPy's ndarray,has a small and easily extensible codebase, runs o... Learn more about - DeepPy

TFlearn is a modular and transparent deep learning library built on top of Tensorflow that provide a higher-level API to TensorFlow in order to facilitate and speed-up experimentations, while remaining fully tran... Learn more about - TFLearn

ConvNetJS is a Javascript library for training Deep Learning models (Neural Networks) entirely in a browser.; ConvNetJS is a Javascript library for training Deep Learning models (Neural Networks) entirely in a br... Learn more about - ConvNetJS

brain is a JavaScript neural network library to recognize color contrast.; brain is a JavaScript neural network library to recognize color contrast.... Learn more about - brain

NVIDIA Deep Learning GPU Training System (DIGITS) deep learning for data science and research to quickly design deep neural network (DNN) for image classification and object detection tasks using real-time networ... Learn more about - Deep Learning GPU Training System (DIGITS)

julia-ann is the implementation of backpropagation artificial neural networks in Julia that allow users to build multilayer networks and accept DataFrames as inputs. fit! and predict currently require Float64 mat... Learn more about - julia-ann

Knet (pronounced "kay-net") is a deep learning framework implemented in Julia that allows the definition and training of machine learning models using the full power and expressivity of Julia.; Knet (pronounced "... Learn more about - Knet

BrainCore is a neural network framework written in Swift that uses Metal which makes it fast.; BrainCore is a neural network framework written in Swift that uses Metal which makes it fast.... Learn more about - BrainCore

Cortex is a neural networks, regression and feature learning in Clojure.; Cortex is a neural networks, regression and feature learning in Clojure.... Learn more about - Cortex

cuda-convnet2 is a fast C++/CUDA implementation of convolutional (or more generally, feed-forward) neural networks that can model arbitrary layer connectivity and network depth, any directed acyclic graph of laye... Learn more about - cuda-convnet2

NeuralTalk2 is an Efficient Image Captioning code in Torch that runs on GPU; NeuralTalk2 is an Efficient Image Captioning code in Torch that runs on GPU... Learn more about - NeuralTalk2

Swift Brain is a neural network / machine learning library written in Swift for AI algorithms in Swift for iOS and OS X development it includes algorithms focused on Bayes theorem, neural networks, SVMs, Matrices... Learn more about - Swift Brain

Torch is a scientific computing framework with wide support for machine learning algorithms that puts GPUs first.; Torch is a scientific computing framework with wide support for machine learning algorithms that ... Learn more about - Torch

BackpropNeuralNet.jl is a neural network in Julia that initialize a network of 2 inputs, 1 hidden layer with 3 neurons, and 2 outputs.; BackpropNeuralNet.jl is a neural network in Julia that initialize a network ... Learn more about - BackpropNeuralNet.jl

BPN-NeuralNetwork is a Machine Learning that implemented 3 layers ( Input Layer, Hidden Layer and Output Layer ) neural network and implemented Back Propagation Neural Network (BPN), QuickProp theory and Kecman's... Learn more about - BPN-NeuralNetwork

Chainer is a powerful, flexible, and intuitive framework of neural networks that bridge the gap between algorithms and implementations.; Chainer is a powerful, flexible, and intuitive framework of neural networks... Learn more about - Chainer

Darknet is an open source neural network framework written in C and CUDA that supports CPU and GPU computation.; Darknet is an open source neural network framework written in C and CUDA that supports CPU and GPU ... Learn more about - Darknet

deeplearn-rs is a deep learning in rust that can be used to build trainable matrix compptation graphs that are configurable at runtime.; deeplearn-rs is a deep learning in rust that can be used to build trainable... Learn more about - deeplearn-rs

gobrain is a neural networks written in go that includes just basic Neural Network functions such as Feed Forward and Elman Recurrent Neural Network.; gobrain is a neural networks written in go that includes just... Learn more about - gobrain

GoNN is an implementation of Neural Network in Go Language, which includes BPNN, RBF, PCN; GoNN is an implementation of Neural Network in Go Language, which includes BPNN, RBF, PCN... Learn more about - GoNN

Hebel is a library for deep learning with neural networks in Python using GPU acceleration with CUDA through PyCUDA that implements the important types of neural network models and offers a variety of different a... Learn more about - Hebel

HNN

HNN (stands for Haskell Neural Network library) is an attempt at providing a simple but powerful and efficient library to deal with feed-forward neural networks in Haskell.; HNN (stands for Haskell Neural Network... Learn more about - HNN

Hopfield Networks are a simple form of neutral network, that can be understood as a simplified model of memory.; Hopfield Networks are a simple form of neutral network, that can be understood as a simplified mode... Learn more about - Hopfield Networks

LambdaNet is an artificial neural network library written in Haskell that abstracts network creation, training, and use as higher order functions, it provides a framework in which users can: quickly iterate throu... Learn more about - LambdaNet

Lasagne is a lightweight library to build and train neural networks in Theano.; Lasagne is a lightweight library to build and train neural networks in Theano.... Learn more about - Lasagne

MGL

MGL is a Common Lisp machine learning library that concentrates on various forms of neural networks (boltzmann machines, feed-forward and recurrent backprop nets).; MGL is a Common Lisp machine learning library t... Learn more about - MGL

MLPNeuralNet is a fast multilayer perceptron neural network library for iOS and Mac OS X that predicts new examples through trained neural networks, it is built on top of Apple's Accelerate Framework using vector... Learn more about - MLPNeuralNet

Multi-Perceptron-NeuralNetwor is a Machine Learning that implemented multi-layer perceptrons neural network (MLP)and Back Propagation Neural Network (BPN), it designed unlimited hidden layers to do the training t... Learn more about - Multi-Perceptron-NeuralNetwork

neon is Nervana's Python-based deep learning library that provides ease of use while delivering the highest performance.; neon is Nervana's Python-based deep learning library that provides ease of use while deliv... Learn more about - neon

NeuralN is a powerful Neural Network for Node.js with multiple advantages compared to existing solutions it works with extra large datasets (>1Go allowed by nodejs) and Multi-Threaded training available.; NeuralN... Learn more about - NeuralN

Neurolab is a simple and powerful Neural Network Library for Python that contains based neural networks, train algorithms and flexible framework to create and explore other neural network types.; Neurolab is a si... Learn more about - Neurolab

ANN is a Python class for time series prediction it is a family of mathematical models inspired by biological neural networks, wich are used to estimate or approximate functions that can't be estimate analyticall... Learn more about - Neuron

Neuroph is lightweight Java neural network framework that develop common neural network architectures, it contains well designed, open source Java library with small number of basic classes which correspond to ba... Learn more about - Neuroph

nnet is a software for feed-forward neural networks with a single hidden layer, and for multinomial log-linear models.; nnet is a software for feed-forward neural networks with a single hidden layer, and for mult... Learn more about - nnet

RSNNS is a Neural Networks in R using the Stuttgart Neural Network Simulator (SNNS) a library containing many standard implementations of neural networks, this package wraps the SNNS functionality to make it avai... Learn more about - RSNNS

RustNN is a feedforward neural network library that generates fully connected multi-layer artificial neural networks that are trained via backpropagation.; RustNN is a feedforward neural network library that gene... Learn more about - RustNN

uKit AI is a AI web design made to offer free design and technology upgrades in minutes.; uKit AI is a AI web design made to offer free design and technology upgrades in minutes.... Learn more about - uKit AI

5Analytics helps enable companies to integrate, deploy and monitor their machine learning in a scalable, repeatable manner.; 5Analytics helps enable companies to integrate, deploy and monitor their machine learni... Learn more about - 5Analytics

AForge.Neuro is a namespace that contains interfaces and classes for neural networks computation, the namespace and its sub namespaces contain classes, which allow as creating of popular neural network architectu... Learn more about - AForge.Neuro

APEX is an AI-enhanced technology platform intended to provide solutions for your business end to end. With APEX you gain access to the same powerful AI capabilities and tools used by the tech unicorns at a fract... Learn more about - AI Platform APEX

AIToolbox is a toolbox of AI modules written in Swift: Graphs/Trees, Linear Regression, Support Vector Machines, Neural Networks, PCA, KMeans, Genetic Algorithms, MDP, Mixture of Gaussians, Logistic Regression; A... Learn more about - AIToolbox

Allspark is an AI framework designed to automate manual repetitive processes based on unstructured text data like invoices, contracts and emails.; Allspark is an AI framework designed to automate manual repetitiv... Learn more about - Allspark

NeuroIntelligence is a neural networks software application designed to assist neural network, data mining, pattern recognition, and predictive modeling experts in solving real-world problems. NeuroIntelligence f... Learn more about - Alyuda NeuroIntelligence

Autobox adjusts for interventions like outliers, seasonal pulses, level shifts, local time trends, variance & parameters changes. Only Autobox adjusts the model for lead and lag relationships automatically!; Auto... Learn more about - Automatic Forecasting Systems

Deeplearning4j is the first commercial-grade, open-source, distributed deep-learning library written for Java and Scala it integrated with Hadoop and Spark, to be used in business environments on distributed GPUs... Learn more about - Deeplearning4J

DeepLearningKit is an open source Deep Learning Framework for Apple's iOS, OS X & tvOS. Developed in Swift & Metal (GPU acceleration).; DeepLearningKit is an open source Deep Learning Framework for Apple's iOS, O... Learn more about - DeepLearningKit

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