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TensorFlow - Artificial Intelligence Library from Google
TensorFlow is a library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) that flow between them. This flexible architecture lets you deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device without rewriting code.
artificial-intelligence neural-networks machine-learning deep-learning numerical-computationMXNet - A Deep Learning Framework
MXNet is an open-source deep learning framework that allows you to define, train, and deploy deep neural networks on a wide array of devices, from cloud infrastructure to mobile devices. It is highly scalable, allowing for fast model training, and supports a flexible programming model and multiple languages. MXNet allows you to mix symbolic and imperative programming flavors to maximize both efficiency and productivity.
deep-learning neural-networks artificial-intelligenceCNTK - Computational Network Toolkit (CNTK)
The Microsoft Cognitive Toolkit is a free, easy-to-use, open-source, commercial-grade toolkit that trains deep learning algorithms to learn like the human brain. It is a unified deep-learning toolkit that describes neural networks as a series of computational steps via a directed graph.
deep-learning neural-networks artificial-intelligencekeras - Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.
Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano. It was developed with a focus on enabling fast experimentation. Being able to go from idea to result with the least possible delay is key to doing good research.
deep-learning tensorflow theano neural-networks machine-learning data-scienceDeepSpeech - A TensorFlow implementation of Baidu's DeepSpeech architecture
Project DeepSpeech is an open source Speech-To-Text engine. It uses a model trained by machine learning techniques, based on Baidu's Deep Speech research paper. Project DeepSpeech uses Google's TensorFlow project to make the implementation easier.Pre-built binaries can be found on TaskCluster. You'll need to download native_client.tar.xz and the appropriate Python wheel package.
deep-learning machine-learning neural-networks tensorflow speech-recognition speech-to-textConvNetJS - Javascript implementation of Neural networks
ConvNetJS is a Javascript implementation of Neural networks, It currently supports Common Neural Network modules, Classification (SVM/Softmax) and Regression (L2) cost functions, A MagicNet class for fully automatic neural network learning (automatic hyperparameter search and cross-validatations), Ability to specify and train Convolutional Networks that process images, An experimental Reinforcement Learning module, based on Deep Q Learning.
artificial-intelligence neural-networks machine-learning deep-learningDeepDetect - Deep Learning Server
DeepDetect is an Instant Machine Learning for your Applications. It can classify images, text and numerical data from your application or the command line by series of simple calls to the deep learning server. A simple yet powerful and generic API for use of Machine Learning.
artificial-intelligence neural-networks machine-learning deep-learningCaffe - Deep Learning Framework from Berkley Vision
Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by the Berkeley Vision and Learning Center (BVLC) and by community contributors.
artificial-intelligence neural-networks machine-learning deep-learningH2O - Fast Scalable Machine Learning API For Smarter Applications
H2O is for data scientists and application developers who need fast, in-memory scalable machine learning for smarter applications. H2O is an open source parallel processing engine for machine learning. Unlike traditional analytics tools, H2O provides a combination of extraordinary math, a high performance parallel architecture, and unrivaled ease of use.
artificial-intelligence neural-networks machine-learning deep-learning numerical-computationAmazon DSSTNE: Deep Scalable Sparse Tensor Network Engine
DSSTNE (pronounced "Destiny") is an open source software library for training and deploying recommendation models with sparse inputs, fully connected hidden layers, and sparse outputs. Models with weight matrices that are too large for a single GPU can still be trained on a single host. DSSTNE has been used at Amazon to generate personalized product recommendations for our customers at Amazon's scale.
deep-learning neural-networks artificial-intelligence personalizationSonnet - Library built on top of TensorFlow for building complex neural networks
Sonnet is a library built on top of TensorFlow for building complex neural networks. The library uses an object-oriented approach, similar to Torch/NN, allowing modules to be created which define the forward pass of some computation. Modules are called with some input Tensors, which adds ops to the Graph and returns output Tensors.
neural-networks artificial-intelligence deep-learningApache Singa - Distributed Deep Learning Platform
SINGA is a distributed deep learning platform for big data analytics. It supports various deep learning models, and thus has the flexibility to allow users to customize the models that fit their business requirements. It provides a scalable architecture to train deep learning models from huge volumes of data and it makes the distributed training process transparent to users.
machine-learning artificial intelligence neural-networks distributedNeural Network Basic
Neural Network Basic contain implementation of simple and effective implementation of neural network. Functionality it is developed in C++ native programming language, with use STL and Visual Studio C++ Express 2010.
neural-network neural-networks