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. 

TensorFlow - Artificial Intelligence Library from Google

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.
<BR>
H2O uses familiar interfaces like R, Python, Scala, the Flow notebook graphical interface, Excel, & JSON so that Big Data enthusiasts & experts can explore, munge, model, and score datasets using a range of algorithms including advanced ones like Deep Learning. H2O is extensible so that developers can add data transformations and model algorithms of their choice and access them through all of those clients.

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.

H2O - Fast Scalable Machine Learning API For Smarter Applications

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.


DeepDetect - Deep Learning Server

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.


ConvNetJS - Javascript implementation of Neural networks

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. 

Caffe - Deep Learning Framework from Berkley Vision

Discover open source projects across all platforms

Projects

TensorFlow - Artificial Intelligence Library from Google

H2O - Fast Scalable Machine Learning API For Smarter Applications

DeepDetect - Deep Learning Server

ConvNetJS - Javascript implementation of Neural networks

Caffe - Deep Learning Framework from Berkley Vision

TechStack

Tagcloud

License

Suggested keywords:

Projects

TensorFlow - Artificial Intelligence Library from Google

H2O - Fast Scalable Machine Learning API For Smarter Applications

DeepDetect - Deep Learning Server

ConvNetJS - Javascript implementation of Neural networks

Caffe - Deep Learning Framework from Berkley Vision

TechStack

Tagcloud

License