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A flexible and efficient library for deep learning
Apache MXNet is an open source deep learning framework designed for efficient and flexible research prototyping and production. It contains a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations. On top of this is a graph optimization layer, overall making MXNet highly efficient yet still portable, lightweight and scalable.
An open infrastructure software to facilitate radiomics research.
This web page is not guaranteed to have the latest versions.
The latest stand-alone version can be downloaded at
http://bit.ly/IBEX_MDAnderson
The latest source-code version can be downloaded at
http://bit.ly/IBEXSrc_MDAnderson
IBEX (imaging biomarker explorer) is an open
infrastructure software platform that flexibly supports common radiomics workflow tasks such as
multimodality image data import and review, development of feature extraction algorithms, model
validation,...
Cognity is an object-oriented neural network library for Java. It's goal is to provide easy-to-use, high level architecture for neural network computations along with reasonable performance.
A fully customizable, extensible, scalable computational engine pluggable with various statistical and mathematical engines (R, Matlab, Octave, scilab...) The main focus and datatype considered is timeseries: the project contains also a portable and effi
Inventors: Validate Your Idea, Protect It and Gain Market Advantages
SenseIP is ideal for individual inventors, startups, and businesses
senseIP is an AI innovation platform for inventors, automating any aspect of IP from the moment you have an idea. You can have it researched for uniqueness and protected; quickly and effortlessly, without expensive attorneys. Built for business success while securing your competitive edge.
JStatCom is a software framework that facilitates the creation of JAVA programs for data based analysis tasks in various domains. It provides ways to call routines from specialized software packages, like Matlab, Gauss, Ox, and possibly others.
Design and develop Recommendation and Adaptive Prediction Engines to address eCommerce opportunities. Build a portfolio of engines by creating and porting algorithms from multiple disciplines to a usable form. Try to solve NetFlix and other challenges.