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GraphPackage - Hama Wiki
"The graph package, called Angrapa, is an large-scale graph data management framework for analytical processing. It is still in heavy development. Angrapa will employ massive parallelism on Hadoop, and It aims to achieve the scalability for processing tera bytes or peta bytes graph data. Angrapa will be used in a variety of scientific and industrial areas, such as data mining, machine learning, information retrieval, bioinformatics, and social networks, required to process large-scale graph data. "
Welcome to the Open Relevance Project!
"The Open Relevance Project (ORP) is a new Apache Lucene sub-project aimed at making materials for doing relevance testing for Information Retrieval (IR), Machine Learning and Natural Language Processing (NLP) into open source.
Our initial focus is on creating collections, judgments, queries and tools for the Lucene ecosystem of projects (Lucene Java, Solr, Nutch, Mahout, etc.) that can be used to judge relevance in a free, repeatable manner. "
Networks, Crowds, and Markets: A Book by David Easley and Jon Kleinberg
"Networks, Crowds, and Markets combines different scientific perspectives in its approach to understanding networks and behavior. Drawing on ideas from economics, sociology, computing and information science, and applied mathematics, it describes the emerging field of study that is growing at the interface of all these areas, addressing fundamental questions about how the social, economic, and technological worlds are connected.
The book is based on an inter-disciplinary course entitled Networks that we teach at Cornell. The book, like the course, is designed at the introductory undergraduate level with no formal prerequisites. To support deeper explorations, most of the chapters are supplemented with optional advanced sections. "
ggplot2 Version of Figures in “Lattice: Multivariate Data Visualization with R” (Part 1) « Learning R
In order to give those interested an option to compare graphs produced by ggplot2 and lattice, I will attempt to recreate the book’s lattice graphs in ggplot2.
Welcome to PyOpenCL’s documentation! — PyOpenCL v0.2 documentation
OpenCL is a standard for parallel programming on heterogeneous devices including CPUs, GPUs, and others processors. It provides a common language C-like language for executing code on those devices, as well as APIs to setup the computations. PyOpenCL aims at being an easy to use Python wrapper around the OpenCL library.
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