TensorFlow™ is an open source software 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) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.
TANAGRA is a free DATA MINING software for academic and research purposes. It proposes several data mining methods from exploratory data analysis, statistical learning, machine learning and databases area.
The Talis Connected Commons scheme is intended to directly support the publishing and reuse of Linked Data in the public domain by removing the costs associated with those activities.
The scheme is intended to support a wide range of different forms of data publishing. For example scientific researchers seeking to share their research data; dissemination of public domain data from a variety of different charitable, public sector or volunteer organizations; open data enthusiasts compiling data sets to be shared with the web community.
For qualifying data sets, Talis will provide, through the Talis Platform:
* Free hosting of up to 50 million RDF triples and 10Gb of content
* Access to data access services that operate on that data, including data retrieval and text search
* Free access to a public SPARQL endpoint for each dataset.
This means that data set providers will not incur any of the commercial costs normally associated with hosting data on the Talis Platform. In addition neither the data set provider or its users will incur any usage charges relating to the use of the Platform services made available on that data.
To qualify for entry into the scheme all data and content hosted in the Platform must be made available under one of the following public domain data licenses:
* Open Data Commons Public Domain Dedication and License
* Creative Commons CC0
F. Suchanek, G. Kasneci, и G. Weikum. Proceedings of the 16th international conference on World Wide Web, стр. 697--706. New York, NY, USA, ACM, (2007)
J. Apel, F. Gebhart, L. Maylein, и M. Wlotzka. o-bib. Das offene Bibliotheksjournal / herausgegeben vom VDB, Bd. 5, Nr. 2 (2018), (2018)Citation Key: https://doi.org/10.5282/o-bib/2018h2s61-71
bibtexpublisher=o-bib. Das offene Bibliotheksjournal / herausgegeben vom VDB.