A list for people interested in open access, open data and open content in the cultural heritage sector. See https://openglam.org/ for more info about this community.
Benutzen Sie folgende Adresse, um die Listen-Besitzer zu kontaktieren: open-glam-owner@lists.wikimedia.org
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.
M-Lab provides the largest collection of open Internet performance data on the planet. As a consortium of research, industry, and public-interest partners, M-Lab is dedicated to providing an ecosystem for the open, verifiable measurement of global network performance. Real science requires verifiable processes, and M-Lab welcomes scientific collaboration and scrutiny. This is why all of the data collected by M-Lab’s global measurement platform are made openly available, and all of the measurement tools hosted by M-Lab are open source. Anyone with time and skill can review and improve the underlying methodologies and assumptions on which M-Lab’s platform, tools, and data rely. Transparency and review are key to good science, and good science is key to good measurement.
H. Mekky, F. Hao, S. Mukherjee, Z. Zhang, and T. Lakshman. Proceedings of the Third Workshop on Hot Topics in Software Defined
Networking, page 13--18. New York, NY, USA, ACM, (2014)
R. Jäschke, and S. Rudolph. Contributions to the 11th International Conference on Formal Concept Analysis, page 19--34. Technische Universität Dresden, (May 2013)
R. Jäschke, and S. Rudolph. Contributions to the 11th International Conference on Formal Concept Analysis, page 19--34. Technische Universität Dresden, (May 2013)
F. Suchanek, G. Kasneci, and G. Weikum. Proceedings of the 16th international conference on World Wide Web, page 697--706. New York, NY, USA, ACM, (2007)