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Janos Haits

Top 8 open source AI technologies in machine learning | Opensource.com - 0 views

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    "Take your machine learning to the next level with these artificial intelligence technologies."
Janos Haits

OpenCog - 1 views

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    Here at OpenCog, we're creating an open source Artificial General Intelligence framework, intended to one day express general intelligence at the human level and beyond.
Janos Haits

http://www.swi-prolog.org/ - 1 views

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    "WI-Prolog offers a comprehensive free Prolog environment. Since its start in 1987, SWI-Prolog development has been driven by the needs of real world applications. SWI-Prolog is widely used in research and education as well as commercial applications. Join over a million users who have downloaded SWI-Prolog."
Janos Haits

Numenta | NuPIC - 1 views

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    Numenta.org Platform for Intelligent Computing The mission of this project is to build and support a community interested in machine learning and machine intelligence based on modeling the neocortex and the principles upon which it works.
Janos Haits

OpenCyc.org - 1 views

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    OpenCyc is back and better than ever! OpenCyc 2.0 is now available for download from SourceForge. You can also download OWL versions of the OpenCyc ontology, or search for and access OpenCyc content on the semantic web, accessing Cyc concepts via their URIs, at sw.opencyc.org.
Janos Haits

Home - TensorFlow - 0 views

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    "TensorFlow is an Open Source Software Library for Machine Intelligence"
Janos Haits

PyTorch - 0 views

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    "An open source machine learning framework that accelerates the path from research prototyping to production deployment."
Janos Haits

OpenAI Gym - 0 views

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    "OpenAI Gym BETA A toolkit for developing and comparing reinforcement learning algorithms. It supports teaching agents everything from walking to playing games like Pong or Go."
Janos Haits

TensorFlow -- an Open Source Software Library for Machine Intelligence - 1 views

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    "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 devel"
Janos Haits

Mycroft - 1 views

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    "Connecting the Internet of things has never been easier Keep in mind that though the process below looks complex, it all takes place in just a few seconds."
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