Search Results for "open source tv" - Page 85
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Showing 3381 open source projects for "open source tv"
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Soar is a general cognitive architecture for developing systems that exhibit intelligent behavior. Researchers all over the world, both from the fields of artificial intelligence and cognitive science, are using Soar for a variety of tasks.
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rIDE is an IDE aimed at beginners, meant for use mainly in classrooms. It supports C++, Python, Prolog, Lisp, Whitespace, and LOLCODE, with syntax highlighting and quick-compile for each.
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A compact compiled templating language in Python which implements just about the features of TAL, METAL together with Zope's i18n extensions and whose aims are simplicity, full test coverage and complete documentation.
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"Yet Another Do-It-Yourself (Test) Automation Framework" specification. Use or modify one of the existing software implementations (hosted/referenced here), or implement the framework yourself. Download and read the spec for more details.
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Our goal is to develop a full working solver for ATA (with 1 clock) in Python, with MTL to ATA support. The decidability for the emptiness problem was proposed by Lasota and Walukiewicz. The MTL to ATA was proposed by Ouaknine and Worrell.
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NeuroKiwi is the application of the Associative Model (AM, previously dubbed AMDroid), being a model storing relational change-detections. The application tries to emulate ground-up knowledge accumulation with limited or no prior knowledge of shapes or patterns.
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Simple Windows GUI automation with Python. No pre-recording or window capture needed before use - just code and run :-)
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PythoidC is a C language for Python programmers and PythonWin IDE. PythoidC is braceless, whitespace sensitive, self-documenting, Introspectable. PythoidC is runnable inline with Python. PythoidC can be translated to C code and compiled in TCC, GCC, VC++
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Petaapan is exploring the opportunities that multi-touch displays present. Initially we are looking at tools to support agile development to provide a concrete target for the investigations.
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ODic stands for "Options Dictionary" and aims at creating standards for easier command line tool creation. At the moment it is focused on the 'odic' python module including new design patterns for python main functions.
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A univariate and multivariate analysis UI. This project is no longer under development. Please use as you wish.
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The project is currently in Daubney simple text editor in the future code editor with advanced plug-in lighting system code, code completion and much more.. WE MOVED ON - http://github.com/onlyshk/Incedit
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A message passing library addressing the special needs/capabilities of Qt applications. The basic building block for classic 3-tier applications where both client and server are Qt applications.
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A python module for ultra simple handling of configuration files. Also useful for human readable data persistence. Flexible and simple. Source and issue tracking now at: https://github.com/DiffSK/configobj
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OrgLDAP is an extensible LDAP user management application supporting groups, *NIX (POSIX, Shadow), Samba and other account types, SSH public keys and sudo roles. It includes a reusable extensible library and a web-based front-end.
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Widgets, panels, forms, dialogs, and more that fit seamlessly into django. Django-ui is much more than a "template pack". It uses jQuery UI to develop usable django widgets, forms, etc to be used seamlessly with the django framework.
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Web gallery based on pre-generated metadata, typically according to directory structure, not database or an administration. Development moved to: http://github.com/martinkozak/fsgal.
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This program generates customizable hyper-surfaces (multi-dimensional input and output) and samples data from them to be used further as benchmark for response surface modeling tasks or optimization algorithms.
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Python module to interface the CLIPS expert system shell library.
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This is a command line tool that list all registered occurences of a DLL from the windows registry and allows to unregister them all with regsvr32.
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The Location Containment Object Model(LCOM) is a simulation framework written in Python. LCOM provides a rule-based solution to handling partial object containment, object migration, message passing, and simulation observation.
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The project contains algorithms for locating the most central groups in complex networks. In particular implementations of various centrality measures and heuristic search algorithms. All functionality is exposed via XML-RPC for easier exploitation.
