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Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.
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SpecTcl is a Tcl/Tk based histogrammer suitable for analysis of nuclear physics data. SpecTcl is relatively easy to learn, and is based on top of a very open C++ histogramming class framework.
SpecTcl has been developed under NSF grant PHY-9528844 and DOE grant DE-SC0000661
Note that as of July 2023, all future development and release packages will be occur at https://github.com/FRIBDAQ/SpecTcl
The program enables to get performance of C/C++ program for any metric
The program enables to get performance of C/C++ program and separated pieces of code for any metrics (for instance : time, memory, metrics defined by user etc.). The measurement results are represented in detailed/summary reports.
Latest Version: 2.10
Geeks Artificial Neural Network (G.A.N.N) is an open source project that started with the philosophy of being a new more advanced A.N.N that works as a platform for other applications. In other words, G.A.N.N should be considered as a "Black Box".
Deploy in 115+ regions with the modern database for every enterprise.
MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
VisualPetri is Petri net editor for Windows platform based on GDI Plus library with an integrated simulator. Note: a Petri net is one of several mathematical representations of discrete distributed systems.
The algorithm allows any kind of weights (costs, frequencies), including non-numerical ones. The {0, 1, ..., n-1} alphabet is used to encode message. Built tree is n-ary one.The algorithm is based on a set of template classes : Cell(SYMBOL, WEIGHT), Node(
Java port and extension of MLC++ 2.0 by Kohavi et al. Currently contains ID3, C4.5, Naive (aka Simple) Bayes, and FSS and CHC (genetic algorithm) wrappers for feature selection. WEKA 3 interfaces are in development.