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Showing 51 open source projects for "kreatv-kernel-smartlabs.bin"
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Red Hat Enterprise Linux (RHEL) on Microsoft Azure provides a secure, reliable, and flexible foundation for your cloud infrastructure. Red Hat Enterprise Linux on Microsoft Azure is ideal for enterprises seeking to enhance their cloud environment with seamless integration, consistent performance, and comprehensive support.
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HubSpot is an AI-powered customer platform with all the software, integrations, and resources you need to connect your marketing, sales, and customer service. HubSpot's connected platform enables you to grow your business faster by focusing on what matters most: your customers.
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libVMR
VMR - machine learning library
libVMR is a class library written in Java which implements code generator for group method of data handling - GMDH. The library is intended for users, with machine learning skills. libVMR provides an effective framework for the research and development of data mining and predictive analytics. libVMR is based on the most popular neural network model with a higher generalization ability from kernel tricks - vector machine by Reshetov (VMR). The library has been designed to learn from... -
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An implementation of the Kernel-based Orthogonal Projections to Latent Structures (K-OPLS) method for MATLAB and R. The supplied functionality includes e.g. cross-validation, kernel parameter optimization, model diagnostics and plot tools.
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Kernel Adaptive Filtering Toolbox
a Matlab benchmarking toolbox for kernel adaptive filtering
[Note: This project has moved. Visit https://github.com/steven2358/kafbox/ for the latest version.] A Matlab benchmarking toolbox for kernel adaptive filtering. Kernel adaptive filtering algorithms are online and adaptive regression algorithms based on kernels. They are suitable for nonlinear filtering, prediction, tracking and nonlinear regression in general. This toolbox includes algorithms, demos, and tools to compare their performance. See the included README file for a list... -
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Graphlet kernel framework
Calculates similarity between neighborhoods of two vertices in a graph
This software package provides a framework for calculating similarity between neighborhoods rooted at two vertices of interest in a labeled graph (undirected or directed). The list of available similarity functions includes: cumulative random walk, standard random walk, standard graphlet kernel, edit distance graphlet kernel, label substitution graphlet kernel and edge indel graphlet kernel. The graphlet kernel framework can be used for vertex (node) classification in graphs, kernel-based... -
It protects your internal resources such as behind-the-firewall applications, teams, and devices.
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Azul OS
Azul OS version dev(Linux) IA
... 0.4.1 . Disponible [changelog] software added : php5-mysql gcc-c++ php5-gd php5-ctype perl-HTML-Tagset php5-zip php5-curl kernel-source mysql-connector-java php5-pear php5-mcrypt php5-ftp devel_C_C++ gimp gedit recode libreoffice MozillaFirefox wireshark audacity nano This work is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License. #Blog : http://azul0.wordpress.com/ -
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Linux for Beagleboard-xm
A Tailored Small Linux for Beagleboard-xm
Beagleboard-xm is a powerful chip with a cortex-A8 CPU and a DSP. I have the plan to build an OCR gadget using it with Linux. As a by product I will post my tailored Linux kernel and u-boot, and all relevant stuff here, from now on. I was shocked by the blocking of Chinese citizens from accessing some of the contents on sourceforge. I deeply regret the outrageous action initiated, even though I fully understand the reasoning behind it. -
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DocCO
Non-disjoint groupping of Documents based on word sequence approach
This is a GUI for learning non disjoint groups of documents based on Weka machine learning framework. It offers the possibility to make non disjoint clustering of documents using both vectorial and sequential representation (word sequence approach based on WSK kernel). All data format supported by WEKA could be used in DocCO. Data could be loaded from files, from databases or from specified URL. All the preprocessing techniques implemented in WEKA could be used before performing... -
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QVision: Computer Vision Library for Qt
Computer vision and image processing library for Qt.
..., Computational Geometry Algorithms Library, Intel's Math Kernel Library and Integrated Performance Primitives, the Octave library, etc... -
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AReason
Artificial Reason Kernel and modules
Artificial Reason Kernel and modules -
Speedy Claims became the top CMS-1500 Software by providing the best customer service imaginable to our thousands of clients all over America. Medical billing isn't the kind of thing most people get excited about - it is just a tedious task you have to do. But while it will never be a fun task, it doesn't have to be as difficult or time consumimg as it is now. With Speedy Claims CMS-1500 software you can get the job done quickly and easily, allowing you to focus on the things you love about your job, like helping patients. With a simple interface, powerful features to eliminate repetitive work, and unrivaled customer support, it's simply the best HCFA 1500 software available on the market. A powerful built-in error checking helps ensure your HCFA 1500 form is complete and correctly filled out, preventing CMS-1500 claims from being denied.
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HSSVM(Hyper-Sphere Support Vector Machines) is a software for solving multi-classification problem, implemented by Java.
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Module linux kernel for upload chaosnet protocol into network layer. Server and client programm for share with lisp machine data space. Api interface for make program and service with chaosnet protocol.
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The CommGen platform is intended to be a simple, scalable integration platform for small to medium problem sets. The architecture is simple, consisting of a distributed kernel, distributed O/S, agent and application layer.
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GenetiK is a generic framework that supports evolutionary algorithms, in particular Genetic Algorithms and Genetic Programming (and also Strongly Typed GP).
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EverCrack cryptanalysis engine. The goal is cryptanalysis of any class of cipher. The focus now is the kernel - cryptanalysis of unilateral monalpha substitution ciphers extremely quickly, and later, cryptanalysis of complex ciphers for the kernel.
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This project provides a simple kernel for building distributed agent-based applications. It is based on the idea that the principles underlying dataflow programming are well-suited to design a coordination language for multi-agent environments.
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The Another Web Chat Bot (AWCB) is a kernel for easy web-based chat bot development. The current object-based version is designed to make the development of user's wcb modules simpler.
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Maiden-core is a Linux kernel robotics API module, extensible in Erc. The Maiden Project also documents and develops the Maiden architecture for mobile robots, a set of (optional) designs and standards for robots using the Maiden-core API.
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Oopl (rhymes with "scruple") is an object-oriented extension for Prolog. This kernel now lets you write Prolog programs making use of all the advantages of working with classes, instances, attributes and service-like predicates.
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Rescuecore is a java framework for developing Robocup Rescue agents. The framework provides functions for launching agents, connecting to the simulation kernel and sending/receiving commands from the kernel
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A solution for Home automation, with HTTP access to manage Tini Board, X10 - I2C - LCD components. You can add your own manager and exchange his services with other. All manager are plug on a kernel (Servlet Java).
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This Meshula Kernel contains a reactive AI core, a high quality physics simulator, a math library, and assorted utility routines
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Burn
Burn is a new comprehensive dynamic Deep Learning Framework
Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals. Burn emphasizes performance, flexibility, and portability for both training and inference. Developed in Rust, it is designed to empower machine learning engineers and researchers across industry and academia. -
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This Project would create an automaton that could interact with humans or other automaton in the net. It is developed by creating a kernel and a plugin system tha add more capacity to interact with the enviroment that it is in.
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A fast kernel density estimation based classifier. Uses multi resolution KD trees to significantly reduce the number of calculations needed to perform density estimation.
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Bebops ("Belief Base Operations") provides semi-revision, contraction and kernel operators for an OWL-backed Belief Base.