Search Results for "kreatv-kernel-smartlabs.bin"
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Showing 13 open source projects for "kreatv-kernel-smartlabs.bin"
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As your users rely more and more on Cloud and Internet-based technologies, reliable internet connectivity becomes more and more important to your business. With Bigleaf’s proven SD-WAN architecture, groundbreaking AI, and DDoS attack mitigation, you can finally deliver the reliable internet connectivity your business needs without the limitations of traditional networking platforms. Bigleaf’s Cloud Access Network and plug-and-play router allow for limitless control to and from anywhere your traffic needs to go. Bigleaf’s self-driving AI automatically identifies and adapts to any changing circuit conditions and traffic needs—addressing issues before they impact your users. Bigleaf puts you in the driver’s seat of every complaint and support call with full-path traffic and network performance data, delivered as actionable insights, reports, and alerts.
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Whether natural disaster, cyberattack, or plain-old human error, data can disappear in the blink of an eye. ConnectWise BCDR (formerly Recover) delivers reliable and secure backup and disaster recovery backed by powerful automation and a 24/7 NOC to get your clients back to work in minutes, not days.
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PyTorch Geometric
Geometric deep learning extension library for PyTorch
... of functionality of PyTorch Geometric to other packages, which needs to be additionally installed. These packages come with their own CPU and GPU kernel implementations based on C++/CUDA extensions. We do not recommend installation as root user on your system python. Please setup an Anaconda/Miniconda environment or create a Docker image. We provide pip wheels for all major OS/PyTorch/CUDA combinations. -
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MLPACK is a C++ machine learning library with emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and flexibility for expert users. * More info + downloads: https://mlpack.org * Git repo: https://github.com/mlpack/mlpack
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Netgen Mesh Generator
NETGEN is an automatic 3d tetrahedral mesh generator
NETGEN is an automatic 3d tetrahedral mesh generator. It accepts input from constructive solid geometry (CSG) or boundary representation (BRep) from STL file format. The connection to a geometry kernel allows the handling of IGES and STEP files. NETGEN contains modules for mesh optimization and hierarchical mesh refinement. Netgen is open source based on the LGPL license. It is available for Unix/Linux and Windows. -
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libirt
The new site is at http://psychometricon.net/libirt/
The new site is at http://psychometricon.net/libirt/ Library of functions to estimate the items and abilities from the responses of subjects to a questionnaire. The IRT models supported are the logistic model, the multivariate logistic model, the graded model and smoothing by penalization and kernel. -
Define and Deliver Comprehensive Cybersecurity Services. Security threats continue to grow, and your clients are most likely at risk. Small- to medium-sized businesses (SMBs) are targeted by 64% of all cyberattacks, and 62% of them admit lacking in-house expertise to deal with security issues. Now technology solution providers (TSPs) are a prime target. Enter ConnectWise Cybersecurity Management (formerly ConnectWise Fortify) — the advanced cybersecurity solution you need to deliver the managed detection and response protection your clients require. Whether you’re talking to prospects or clients, we provide you with the right insights and data to support your cybersecurity conversation. From client-facing reports to technical guidance, we reduce the noise by guiding you through what’s really needed to demonstrate the value of enhanced strategy.
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riboshape
Predicting ribosome footprint profile shapes from transcript sequences
Riboshape is a suite of algorithms to predict ribosome footprint profile shapes from transcript sequences. It applies kernel smoothing to codon sequences to build predictive features, and uses these features to builds a sparse regression model to predict the ribosome footprint profile shapes. Reference: Liu, T.-Y. and Song, Y.S. Prediction of ribosome footprint profile shapes from transcript sequences. Proceedings of ISMB 2016, Bioinformatics, Vol. 32 No. 12 (2016) i183-i191. -
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ViennaCL
Linear algebra and solver library using CUDA, OpenCL, and OpenMP
ViennaCL provides high level C++ interfaces for linear algebra routines on CPUs and GPUs using CUDA, OpenCL, and OpenMP. The focus is on generic implementations of iterative solvers often used for large linear systems and simple integration into existing projects. -
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Adaptive Gaussian Filtering
Machine learning with Gaussian kernels.
Libagf is a machine learning library that includes adaptive kernel density estimators using Gaussian kernels and k-nearest neighbours. Operations include statistical classification, interpolation/non-linear regression and pdf estimation. For statistical classification there is a borders training feature for creating fast and general pre-trained models that nonetheless return the conditional probabilities. Libagf also includes clustering algorithms as well as comparison and validation... -
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Easy Equations
Hand Written Equation Creator
Easy Equations is a utility using which one can write the mathematical equations. The focus of this utility is to provide user friendly access to write mathematical equations which is helpful for students, lecturers, mathematicians and Research persons who prefer using mathematical equations in a document, PowerPoint or web sites. Works on Windows as well as Linux platforms. Software Requirements: JDK 7 or higher. Linux Platform with kernel version 2.7 or higher.(for Linux users).python... -
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ViennaMath
A symbolic math kernel in C++
ViennaMath provides a symbolic math kernel which can be used either for compile-time processing, or for run-time evaluation. Unlike other symbolic math implementations, ViennaMath aims at providing a fast math layer for use with numerical methods such as the finite element method (cf. ViennaFEM) -
Managing your therapy and rehab practice is a time-consuming process. You spend hours on paperwork, billing, scheduling, and more. Raintree’s Therapy & Rehab EHR is here to help you manage your practice more efficiently. With our all-in-one solution, you’ll get the tools you need to streamline your therapy and rehab practice, improve patient care, and get back to doing what you love.
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ViennaFEM
A finite element solver using state-of-the-art programming techniques.
ViennaFEM is a library-centric implementation of the finite element method in C++. It features a symbolic math kernel, which manipulates the strong or weak form of the problem and automatically derives the discrete form. ViennaFEM is built on top of the following libraries: ViennaMath provides the symbolic math kernel, ViennaGrid (with ViennaData) allows for a generic grid handling and quantity storage, while ViennaCL provides the linear solvers and GPU acceleration. -
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Lightweight modelling program in which you can create, try and adjust your control (not only) system. Kernel of this program is MBricks - cross-platform collection of bricks. Created in Math Bricks system can be implemented in one *.h file.
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A library for fast computation of Gauss transforms in multiple dimensions, using the Improved Fast Gauss Transform and Approximate Nearest Neighbor searching. This library is useful for efficient Kernel Density Estimation (KDE) using a Gaussian kernel.
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The Optimized Sparse Kernel Interface (OSKI) Library provides automatically tuned sparse matrix kernels, for use by solver libraries and applications. OSKI is part of the BeBOP project on performance tuning and analysis at U.C. Berkeley. (Go Bears!)
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