Gradient

FULL TensorFlow 1.15 for .NET with Keras. Build, train, checkpoint, execute models. Comparison with TensorFlowSharp: https://github.com/losttech/Gradient/#why-not-tensorflowsharp Comparison with TensorFlow.NET: https://github.com/losttech/Gradient/#why-not-tensorflow-net Allows building arbitrary machine learning models, training them, and loading and executing pre-trained models using the most popular machine learning framework out there: TensorFlow. All from your favorite comfy .NET language. Supports both CPU and GPU training (the later requires CUDA or a special build of TensorFlow). Provides access to full tf.keras and tf.contrib APIs, including estimators. This preview will expire. !!NOTE!! This version requires Python 3.x x64 to be installed with tensorflow or tensorflow-gpu 1.15. See the official installation instructions in https://www.tensorflow.org/install/ (ensure you are installing version 1.15 to avoid hard-to-debug issues). Please, report any issues to https://github.com/losttech/Gradient/issues For community support use https://stackoverflow.com/ with tags (must be all 3 together) tensorflow, gradient, and .net. For on-site/remote support for this preview email contact@losttech.software . More information in NuGet package release notes and at the project web page: https://github.com/losttech/Gradient .

Draw breathtaking backgrounds in your Xamarin.Forms application. It's a kind of magic. Powered by SkiaSharp.

Provides learning algorithms and models for GradientBoost regression and classification.

This library provides UI effects which rely on Win2D. It is a part of the Windows Community Toolkit. AttachedCardShadow: Provides an easy-to-use, simple, and performant rounded-rectangle shadow effect. Effects: - AcrylicEffect: A custom acrylic effect that can be inserted into a pipeline. - BackdropEffect: A backdrop effect that can sample from a specified source. - BlendEffect: A blend effect that merges the current pipeline with an input one. - BlurEffect: A gaussian blur effect. - ImageEffect: An effect which displays an image loaded as a Win2D surface. - ShadeEffect: An effect that overlays a color layer over the current pipeline, with a specified intensity. - SolidColorEffect: An effect that renders a standard 8bit SDR color on the available surface. - TileEffect: An effect that loads an image and replicates it to cover all the available surface area. - ExposureEffect, GrayscaleEffect, HueRotationEffect and more, mapping to Win2D effects. Geometry: - CanvasPathGeometry: A class that parses Win2d Path Mini Language and converts it to CanvasGeometry, CanvasBrush, CanvasStroke, CanvasStrokeStyle or Color. Helpers: - SurfaceLoader: A class that can load and draw images and other objects to Win2D surfaces and brushes. Media: - AcrylicBrush: A custom Brush that that implements an acrylic effect with full control over all parameters. - BackdropBlurBrush: The BackdropBlurBrush is a Brush that blurs whatever is behind it in the application. - BackdropGammaTransferBrush: A brush which alters the colors of whatever is behind it in the application by applying a per-channel gamma transfer function. - BackdropInvertBrush: The BackdropInvertBrush is a Brush which inverts whatever is behind it in the application. - BackdropSaturationBrush: Brush which applies a SaturationEffect to the Backdrop. - BackdropSepiaBrush: Brush which applies a SepiaEffect to the Backdrop. - CanvasBrushBase: Helper Brush class to interop with Win2D Canvas calls. - ImageBlendBrush: A Brush which blends a BitmapImage to the Backdrop in a given mode. - PipelineBrush: A Brush that renders a customizable Composition/Win2D effects pipeline - RadialGradientBrush: This GradientBrush defines its Gradient as an interpolation within an Ellipse. - TilesBrush: A Brush that displays a tiled image, wrapping at the edges and endlessly repeating. PipelineBuilder: A class that allows to build custom effects pipelines and create CompositionBrush instances from them.

Core runtime components for Gradient

Package Description

This software is part of Gradient: https://losttech.software/gradient.html

Package Description

Multicore math engine for science and engineering. Dew Math Library is an object oriented math library for C# and .NET developers that offers a wide set of matrix and vector math operations. The library provides a broad set of vectorized numeric functions which include sparse matrices, complex numbers, probabilities, expression parser, optimization unit, SVD, QR, LQ, and LU solvers and special functions. Key features: Full hardware acceleration for Linux OS (64bit). Runs with Intel AVX, AVX2 and AVX512 optimized codepaths, chosing the best codepath depending on the underlying hardware. Typical performance gain over .NET Core native code is 10x. Supports .NET Core 7.0 and .NET Core 8.0. Support for 64bit native mode execution. Optimized Linear Algebra Package (LAPACK v3.7) numerical library Extensive XMLDoc based tooltips for .NET Core projects. Vectorized Math expression parser and evaluator Various optimization and fitting algorithms allow solution to a large set of problems. Simplex (Nelder-Mead), Marquardt with numerical derivates, Dual Simplex, Two-phase Simplex, BFGS, Conjugate Gradient, Gomory's Cutting Plane, Brent, Linear optimization, Trust Region. GPU support via OpenCL. Comprehensive implementation of the OpenCL API in object structure. Includes over 2000 GPU kernels. Sparse matrices, Direct Solvers (Pardiso), CG Iterative Solvers. Eigenvalues of symmetric matrices, solvers for banded matrices. Random Generators for over 18 distributions. Roots of the polynomial, coefficients of the polynomial, Poly evaluations, fitting, splines, piecewise polynomials, polynomial division and multiplication. Numerical integration by MonteCarlo, QuadGauss, Romberg methods. Special functions Airy, Biry, Besh, .... Elliptic integrals and Legendre Polynomials. Toeplitz matrix solvers. (Levinson Durbin). Cumulative distribution functions (CDF) and probability density functions (PDF) with probability statistics for over 30 probability distributions. Specialized super-conductive memory allocation allows 100% thread concurrency for arbitrary thread count outperforming garbage collector. Allows runtime selection of algorithm precision (single or double). 100% of the .NET source code written in C#.

GradientSlider for Xamarin.Forms projects that add the gradient slider add many custom properties.

Package Description

Geometries for WPF.

Simplex Noise implementation offering 1D, 2D, and 3D forms. Based on work by Heikki Törmälä (2012) and Stefan Gustavson (2006). Core algorithm designed by Ken Perlin (2001). This library provides 1D, 2D, and 3D simplex (coherent) noise, which is useful for procedural content generation - for example, terrain and particles in game development or visual media in movies. Compared to classic Perlin noise, simplex noise has no noticable directional artefacts, and has a well-defined and continuous gradient. This means content will be visually smoother, with a lower computational complexity especially at higher orders.

DiffSharp is a tensor library with support for differentiable programming. It is designed for use in machine learning, probabilistic programming, optimization and other domains. For documentation and installation instructions visit: https://diffsharp.github.io/

This is control for Windows Forms, which allows to select colors to create gradients.

Extra Xamarin.Forms controls that come in handy. So far StateContainer - bind UI to Mvvm state Circle - Xamarin.Forms circles BlurryPanel - iOS blurry view GradientPanel - Gradient backgrounds

Xamarin.Forms Effects(add Border / add placeholder / add Text / add Command / add NumberPicker, TimePicker and DatePicker / alter color for switch and slider / alter LineHeight of Label and Editor / Button to flat / Size to fit for Label / add touch events / Floating / Feedback / Gradient) for iOS / Android

This library provides UI effects which rely on Win2D. It is a part of the Windows Community Toolkit. AttachedCardShadow: Provides an easy-to-use, simple, and performant rounded-rectangle shadow effect. Effects: - AcrylicEffect: A custom acrylic effect that can be inserted into a pipeline. - BackdropEffect: A backdrop effect that can sample from a specified source. - BlendEffect: A blend effect that merges the current pipeline with an input one. - BlurEffect: A gaussian blur effect. - ImageEffect: An effect which displays an image loaded as a Win2D surface. - ShadeEffect: An effect that overlays a color layer over the current pipeline, with a specified intensity. - SolidColorEffect: An effect that renders a standard 8bit SDR color on the available surface. - TileEffect: An effect that loads an image and replicates it to cover all the available surface area. - ExposureEffect, GrayscaleEffect, HueRotationEffect and more, mapping to Win2D effects. Geometry: - CanvasPathGeometry: A class that parses Win2d Path Mini Language and converts it to CanvasGeometry, CanvasBrush, CanvasStroke, CanvasStrokeStyle or Color. Helpers: - SurfaceLoader: A class that can load and draw images and other objects to Win2D surfaces and brushes. Media: - AcrylicBrush: A custom Brush that that implements an acrylic effect with full control over all parameters. - BackdropBlurBrush: The BackdropBlurBrush is a Brush that blurs whatever is behind it in the application. - BackdropGammaTransferBrush: A brush which alters the colors of whatever is behind it in the application by applying a per-channel gamma transfer function. - BackdropInvertBrush: The BackdropInvertBrush is a Brush which inverts whatever is behind it in the application. - BackdropSaturationBrush: Brush which applies a SaturationEffect to the Backdrop. - BackdropSepiaBrush: Brush which applies a SepiaEffect to the Backdrop. - CanvasBrushBase: Helper Brush class to interop with Win2D Canvas calls. - ImageBlendBrush: A Brush which blends a BitmapImage to the Backdrop in a given mode. - PipelineBrush: A Brush that renders a customizable Composition/Win2D effects pipeline - RadialGradientBrush: This GradientBrush defines its Gradient as an interpolation within an Ellipse. - TilesBrush: A Brush that displays a tiled image, wrapping at the edges and endlessly repeating. PipelineBuilder: A class that allows to build custom effects pipelines and create CompositionBrush instances from them.

This library provides UI brushes. It is a part of the Windows Community Toolkit. Media: - AcrylicBrush: A custom Brush that that implements an acrylic effect with full control over all parameters. - BackdropBlurBrush: The BackdropBlurBrush is a Brush that blurs whatever is behind it in the application. - BackdropGammaTransferBrush: A brush which alters the colors of whatever is behind it in the application by applying a per-channel gamma transfer function. - BackdropInvertBrush: The BackdropInvertBrush is a Brush which inverts whatever is behind it in the application. - BackdropSaturationBrush: Brush which applies a SaturationEffect to the Backdrop. - BackdropSepiaBrush: Brush which applies a SepiaEffect to the Backdrop. - CanvasBrushBase: Helper Brush class to interop with Win2D Canvas calls. - ImageBlendBrush: A Brush which blends a BitmapImage to the Backdrop in a given mode. - PipelineBrush: A Brush that renders a customizable Composition/Win2D effects pipeline - RadialGradientBrush: This GradientBrush defines its Gradient as an interpolation within an Ellipse. - TilesBrush: A Brush that displays a tiled image, wrapping at the edges and endlessly repeating. Effects: - AcrylicEffect: A custom acrylic effect that can be inserted into a pipeline. - BackdropEffect: A backdrop effect that can sample from a specified source. - BlendEffect: A blend effect that merges the current pipeline with an input one. - BlurEffect: A gaussian blur effect. - ImageEffect: An effect which displays an image loaded as a Win2D surface. - ShadeEffect: An effect that overlays a color layer over the current pipeline, with a specified intensity. - SolidColorEffect: An effect that renders a standard 8bit SDR color on the available surface. - TileEffect: An effect that loads an image and replicates it to cover all the available surface area. - ExposureEffect, GrayscaleEffect, HueRotationEffect and more, mapping to Win2D effects. Helpers: - SurfaceLoader: A class that can load and draw images and other objects to Win2D surfaces and brushes. PipelineBuilder: A class that allows to build custom effects pipelines and create CompositionBrush instances from them. Geometry: - CanvasPathGeometry: A class that parses Win2d Path Mini Language and converts it to CanvasGeometry, CanvasBrush, CanvasStroke, CanvasStrokeStyle or Color.

DiffSharp is a tensor library with support for differentiable programming. It is designed for use in machine learning, probabilistic programming, optimization and other domains. For documentation and installation instructions visit: https://diffsharp.github.io/

DiffSharp is a tensor library with support for differentiable programming. It is designed for use in machine learning, probabilistic programming, optimization and other domains. For documentation and installation instructions visit: https://diffsharp.github.io/

DiffSharp is a tensor library with support for differentiable programming. It is designed for use in machine learning, probabilistic programming, optimization and other domains. For documentation and installation instructions visit: https://diffsharp.github.io/

GradientPages for Xamarin.Forms projects that add the gradient background.

Xamarin.Forms plugin to make smart UIs with shapes such as circle, rounded rect, oval and so on. Support Android, iOS and UWP.

DiffSharp is a tensor library with support for differentiable programming. It is designed for use in machine learning, probabilistic programming, optimization and other domains. For documentation and installation instructions visit: https://diffsharp.github.io/

DiffSharp is a tensor library with support for differentiable programming. It is designed for use in machine learning, probabilistic programming, optimization and other domains. For documentation and installation instructions visit: https://diffsharp.github.io/

Gradient.ValueConverters package contains value converters for simple types, such as Guid, DateTime, Uri, etc.

DiffSharp is a tensor library with support for differentiable programming. It is designed for use in machine learning, probabilistic programming, optimization and other domains. For documentation and installation instructions visit: https://diffsharp.github.io/

DiffSharp is a tensor library with support for differentiable programming. It is designed for use in machine learning, probabilistic programming, optimization and other domains. For documentation and installation instructions visit: https://diffsharp.github.io/

A neural network training library using hardware acceleration via OpenCL. It supports hardware acceleration both for the gradient descent, and the network result calculations. The library can be used from .net core as well. For more info, visit the project URL.

DiffSharp is an automatic differentiation (AD) library. AD allows exact and efficient calculation of derivatives, by systematically invoking the chain rule of calculus at the elementary operator level during program execution. AD is different from numerical differentiation, which is prone to truncation and round-off errors, and symbolic differentiation, which is affected by expression swell and cannot fully handle algorithmic control flow. Using the DiffSharp library, derivative calculations (gradients, Hessians, Jacobians, directional derivatives, and matrix-free Hessian- and Jacobian-vector products) can be incorporated with minimal change into existing algorithms. Diffsharp supports nested forward and reverse AD up to any level, meaning that you can compute exact higher-order derivatives or differentiate functions that are internally making use of differentiation. Please see the API Overview page for a list of available operations. The library is under active development by Atılım Güneş Baydin and Barak A. Pearlmutter mainly for research applications in machine learning, as part of their work at the Brain and Computation Lab, Hamilton Institute, National University of Ireland Maynooth. DiffSharp is implemented in the F# language and can be used from C# and the other languages running on .NET Core, Mono, or the .NET Framework; targeting the 64 bit platform. It is tested on Linux and Windows. We are working on interfaces/ports to other languages.

This library aims to implement different mathematical optimization algorithms, such as regular and conjugate gradient descent.

The way the Xamarin.Forms Background Customization in Xamarin.Forms should be

Gradient Descent Optimization algorithms for .NET Core

FULL TensorFlow 2.5+ for .NET with Keras. Build, train, checkpoint, execute models. Samples: https://github.com/losttech/Gradient-Samples, https://github.com/losttech/YOLOv4, https://github.com/losttech/Siren Deep learning with .NET blog: https://ml.blogs.losttech.software/ Comparison with TensorFlowSharp: https://github.com/losttech/Gradient/#why-not-tensorflowsharp Comparison with TensorFlow.NET: https://github.com/losttech/Gradient/#why-not-tensorflow-net Allows building arbitrary machine learning models, training them, and loading and executing pre-trained models using the most popular machine learning framework out there: TensorFlow. All from your favorite comfy .NET language. Supports both CPU and GPU training (the later requires CUDA or a special build of TensorFlow). Provides access to full tf.keras, estimators and many more APIs. Free for non-commercial use. For licensing options see https://losttech.software/buy_gradient.html !!NOTE!! This version requires Python 3.x x64 to be installed with TensorFlow 2.5.x. See the official installation instructions in https://www.tensorflow.org/install/ (ensure you are installing version 2.5 to avoid hard-to-debug issues). Please, report any issues to https://github.com/losttech/Gradient/issues For community support use https://stackoverflow.com/ with tags (must be all 3 together) tensorflow, gradient, and .net. For support email contact@losttech.software . More information in NuGet package release notes and on the project web page: https://github.com/losttech/Gradient . TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc.

An extended ContentView for Xamarin.Forms with rounded corners, borders, shadows and more!

Gradient Descent Optimization algorithms for .NET Core

Multicore math engine for science and engineering. Dew Math Library is an object oriented math library for C# and .NET developers that offers a wide set of matrix and vector math operations. The library provides a broad set of vectorized numeric functions which include sparse matrices, complex numbers, probabilities, expression parser, optimization unit, SVD, QR, LQ, and LU solvers and special functions. Key features: With .NET Core use common source to compile your applications for Windows, Mac OS, iOS / iPhone, Android and Linux. The full source version is called MtxVec Core Edition Supports .NET Core 5.0 and .NET Core 6.0. Support for 64bit native mode execution. Optimized Linear Algebra Package (LAPACK v3.7) numerical library with BLAS Extensive XMLDoc based tooltips for .NET Core projects. Vectorized Math expression parser and evaluator Various optimization and fitting algorithms allow solution to a large set of problems. Simplex (Nelder-Mead), Marquardt with numerical derivates, Dual Simplex, Two-phase Simplex, BFGS, Conjugate Gradient, Gomory's Cutting Plane, Brent, Linear optimization, Trust Region. GPU support via OpenCL. Comprehensive implementation of the OpenCL API in object structure. Includes over 2000 GPU kernels. Sparse matrices, Direct Solvers (UMFPack and Pardiso), CG Iterative Solvers. Eigenvalues of symmetric matrices, solvers for banded matrices. Random Generators for over 18 distributions. Roots of the polynomial, coefficients of the polynomial, Poly evaluations, fitting, splines, piecewise polynomials, polynomial division and multiplication. Numerical integration by MonteCarlo, QuadGauss, Romberg methods. Special functions Airy, Biry, Besh, .... Elliptic integrals and Legendre Polynomials. Toeplitz matrix solvers. (Levinson Durbin). Cumulative distribution functions (CDF) and probability density functions (PDF) with probability statistics for over 30 probability distributions. Specialized super-conductive memory allocation allows 100% thread concurrency for arbitrary thread count outperforming garbage collector. Allows runtime selection of algorithm precision (single or double) 100% of the .NET source code written in C#

Interactive and responsive Color Picker Control for Xamarin.Forms (Android, iOS, UWP) with a whole bunch of awesome features. On a Canvas with a beautiful Color spectrum similar to a rainbow gradient effect spreading across, drag, drop, swipe and pan over the Canvas to pick the Color you need easily, in a fun-to-use interactive experience. Built from pure Xamarin.Forms based on SkiaSharp, lightweight and fast!

Editors contains part-based and masked editors for everything from date/time to currency entry, with unique designs that are specifically crafted to support input by keyboard, mouse, touch, and pen in WPF applications. Edit box controls support .NET data types input such as dates, times, numbers, brushes, colors, enumerations, sizes, and many more. Other controls include a regex-based masked textbox, auto-complete box, calculator, month calendar, star rating, gradient stop slider, and various color component pickers. Documentation is available on the Actipro web site (https://www.actiprosoftware.com/docs/controls/wpf/index?v=24.1), and samples can be downloaded from the Actipro WPF Controls GitHub repository (https://github.com/Actipro/WPF-Controls). NOTE: This is a commercial software product and requires proper paid licensing for legal usage. See Actipro's web site (https://www.actiprosoftware.com/purchase) for links to purchase developer licenses, or view the Sales FAQ for more information about evaluations and licensing.

This package provides the functionality to utilize the features of Syncfusion® Xamarin TextInputLayout, Gradient View, Effects View, Avatar view, Border, and Shimmer.

SVG is an excellent way to create interactive, resolution-independent vector graphics that will look great on any size screen. And the Snap.svg JavaScript library makes working with your SVG assets as easy as jQuery makes working with the DOM. Snap.svg is designed for modern browsers and therefore supports the newest SVG features like masking, clipping, patterns, full gradients, groups, and more.

Aspose.Slides for .NET is a comprehensive on-premise API that seamlessly integrates into your .NET applications and enhances their capabilities to make them work with Microsoft PowerPoint® and OpenDocument presentation file formats (PPT, PPTX, POT, POTX, PPS, PPSX, ODP, OTP, etc.). Without having to install a PowerPoint program or any 3rd party component, you can use Aspose.Slides to build different types of .NET applications, e.g., Windows Forms Apps, Windows Web Apps, as well as to deploy Web Services. For example, Aspose, using its own APIs, developed a free web application (https://products.aspose.app/slides/conversion/ppt-to-word) that allows people to convert their PPT files to Word online. Aspose.Slides for .NET can be used to create, edit, format, merge, split, save, render, print, and convert presentations. It can be used to work with presentation slides, content, design, security, properties, comments, notes, animations, and VBA macros. You can also work with the 3D aspects of PowerPoint presentations (rotation, depth, extrusion, gradient, WordArt). You can accurately convert your presentation files to numerous popular file formats, such as PDF, XPS, TIFF, HTML, etc. With Aspose.Slides for .NET, you can implement many complicated scenarios for managing tons of presentations. You get to merge and split presentations, clone and compare slides, work with multiple slide masters and layouts, modify presentation viewer and password-protection properties. You can manage tables, math equations, BLOBs, MSO charts, SmartArts, animations, audio/video frames, OLE objects, slides notes, and comments. Aspose.Slides for .NET supports operations with Microsoft PowerPoint (97 to 2019), MS PowerPoint for Mac, and Office 365. It can be used on any 32-bit or 64-bit OS, where .NET Framework, .NET Core, or Mono framework is available: MS Windows Desktop and Server editions, popular flavors of Linux, macOS X. COM Interop Support (COM, C++, VB.NET) is also available. Aspose.Slides for .NET can also be used on Azure and AWS.

Syncfusion PresentationToPDFConverter is a .NET library that allows you to convert the PowerPoint presentation to PDF in any ASP.NET Web Forms applications without any Microsoft Office dependencies. Key features: • Convert PowerPoint presentations with all the commonly used PowerPoint elements such as text, image, table, chart, gradient brushes, SmartArt diagrams, etc. • Convert the PowerPoint files with handouts and support optimizing the size of the converted PDF files. Learn more: https://www.syncfusion.com/powerpoint-framework/net?utm_source=nuget&utm_medium=listing Documentation: https://help.syncfusion.com/file-formats/presentation/presentation-to-pdf?utm_source=nuget&utm_medium=listing Support: Incident: https://www.syncfusion.com/support/directtrac/incidents/newincident?utm_source=nuget&utm_medium=listing Forum: https://www.syncfusion.com/forums/aspnet?utm_source=nuget&utm_medium=listing This is a commercial product and requires a paid license for possession or use. Syncfusion’s licensed software, including this component, is subject to the terms and conditions of Syncfusion's EULA (https://www.syncfusion.com/eula/es/?utm_source=nuget&utm_medium=listing). To acquire a license, you can purchase one at https://www.syncfusion.com/sales/products?utm_source=nuget&utm_medium=listing or start a free 30-day trial here (https://www.syncfusion.com/account/manage-trials/start-trials?utm_source=nuget&utm_medium=listing).

This package provides the functionality to utilize the features of Syncfusion® Winforms Card Layout, Flow Layout, Gradient Panel, Grid Layout,Navigation Pane, MakedTextBox, MessageBox, Popup, progressBar, TextBox, Editable ListBox, Folder Browser, Border Layout, Splash Screen, Office 2007 Form, and Grid Bag Layout.

This package provides the functionality to utilize the features of Syncfusion® Xamarin Chart contorl and more.

A fast, distributed, high performance gradient boosting framework

This package provides the functionality to utilize the features of Syncfusion® Xamarin.iOS Chart control and more.

This package provides the functionality to utilize the features of Syncfusion® Xamarin.Android Chart control and more.

Contains mathematical algorithms which can only be used for educational applications, and cannot be used in commercial products without express permission of its authors. Currently contains the non-linear Conjugate Gradient algorithm for non-linear optimization. This package is part of the Accord.NET Framework.