11 packages tagged with “vectorization”
A simple .NET library for performing TFIDF vectorization.
Aspose.SVG for .NET seamlessly integrates into your .NET Apps to provide processing and rendering of SVG files without installing any 3rd party modeling or rendering software. Aspose.SVG for .NET offers developers to work with its DOM that is fully compatible with the official SVG specifications. Create SVG files from scratch. Perform content navigation via XPath Query or CSS Selectors. High-quality SVG rendering and conversion to various popular formats, including, PDF, XPS, JPEG, PNG, TIFF, and GIF. Ability to fetch information about SVG files, its elements and hierarchy. Merge multiple SVG documents, and vectorize their text elements to retain the high quality. It’s managed C# implementation enables it to be used with any .NET language, such as, C#, VB.NET, etc. You can also create Windows Desktop Apps as well as the ASP.NET web Apps using Aspose.SVG for .NET. It works equally well on any OS that can install .NET Framework (2.0/4.8), Mono (5.4/6.4), .NET Core (2.0/3.1) or use .NET 5, such as, MS Windows (32-bit and 64-bit), macOS (10.12+), and Linux.
Aspose.SVG.Drawing.SkiaSharp is a self-contained build of Aspose.SVG for .NET that uses the SkiaSharp graphics engine instead of GDI+. Simply add the package reference to begin rendering and processing SVG files - no extra configuration code is required. Aspose.SVG seamlessly integrates into your .NET apps to provide processing, DOM manipulation, rendering, and conversion of SVG files without installing any third-party modeling or rendering software. Its DOM implementation is fully compatible with official SVG specifications, allowing you to: • Create SVG files from scratch or merge multiple SVG documents • Navigate content via XPath queries or CSS selectors • Vectorize text elements to keep output crisp at any resolution • Convert or render SVG to PDF, XPS, PNG, JPEG, TIFF, and GIF with SkiaSharp's hardware-accelerated pipeline benefiting from its filters, shaders, and image-processing effects. Written in managed C#, the library works with C#, VB.NET, F#, and any .NET language targeting .NET Standard 2.0. It runs cross-platform on Windows, Linux, macOS, Mono, and all modern .NET (Core/5+/6+/7+) runtimes. Note: This package already contains the full Aspose.SVG API compiled with SkiaSharp. Do not call Aspose.Svg.Configuration.SetExtension(new SkiaModule()); and you do not need a separate Aspose.SVG package.
Package Description
Fast PRNG implementations in .NET. Your PRNG is unlikely to be a bottleneck in anything you do, but there are exceptions like for instance Monte Carlo simulations, where generating random samples can take some time.
High-performance tensor operations with SIMD acceleration for .NET. Provides Vector, Matrix, and Tensor types with hardware-accelerated operations (Sin, Cos, Exp, Log, etc.) that work across .NET Framework 4.7.1 and .NET 10.0. Supports any numeric type via generic INumericOperations interface. Optional GPU acceleration available via separate packages.
Production-ready CPU compute backend for DotCompute. Provides SIMD vectorization (3.7x faster) using AVX2/AVX512/NEON instructions, multi-threaded kernel execution, and Ring Kernel simulation. Benchmarked: Vector Add (100K elements) 2.14ms → 0.58ms. Native AOT compatible with sub-10ms startup.
A powerful .NET library for intelligent document structure analysis and chunking. Automatically identifies and parses various document patterns including Markdown headings, numeric outlines, legal sections, and appendices. Features hierarchical content organization, advanced keyword extraction with ML.NET, and ONNX vectorization support for semantic embeddings.
A high-performance, zero-allocation .NET library that introduces span-compatible alternatives to popular BCL types and provides vectorized solutions for common operations on spans.
High-performance .NET 8 library for quad-dominant meshing of 2.5D prismatic structures. v2.0 features Clean Architecture with Domain/Application/Infrastructure layers, Result pattern for robust error handling, async/parallel processing with 2.4x speedup, and comprehensive export capabilities.
Low-level fast SIMD algorithms in C#. Cross-platform, trimmable and AOT/NativeAOT compatible.
