Found 537 packages
ImageMagick is a powerful image manipulation library that supports over 100 major file formats (not including sub-formats). With Magick.NET you can use ImageMagick without having to install ImageMagick on your server or desktop. Visit https://github.com/dlemstra/Magick.NET/tree/main/docs before installing to help you decide the best version.
Microsoft.ML.CpuMath contains optimized math routines for ML.NET.
An easy and reliable way to perform fire-and-forget, delayed and recurring, long-running, short-running, CPU or I/O intensive tasks in .NET applications. No Windows Service / Task Scheduler required. Backed by Redis, SQL Server, SQL Azure or MSMQ. This is a .NET alternative to Sidekiq, Resque and Celery. https://www.hangfire.io/
Export system metrics (CPU usage, disk usage, etc) to Prometheus from your .NET app.
A near-C++ performance implementation of the Snappy compression algorithm for .NET. Snappier is ported to C# directly from the official C++ implementation, with the addition of support for the framed stream format. By avoiding P/Invoke, Snappier is fully cross-platform and works on both Linux and Windows and against any CPU supported by .NET. However, Snappier performs best in .NET 6 and later on little-endian x86/64 processors with the help of System.Runtime.Instrinsics.
OpenCV wrapper for .NET Framework
Cpu Usage, the amount of time that the current thread/process has executed in kernel and user mode including async/await scenarios. Works everywhere: Linux, OSX and Windows. Does not require any special permissions. Targets everywhere: Net Framework 2.0-4.8, Net Standard 1.3-2.1, Net Core 1.0+ ...
A bundled copy of wkhtmltox.dll x86 and x64 versions for use with TuesPechkin.
An easy and reliable way to perform fire-and-forget, delayed and recurring, long-running, short-running, CPU or I/O intensive tasks inside ASP.NET applications. No Windows Service / Task Scheduler required. Even ASP.NET is not required. Backed by Redis, SQL Server, SQL Azure or MSMQ. This is a .NET alternative to Sidekiq, Resque and Celery. https://www.hangfire.io/
Microsoft Cognitive Toolkit Libraries, CPU-Only Build
TorchSharp makes PyTorch available for .NET users. libtorch-cpu-linux-x64 contains components of the PyTorch LibTorch library version 2.10.0 redistributed as a NuGet package with added support for TorchSharp.
iced is a blazing fast and correct x86 (16/32/64-bit) instruction decoder, disassembler and assembler written in C#. - 👍 Supports all Intel and AMD instructions - 👍 Correct: All instructions are tested and iced has been tested against other disassemblers/assemblers (xed, gas, objdump, masm, dumpbin, nasm, ndisasm) and fuzzed - 👍 100% C# code - 👍 The formatter supports masm, nasm, gas (AT&T), Intel (XED) and there are many options to customize the output - 👍 The decoder decodes >130 MB/s - 👍 Small decoded instructions, only 40 bytes and the decoder doesn't allocate any memory - 👍 Create instructions with code assembler, eg. `asm.mov(eax, edx)` - 👍 The encoder can be used to re-encode decoded instructions at any address - 👍 API to get instruction info, eg. read/written registers, memory and rflags bits; CPUID feature flag, control flow info, etc - 👍 Supports `.NET Standard 2.0/2.1+` and `.NET Framework 4.5+` - 👍 License: MIT
Microsoft CNTK CPU-only Model Evaluation Libraries (no GPU required)
TorchSharp makes PyTorch available for .NET users. libtorch-cpu-win-x64 contains components of the PyTorch LibTorch library version 2.10.0 redistributed as a NuGet package with added support for TorchSharp.
Microsoft Cognitive Toolkit Libraries, UWP CPU-Only Build
TorchSharp makes PyTorch available for .NET users. libtorch-cpu-osx-x64 contains components of the PyTorch LibTorch library version 2.2.1 redistributed as a NuGet package with added support for TorchSharp.
LLamaSharp.Backend.Cpu is a backend for LLamaSharp to use with Cpu only.
Provides a set of APIs to process CPU data in Event Tracing for Windows (ETW) traces (.etl files) in .NET. Consider using Microsoft.Windows.EventTracing.Processing.All instead to provide native dependencies and data providers.