Top 20 NuGet gpu Packages
ILGPU compiler and runtime library for convenient and high-performance GPU programming in .Net. Samples can be found in the GitHub repository: https://github.com/m4rs-mt/ILGPU.Samples
ILGPU Algorithms library for high-level GPU programming. Samples can be found in the GitHub repository: https://github.com/m4rs-mt/ILGPU.Samples
ManagedCuda aims an easy integration of NVidia's CUDA in .NET applications written in C#, Visual Basic or any other .NET language. This package includes only the core ManagedCuda library and no additional CUDA libraries. CUDA Toolkit: 220.127.116.11 Minimum NVIDIA GPU driver: 387.9...
A .NET Standard 2.1 library to run C# code in parallel on the GPU through DX12 and dynamically generated HLSL compute shaders
BCnEncoder.NET is a library for compressing rgba images to different block-compressed formats. Both ktx and dds output formats are supported. It has no native dependencies and is .NET Standard 2.1 compatible. Supported formats are: Raw unsigned byte R, RG, RGB and RGBA formats BC1 (S3TC DXT...
Face analytics library based on deep neural networks and ONNX runtime. Gpu implementation.
Amplifier allows .NET developers to easily run complex applications with intensive mathematical computation on Intel CPU/GPU, NVIDIA, AMD without writing any additional C kernel code. Write your function in .NET and Amplifier will take care of running it on your favorite hardware.
managedCuda-wrapper for CUSOLVE (Windows/Linux/.net Framework 4.x/.net Core 3.x)
A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN and native memory management
Bright Wire CUDA adds GPU support to Bright Wire. This lets you run Bright Wire machine learning on a Maxwell or better NVIDIA GPU.
The GPU-accelerated version of package CenterSpace.NMath. With a few minor exceptions, such as optional GPU configuration settings, the API is identical between CenterSpace.NMath.Premium and CenterSpace.NMath. If using at least .NET Framework 4.6.1 or .NET Core 2.0, we recommend using one of our NMa...
The GPU-accelerated version of package CenterSpace.NMath.Stats. With a few minor exceptions, such as optional GPU configuration settings, the API is identical between CenterSpace.NMath.Stats.Premium and CenterSpace.NMath.Stats.