Found 967 packages
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, no additional CUDA libraries and is platform independent.
Microsoft Cognitive Toolkit Libraries, Cuda dependencies
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: 9.1.85.3 Minimum NVIDIA GPU driver: 387.92 This package is an unofficial port of ManagedCUDA to .NET Standard 2.0 and was tested on Linux and Windows (x64). This package contains components that are property of Nvidia Corporation and redistributed according to the "CUDA Supplement to Software License Agreement" of the "NVIDIA Software License Agreement". See the package license for details.
TorchSharp makes PyTorch available for .NET users. This package combines the TorchSharp package with LibTorch 2.10.0 CUDA 12.8 support for Windows.
This is a test. For concerns, contact security [at] uipath [d0t] com
Math.NET Numerics is the numerical foundation of the Math.NET project, aiming to provide methods and algorithms for numerical computations in science, engineering and every day use. Supports .NET 5.0 or higher, .NET Standard 2.0 and .NET Framework 4.6.1 or higher, on Windows, Linux and Mac.
Whisper.net.Runtime.Cuda.Windows contains the native runtime libraries to enable Whisper on .NET with Whisper.net and GPU support (Cuda) on Windows.
Whisper.net.Runtime.Cuda.Linux contains the native runtime libraries to enable Whisper on .NET with Whisper.net and GPU support (Cuda) for Linux
managedCuda-wrapper for CUBLAS (Windows/Linux/.net Framework 4.8/.net Core >3.1)
Math.NET Numerics is the numerical foundation of the Math.NET project, aiming to provide methods and algorithms for numerical computations in science, engineering and every day use. Supports .NET 5.0 or higher, .NET Standard 2.0 and .NET Framework 4.6.1 or higher, on Windows, Linux and Mac. This package contains strong-named assemblies for legacy use cases (not recommended).
LLamaSharp.Backend.Cuda12 is a backend for LLamaSharp to use with Cuda12.
Giving Windows C# developers easy access to NVIDIA's CUDA.
TorchSharp makes PyTorch available for .NET users. This package combines the TorchSharp package with LibTorch 2.10.0 CUDA 12.8 support for Linux.
managedCuda-wrapper for NVRTC (Windows/Linux/.net Framework 4.8/.net Core >3.1)
Combined of all the CUAD library (CUFFT, CURAND, CUSPARSE, CUBLAS, CUSOLVE, NPP and NVRTC.) into one .NET Standard package. Please install package version which based in CUDA installation. Original author: https://kunzmi.github.io/managedCuda/ ManagedCuda combines Cuda's GPU computing power with the comfort of managed .net code. While offering access to the entire feature set of Cuda's driver API, managedCuda has type safe wrapper classes for every handle defined by the API. ManagedCuda also includes wrappers for all Cuda based libraries, as there were CUFFT, CURAND, CUSPARSE, CUBLAS, CUSOLVE, NPP and NVRTC.
managedCuda-wrapper for cuDNN (Windows/Linux/.net Framework 4.x/.net Core 3.x)
managedCuda-wrapper for CUFFT (Windows/Linux/.net Framework 4.8/.net Core >3.1)
Whisper.net.Runtime.Cuda contains the native runtime libraries to enable Whisper on .NET with Whisper.net and GPU support (Cuda)
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/
managedCuda-wrapper for CUBLAS, only for x64-platform. CUDA Toolkit: 9.1.85.3 Minimum NVIDIA GPU driver: 387.92 This package is an unofficial port of ManagedCUDA to .NET Standard 2.0 and was tested on Linux and Windows (x64). This package contains components that are property of Nvidia Corporation and redistributed according to the "CUDA Supplement to Software License Agreement" of the "NVIDIA Software License Agreement". See the package license for details.