ManagedCuda-CUBLAS 11.4.47

.NET Core 3.1 .NET Framework 4.0
NuGet\Install-Package ManagedCuda-CUBLAS -Version 11.4.47
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package.
dotnet add package ManagedCuda-CUBLAS --version 11.4.47
<PackageReference Include="ManagedCuda-CUBLAS" Version="11.4.47" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add ManagedCuda-CUBLAS --version 11.4.47
#r "nuget: ManagedCuda-CUBLAS, 11.4.47"
#r directive can be used in F# Interactive, C# scripting and .NET Interactive. Copy this into the interactive tool or source code of the script to reference the package.
// Install ManagedCuda-CUBLAS as a Cake Addin
#addin nuget:?package=ManagedCuda-CUBLAS&version=11.4.47

// Install ManagedCuda-CUBLAS as a Cake Tool
#tool nuget:?package=ManagedCuda-CUBLAS&version=11.4.47

managedCuda-wrapper for CUBLAS (Windows/Linux/.net Framework 4.x/.net Core 3.x)

Product Versions
.NET net5.0 net5.0-windows net6.0 net6.0-android net6.0-ios net6.0-maccatalyst net6.0-macos net6.0-tvos net6.0-windows
.NET Core netcoreapp3.1
.NET Framework net40 net403 net45 net451 net452 net46 net461 net462 net463 net47 net471 net472 net48
Compatible target framework(s)
Additional computed target framework(s)
Learn more about Target Frameworks and .NET Standard.
  • .NETCoreApp 3.1

    • No dependencies.
  • .NETFramework 4.0

    • No dependencies.
  • All Frameworks

NuGet packages (3)

Showing the top 3 NuGet packages that depend on ManagedCuda-CUBLAS:

Package Downloads
DeepNet

Deep learning library for F#. Provides symbolic model differentiation, automatic differentiation and compilation to CUDA GPUs. Includes optimizers and model blocks used in deep learning. Make sure to set the platform of your project to x64.

Sigma.Core

Rocket powered machine learning. Create, compare, adapt, improve - neural networks at the speed of thought.

TensorSharp.CUDA

A tensor libaray based on CUDA. It includes many operations and can be used for neural networks

GitHub repositories (5)

Showing the top 5 popular GitHub repositories that depend on ManagedCuda-CUBLAS:

Repository Stars
kunzmi/ImageStackAlignator
Implementation of Google's Handheld Multi-Frame Super-Resolution algorithm (from Pixel 3 and Pixel 4 camera)
GoodAI/BrainSimulator
Brain Simulator is a platform for visual prototyping of artificial intelligence architectures.
zhongkaifu/Seq2SeqSharp
Seq2SeqSharp is a tensor based fast & flexible encoder-decoder deep neural network framework written by .NET (C#). It has many highlighted features, such as automatic differentiation, many different types of encoders/decoders(Transformer, LSTM, BiLSTM and so on), multi-GPUs supported and so on.
dje-dev/Ceres
Ceres - an MCTS chess engine for research and recreation
ThinkingTransistor/Sigma
Rocket powered machine learning. Create, compare, adapt, improve - artificial intelligence at the speed of thought.
Version Downloads Last updated
11.4.47 1,049 8/19/2021
11.0.43 1,255 7/16/2020
10.2.41 688 4/26/2020
10.0.31 12,670 10/28/2018
8.0.22 5,680 5/28/2017
8.0.13 11,855 10/23/2016