dotnet add package ManagedCuda-CUBLAS --version 11.4.47
NuGet\Install-Package ManagedCuda-CUBLAS -Version 11.4.47
<PackageReference Include="ManagedCuda-CUBLAS" Version="11.4.47" />
paket add ManagedCuda-CUBLAS --version 11.4.47
#r "nuget: ManagedCuda-CUBLAS, 11.4.47"
// 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)
|.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 net7.0 net7.0-android net7.0-ios net7.0-maccatalyst net7.0-macos net7.0-tvos net7.0-windows|
|.NET Framework||net40 net403 net45 net451 net452 net46 net461 net462 net463 net47 net471 net472 net48|
- No dependencies.
- No dependencies.
- ManagedCuda-11 (>= 11.4.47)
NuGet packages (3)
Showing the top 3 NuGet packages that depend on ManagedCuda-CUBLAS:
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.
Rocket powered machine learning. Create, compare, adapt, improve - neural networks at the speed of thought.
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:
Implementation of Google's Handheld Multi-Frame Super-Resolution algorithm (from Pixel 3 and Pixel 4 camera)
Brain Simulator is a platform for visual prototyping of artificial intelligence architectures.
Ceres - an MCTS chess engine for research and recreation
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.
Rocket powered machine learning. Create, compare, adapt, improve - artificial intelligence at the speed of thought.