ManagedCuda-CUBLAS
12.0.48
dotnet add package ManagedCuda-CUBLAS --version 12.0.48
NuGet\Install-Package ManagedCuda-CUBLAS -Version 12.0.48
<PackageReference Include="ManagedCuda-CUBLAS" Version="12.0.48" />
paket add ManagedCuda-CUBLAS --version 12.0.48
#r "nuget: ManagedCuda-CUBLAS, 12.0.48"
// Install ManagedCuda-CUBLAS as a Cake Addin
#addin nuget:?package=ManagedCuda-CUBLAS&version=12.0.48
// Install ManagedCuda-CUBLAS as a Cake Tool
#tool nuget:?package=ManagedCuda-CUBLAS&version=12.0.48
managedCuda-wrapper for CUBLAS (Windows/Linux/.net Framework 4.8/.net Core >3.1)
Product | Versions |
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.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 Core | netcoreapp3.1 |
.NET Framework | net48 net481 |
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.NETCoreApp 3.1
- No dependencies.
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.NETFramework 4.8
- No dependencies.
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All Frameworks
- ManagedCuda-12 (>= 12.0.48)
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net6.0
- No dependencies.
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net7.0
- No dependencies.
NuGet packages (3)
Showing the top 3 NuGet packages that depend on ManagedCuda-CUBLAS:
Package | Downloads |
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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. |
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Sigma.Core
Rocket powered machine learning. Create, compare, adapt, improve - neural networks at the speed of thought. |
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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 |
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kunzmi/ImageStackAlignator
Implementation of Google's Handheld Multi-Frame Super-Resolution algorithm (from Pixel 3 and Pixel 4 camera)
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GoodAI/BrainSimulator
Brain Simulator is a platform for visual prototyping of artificial intelligence architectures.
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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, cross-platforms (Windows, Linux, x86, x64, ARM) and so on.
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dje-dev/Ceres
Ceres - an MCTS chess engine for research and recreation
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ThinkingTransistor/Sigma
Rocket powered machine learning. Create, compare, adapt, improve - artificial intelligence at the speed of thought.
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