CudaControl 0.11.0.188-beta1

This is a prerelease version of CudaControl.
There is a newer version of this package available.
See the version list below for details.
dotnet add package CudaControl --version 0.11.0.188-beta1
                    
NuGet\Install-Package CudaControl -Version 0.11.0.188-beta1
                    
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.
<PackageReference Include="CudaControl" Version="0.11.0.188-beta1" />
                    
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="CudaControl" Version="0.11.0.188-beta1" />
                    
Directory.Packages.props
<PackageReference Include="CudaControl" />
                    
Project file
For projects that support Central Package Management (CPM), copy this XML node into the solution Directory.Packages.props file to version the package.
paket add CudaControl --version 0.11.0.188-beta1
                    
#r "nuget: CudaControl, 0.11.0.188-beta1"
                    
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package.
#:package CudaControl@0.11.0.188-beta1
                    
#:package directive can be used in C# file-based apps starting in .NET 10 preview 4. Copy this into a .cs file before any lines of code to reference the package.
#addin nuget:?package=CudaControl&version=0.11.0.188-beta1&prerelease
                    
Install as a Cake Addin
#tool nuget:?package=CudaControl&version=0.11.0.188-beta1&prerelease
                    
Install as a Cake Tool

Updated includes the following updates:

  • built with the latest Visual Studio compiler patches and bug fixes.
  • tested on Windows 10 Pro, 64-bit, OS Build 18363.1082
Product Compatible and additional computed target framework versions.
.NET Framework net40 is compatible.  net403 was computed.  net45 was computed.  net451 was computed.  net452 was computed.  net46 was computed.  net461 was computed.  net462 was computed.  net463 was computed.  net47 was computed.  net471 was computed.  net472 was computed.  net48 was computed.  net481 was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

This package has no dependencies.

NuGet packages (1)

Showing the top 1 NuGet packages that depend on CudaControl:

Package Downloads
MyCaffe

A complete C# re-write of Berkeley's open source Convolutional Architecture for Fast Feature Encoding (CAFFE) for Windows C# Developers with full On-line Help, now with Temporal Fusion Transformers, GPT, Seq2Seq/Attention, Single-Shot MultiBox, TripletNet, SiameseNet, NoisyNet, Deep Q-Network and Policy Gradient Reinforcement Learning, cuDNN LSTM Recurrent Learning, and Neural Style Transfer support!

GitHub repositories (1)

Showing the top 1 popular GitHub repositories that depend on CudaControl:

Repository Stars
MyCaffe/MyCaffe
A complete deep learning platform written almost entirely in C# for Windows developers! Now you can write your own layers in C#!
Version Downloads Last Updated
1.12.2.41 488 9/18/2023
1.12.1.82 345 6/8/2023
1.12.0.60 524 2/21/2023
1.11.8.27 614 11/23/2022
1.11.7.7 836 8/8/2022
1.11.6.38 892 6/10/2022
0.11.6.86-beta1 313 2/11/2022
0.11.4.60-beta1 389 9/11/2021
0.11.3.25-beta1 350 5/19/2021
0.11.2.9-beta1 401 2/3/2021
0.11.1.132-beta1 410 11/21/2020
0.11.1.56-beta1 435 10/17/2020
0.11.0.188-beta1 480 9/24/2020
0.11.0.65-beta1 542 8/6/2020
0.10.2.309-beta1 627 5/31/2020
0.10.2.124-beta1 549 1/21/2020
0.10.2.38-beta1 500 11/29/2019
0.10.1.283-beta1 496 10/28/2019
0.10.1.221-beta1 557 9/17/2019
0.10.1.169-beta1 577 7/8/2019
0.10.1.145-beta1 582 5/31/2019
0.10.1.48-beta1 588 4/18/2019
0.10.1.21-beta1 578 3/5/2019
0.10.0.190-beta1 731 1/15/2019
0.10.0.140-beta1 719 11/29/2018
0.10.0.122-beta1 700 11/15/2018
0.10.0.75-beta1 821 10/7/2018

The CudaControl is used by the MyCaffe AI Platform for efficient access to CUDA and cuDNN.