Tensor 0.2.0.71

.NET Framework 4.6.1
There is a newer version of this package available.
See the version list below for details. 
dotnet add package Tensor --version 0.2.0.71
NuGet\Install-Package Tensor -Version 0.2.0.71
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="Tensor" Version="0.2.0.71" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add Tensor --version 0.2.0.71
#r "nuget: Tensor, 0.2.0.71"
#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. 
// Install Tensor as a Cake Addin
#addin nuget:?package=Tensor&version=0.2.0.71

// Install Tensor as a Cake Tool
#tool nuget:?package=Tensor&version=0.2.0.71

Tensor library for F#. Provides n-dimensional arrays on host and CUDA GPU devices with reshape and slicing functionality.

Make sure to set the platform of your project to x64.

Product Compatible and additional computed target framework versions.
.NET Framework net461 is compatible.  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.

NuGet packages (3)

Showing the top 3 NuGet packages that depend on Tensor:

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.
RPlotTools

Tools for plotting using R from F#.
Tensor.Algorithm

Data types: - arbitrary precision rational numbers Matrix algebra (integer, rational): - Row echelon form - Smith normal form - Kernel, cokernel and (pseudo-)inverse Matrix decomposition (floating point): - Principal component analysis (PCA) - ZCA whitening Misc: - Bezout's identity - Loading of NumPy's .npy and .npz files.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last updated
0.4.11 7,630 5/8/2018
0.4.11-v0.4.11-215 628 5/8/2018
0.4.11-symtensor-core-242 1,623 11/15/2018
0.4.11-symtensor-core-241 1,623 11/15/2018
0.4.11-symtensor-core-240 1,684 11/15/2018
0.4.11-symtensor-core-239 1,524 11/15/2018
0.4.11-symtensor-core-238 1,647 11/15/2018
0.4.11-symtensor-core-237 1,741 11/15/2018
0.4.11-symtensor-core-236 1,558 11/14/2018
0.4.11-symtensor-core-235 1,616 11/14/2018
0.4.11-symtensor-core-234 1,619 11/14/2018
0.4.11-symtensor-core-231 1,708 11/9/2018
0.4.11-symtensor-core-230 1,635 11/9/2018
0.4.11-symtensor-core-229 1,496 11/8/2018
0.4.11-symtensor-core-228 1,684 11/8/2018
0.4.11-symtensor-core-227 1,614 10/30/2018
0.4.11-symtensor-core-226 1,785 10/30/2018
0.4.11-symtensor-core-225 1,593 10/30/2018
0.4.11-develop-216 1,908 5/8/2018
0.4.10-develop-213 1,831 5/8/2018
0.4.10-develop-212 1,791 5/7/2018
0.4.10-develop-211 1,901 5/7/2018
0.3.0.712-master 1,380 9/1/2017
0.3.0.711-master 1,440 9/1/2017
0.3.0.710-master 1,393 9/1/2017
0.3.0.709-master 1,363 8/31/2017
0.3.0.708-master 1,411 8/30/2017
0.3.0.707-master 1,342 8/30/2017
0.3.0.706-master 1,417 8/30/2017
0.3.0.701-master 1,443 6/26/2017
0.3.0.700-master 1,388 6/22/2017
0.3.0.699-master 1,388 6/22/2017
0.3.0.698-master 1,365 6/21/2017
0.3.0.697-master 1,425 6/21/2017
0.3.0.696-master 1,482 6/21/2017
0.3.0.695-master 1,422 6/21/2017
0.3.0.694-master 1,389 6/21/2017
0.3.0.693-master 1,444 6/20/2017
0.3.0.692-master 1,376 6/19/2017
0.3.0.691-master 1,399 6/19/2017
0.3.0.690-master 1,424 6/19/2017
0.3.0.689-master 1,383 5/14/2017
0.3.0.688 8,397 5/14/2017
0.3.0.686-master 1,329 5/14/2017
0.2.0.591-master 1,343 4/19/2017
0.2.0.565-master 1,322 4/11/2017
0.2.0.556-master 1,341 3/21/2017
0.2.0.551-master 1,380 3/17/2017
0.2.0.540-master 1,287 3/15/2017
0.2.0.536-master 1,319 3/14/2017
0.2.0.519-master 1,343 3/2/2017
0.2.0.516-master 1,314 3/2/2017
0.2.0.499-master 1,335 2/13/2017
0.2.0.494-master 1,328 2/7/2017
0.2.0.479-master 1,349 2/1/2017
0.2.0.463-master 1,352 1/17/2017
0.2.0.431-master 1,390 12/2/2016
0.2.0.422-master 1,685 11/9/2016
0.2.0.421-master 1,640 11/9/2016
0.2.0.411-master 1,427 10/26/2016
0.2.0.400-master 1,369 10/26/2016
0.2.0.394-master 1,337 10/25/2016
0.2.0.382-master 1,363 10/21/2016
0.2.0.377-master 1,388 10/20/2016
0.2.0.323-master 1,305 10/11/2016
0.2.0.262-master 1,342 9/29/2016
0.2.0.248-master 1,379 9/27/2016
0.2.0.174-master 1,376 9/16/2016
0.2.0.128-master 1,390 9/8/2016
0.2.0.122-master 1,360 9/8/2016
0.2.0.121-master 1,359 9/7/2016
0.2.0.111-master 1,332 9/7/2016
0.2.0.105-ci 1,407 9/5/2016
0.2.0.97-ci 1,417 8/30/2016
0.2.0.96-ci 1,327 8/29/2016
0.2.0.90-ci 1,378 8/25/2016
0.2.0.89-ci 1,321 8/24/2016
0.2.0.88-ci 1,375 8/24/2016
0.2.0.87-ci 1,360 8/24/2016
0.2.0.86-ci 1,365 8/23/2016
0.2.0.85-ci 1,344 8/22/2016
0.2.0.84-ci 1,376 8/22/2016
0.2.0.83-ci 1,354 8/22/2016
0.2.0.82 2,735 8/22/2016
0.2.0.81-ci 1,384 8/19/2016
0.2.0.80-ci 1,393 6/27/2016
0.2.0.79-ci 1,361 6/27/2016
0.2.0.77-ci 1,358 6/22/2016
0.2.0.76-ci 1,394 6/22/2016
0.2.0.75 2,105 6/15/2016
0.2.0.74-ci 1,724 6/15/2016
0.2.0.73 2,323 6/15/2016
0.2.0.72 2,332 6/15/2016
0.2.0.71 2,342 6/14/2016
0.2.0.70 2,170 6/9/2016
0.2.0.69 2,123 6/9/2016
0.2.0.68 1,981 6/9/2016
0.2.0.67 2,572 6/8/2016
0.2.0.66-ci 1,392 6/8/2016
0.2.0.65-ci 1,378 6/8/2016
0.2.0.64-ci 1,418 6/8/2016
0.2.0.63-ci 1,381 6/7/2016
0.2.0.62 1,986 6/7/2016
0.2.0.61 1,960 6/6/2016
0.2.0.60 1,949 6/6/2016
0.2.0.59 1,903 6/6/2016
0.2.0.57 1,998 6/3/2016
0.2.0.56 1,975 6/3/2016
0.2.0.55 2,011 6/3/2016
0.2.0.54 2,000 6/3/2016
0.2.0.53 2,401 6/3/2016
0.2.0.52-ci 1,347 6/2/2016
0.2.0.51-ci 1,378 6/2/2016
0.2.0.50-ci 1,402 6/2/2016
0.2.0.49 2,402 5/31/2016
0.2.0.48-ci 1,458 5/31/2016
0.2.0.46-ci 1,387 5/31/2016
0.2.0.45 2,176 5/31/2016
0.2.0.44 2,214 5/31/2016
0.2.0.43 2,139 5/31/2016
0.2.0.42 2,132 5/30/2016
0.2.0.41 2,195 5/30/2016
0.2.0.40 2,173 5/30/2016
0.2.0.39 2,232 5/30/2016
0.2.0.38 2,171 5/30/2016
0.2.0.37 2,129 5/30/2016
0.2.0.36 2,181 5/25/2016
0.2.0.35 2,166 5/24/2016
0.2.0.34 2,163 5/24/2016
0.2.0.33 3,053 5/24/2016
0.2.0.32-ci 1,383 5/24/2016
0.1.26-ci 1,414 5/24/2016
0.1.24-ci 1,364 5/24/2016
0.1.19-ci 1,388 5/24/2016

Initial release.