Tensor 0.3.0.710-master

.NET Framework 4.6.1 This package targets .NET Framework 4.6.1. The package is compatible with this framework or higher.
This is a prerelease version of Tensor.
There is a newer version of this package available.
See the version list below for details. 
dotnet add package Tensor --version 0.3.0.710-master
                    


                    

                
NuGet\Install-Package Tensor -Version 0.3.0.710-master
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="0.3.0.710-master" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
<PackageVersion Include="Tensor" Version="0.3.0.710-master" />
                    


                            Directory.Packages.props
                        

                    

                
<PackageReference Include="Tensor" />
                    


                            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 Tensor --version 0.3.0.710-master
                    


                    

                
#r "nuget: Tensor, 0.3.0.710-master"
#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 Tensor@0.3.0.710-master
#: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=Tensor&version=0.3.0.710-master&prerelease
                    


                            Install as a Cake Addin
                        

                    

                
#tool nuget:?package=Tensor&version=0.3.0.710-master&prerelease
                    


                            Install as a Cake Tool

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 9,066 5/8/2018
0.4.11-v0.4.11-215 965 5/8/2018
0.4.11-symtensor-core-242 1,831 11/15/2018
0.4.11-symtensor-core-241 1,859 11/15/2018
0.4.11-symtensor-core-240 1,860 11/15/2018
0.4.11-symtensor-core-239 1,712 11/15/2018
0.4.11-symtensor-core-238 1,860 11/15/2018
0.4.11-symtensor-core-237 1,932 11/15/2018
0.4.11-symtensor-core-236 1,750 11/14/2018
0.4.11-symtensor-core-235 1,809 11/14/2018
0.4.11-symtensor-core-234 1,793 11/14/2018
0.4.11-symtensor-core-231 1,874 11/9/2018
0.4.11-symtensor-core-230 1,878 11/9/2018
0.4.11-symtensor-core-229 1,697 11/8/2018
0.4.11-symtensor-core-228 1,944 11/8/2018
0.4.11-symtensor-core-227 1,828 10/30/2018
0.4.11-symtensor-core-226 1,973 10/30/2018
0.4.11-symtensor-core-225 1,804 10/30/2018
0.4.11-develop-216 2,383 5/8/2018
0.4.10-develop-213 2,240 5/8/2018
0.4.10-develop-212 2,176 5/7/2018
0.4.10-develop-211 2,320 5/7/2018
0.3.0.712-master 1,639 9/1/2017
0.3.0.711-master 1,704 9/1/2017
0.3.0.710-master 1,661 9/1/2017
0.3.0.709-master 1,642 8/31/2017
0.3.0.708-master 1,652 8/30/2017
0.3.0.707-master 1,597 8/30/2017
0.3.0.706-master 1,682 8/30/2017
0.3.0.701-master 1,708 6/26/2017
0.3.0.700-master 1,650 6/22/2017
0.3.0.699-master 1,648 6/22/2017
0.3.0.698-master 1,641 6/21/2017
0.3.0.697-master 1,699 6/21/2017
0.3.0.696-master 1,748 6/21/2017
0.3.0.695-master 1,685 6/21/2017
0.3.0.694-master 1,661 6/21/2017
0.3.0.693-master 1,716 6/20/2017
0.3.0.692-master 1,647 6/19/2017
0.3.0.691-master 1,670 6/19/2017
0.3.0.690-master 1,678 6/19/2017
0.3.0.689-master 1,658 5/14/2017
0.3.0.688 9,442 5/14/2017
0.3.0.686-master 1,610 5/14/2017
0.2.0.591-master 1,612 4/19/2017
0.2.0.565-master 1,569 4/11/2017
0.2.0.556-master 1,599 3/21/2017
0.2.0.551-master 1,635 3/17/2017
0.2.0.540-master 1,551 3/15/2017
0.2.0.536-master 1,586 3/14/2017
0.2.0.519-master 1,606 3/2/2017
0.2.0.516-master 1,583 3/2/2017
0.2.0.499-master 1,609 2/13/2017
0.2.0.494-master 1,582 2/7/2017
0.2.0.479-master 1,600 2/1/2017
0.2.0.463-master 1,612 1/17/2017
0.2.0.431-master 1,632 12/2/2016
0.2.0.422-master 1,941 11/9/2016
0.2.0.421-master 1,888 11/9/2016
0.2.0.411-master 1,678 10/26/2016
0.2.0.400-master 1,609 10/26/2016
0.2.0.394-master 1,594 10/25/2016
0.2.0.382-master 1,640 10/21/2016
0.2.0.377-master 1,657 10/20/2016
0.2.0.323-master 1,569 10/11/2016
0.2.0.262-master 1,599 9/29/2016
0.2.0.248-master 1,657 9/27/2016
0.2.0.174-master 1,642 9/16/2016
0.2.0.128-master 1,656 9/8/2016
0.2.0.122-master 1,628 9/8/2016
0.2.0.121-master 1,619 9/7/2016
0.2.0.111-master 1,600 9/7/2016
0.2.0.105-ci 1,667 9/5/2016
0.2.0.97-ci 1,677 8/30/2016
0.2.0.96-ci 1,593 8/29/2016
0.2.0.90-ci 1,649 8/25/2016
0.2.0.89-ci 1,601 8/24/2016
0.2.0.88-ci 1,647 8/24/2016
0.2.0.87-ci 1,627 8/24/2016
0.2.0.86-ci 1,631 8/23/2016
0.2.0.85-ci 1,624 8/22/2016
0.2.0.84-ci 1,645 8/22/2016
0.2.0.83-ci 1,618 8/22/2016
0.2.0.82 3,158 8/22/2016
0.2.0.81-ci 1,645 8/19/2016
0.2.0.80-ci 1,675 6/27/2016
0.2.0.79-ci 1,642 6/27/2016
0.2.0.77-ci 1,629 6/22/2016
0.2.0.76-ci 1,653 6/22/2016
0.2.0.75 2,445 6/15/2016
0.2.0.74-ci 1,999 6/15/2016
0.2.0.73 2,615 6/15/2016
0.2.0.72 2,638 6/15/2016
0.2.0.71 2,659 6/14/2016
0.2.0.70 2,484 6/9/2016
0.2.0.69 2,437 6/9/2016
0.2.0.68 2,295 6/9/2016
0.2.0.67 2,959 6/8/2016
0.2.0.66-ci 1,679 6/8/2016
0.2.0.65-ci 1,645 6/8/2016
0.2.0.64-ci 1,691 6/8/2016
0.2.0.63-ci 1,636 6/7/2016
0.2.0.62 2,289 6/7/2016
0.2.0.61 2,246 6/6/2016
0.2.0.60 2,227 6/6/2016
0.2.0.59 2,208 6/6/2016
0.2.0.57 2,305 6/3/2016
0.2.0.56 2,275 6/3/2016
0.2.0.55 2,318 6/3/2016
0.2.0.54 2,318 6/3/2016
0.2.0.53 2,789 6/3/2016
0.2.0.52-ci 1,616 6/2/2016
0.2.0.51-ci 1,636 6/2/2016
0.2.0.50-ci 1,666 6/2/2016
0.2.0.49 2,758 5/31/2016
0.2.0.48-ci 1,725 5/31/2016
0.2.0.46-ci 1,651 5/31/2016
0.2.0.45 2,473 5/31/2016
0.2.0.44 2,530 5/31/2016
0.2.0.43 2,451 5/31/2016
0.2.0.42 2,440 5/30/2016
0.2.0.41 2,506 5/30/2016
0.2.0.40 2,471 5/30/2016
0.2.0.39 2,559 5/30/2016
0.2.0.38 2,487 5/30/2016
0.2.0.37 2,503 5/30/2016
0.2.0.36 2,497 5/25/2016
0.2.0.35 2,477 5/24/2016
0.2.0.34 2,499 5/24/2016
0.2.0.33 3,476 5/24/2016
0.2.0.32-ci 1,666 5/24/2016
0.1.26-ci 1,686 5/24/2016
0.1.24-ci 1,626 5/24/2016
0.1.19-ci 1,663 5/24/2016

Initial release.