Tensor 0.3.0.688
There is a newer version of this package available.
See the version list below for details.
See the version list below for details.
dotnet add package Tensor --version 0.3.0.688
NuGet\Install-Package Tensor -Version 0.3.0.688
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="0.3.0.688" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Tensor --version 0.3.0.688
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: Tensor, 0.3.0.688"
#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=0.3.0.688 // Install Tensor as a Cake Tool #tool nuget:?package=Tensor&version=0.3.0.688
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
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 | Versions 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.
-
- ManagedCuda-CUBLAS (>= 8.0.13)
- ManagedCuda-NVRTC (>= 8.0.13)
- MathNet.Numerics (>= 3.13.1)
- System.Numerics.Vectors (>= 4.3.0)
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. |
|
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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 | 8,491 | 5/8/2018 |
| 0.4.11-v0.4.11-215 | 650 | 5/8/2018 |
| 0.4.11-symtensor-core-242 | 1,709 | 11/15/2018 |
| 0.4.11-symtensor-core-241 | 1,744 | 11/15/2018 |
| 0.4.11-symtensor-core-240 | 1,741 | 11/15/2018 |
| 0.4.11-symtensor-core-239 | 1,594 | 11/15/2018 |
| 0.4.11-symtensor-core-238 | 1,729 | 11/15/2018 |
| 0.4.11-symtensor-core-237 | 1,814 | 11/15/2018 |
| 0.4.11-symtensor-core-236 | 1,624 | 11/14/2018 |
| 0.4.11-symtensor-core-235 | 1,692 | 11/14/2018 |
| 0.4.11-symtensor-core-234 | 1,674 | 11/14/2018 |
| 0.4.11-symtensor-core-231 | 1,756 | 11/9/2018 |
| 0.4.11-symtensor-core-230 | 1,750 | 11/9/2018 |
| 0.4.11-symtensor-core-229 | 1,568 | 11/8/2018 |
| 0.4.11-symtensor-core-228 | 1,815 | 11/8/2018 |
| 0.4.11-symtensor-core-227 | 1,702 | 10/30/2018 |
| 0.4.11-symtensor-core-226 | 1,846 | 10/30/2018 |
| 0.4.11-symtensor-core-225 | 1,686 | 10/30/2018 |
| 0.4.11-develop-216 | 2,056 | 5/8/2018 |
| 0.4.10-develop-213 | 1,933 | 5/8/2018 |
| 0.4.10-develop-212 | 1,865 | 5/7/2018 |
| 0.4.10-develop-211 | 2,010 | 5/7/2018 |
| 0.3.0.712-master | 1,430 | 9/1/2017 |
| 0.3.0.711-master | 1,495 | 9/1/2017 |
| 0.3.0.710-master | 1,447 | 9/1/2017 |
| 0.3.0.709-master | 1,424 | 8/31/2017 |
| 0.3.0.708-master | 1,445 | 8/30/2017 |
| 0.3.0.707-master | 1,393 | 8/30/2017 |
| 0.3.0.706-master | 1,477 | 8/30/2017 |
| 0.3.0.701-master | 1,497 | 6/26/2017 |
| 0.3.0.700-master | 1,439 | 6/22/2017 |
| 0.3.0.699-master | 1,436 | 6/22/2017 |
| 0.3.0.698-master | 1,424 | 6/21/2017 |
| 0.3.0.697-master | 1,482 | 6/21/2017 |
| 0.3.0.696-master | 1,534 | 6/21/2017 |
| 0.3.0.695-master | 1,470 | 6/21/2017 |
| 0.3.0.694-master | 1,450 | 6/21/2017 |
| 0.3.0.693-master | 1,507 | 6/20/2017 |
| 0.3.0.692-master | 1,433 | 6/19/2017 |
| 0.3.0.691-master | 1,457 | 6/19/2017 |
| 0.3.0.690-master | 1,468 | 6/19/2017 |
| 0.3.0.689-master | 1,437 | 5/14/2017 |
| 0.3.0.688 | 9,203 | 5/14/2017 |
| 0.3.0.686-master | 1,390 | 5/14/2017 |
| 0.2.0.591-master | 1,402 | 4/19/2017 |
| 0.2.0.565-master | 1,360 | 4/11/2017 |
| 0.2.0.556-master | 1,390 | 3/21/2017 |
| 0.2.0.551-master | 1,424 | 3/17/2017 |
| 0.2.0.540-master | 1,337 | 3/15/2017 |
| 0.2.0.536-master | 1,369 | 3/14/2017 |
| 0.2.0.519-master | 1,393 | 3/2/2017 |
| 0.2.0.516-master | 1,363 | 3/2/2017 |
| 0.2.0.499-master | 1,389 | 2/13/2017 |
| 0.2.0.494-master | 1,368 | 2/7/2017 |
| 0.2.0.479-master | 1,389 | 2/1/2017 |
| 0.2.0.463-master | 1,398 | 1/17/2017 |
| 0.2.0.431-master | 1,417 | 12/2/2016 |
| 0.2.0.422-master | 1,730 | 11/9/2016 |
| 0.2.0.421-master | 1,673 | 11/9/2016 |
| 0.2.0.411-master | 1,470 | 10/26/2016 |
| 0.2.0.400-master | 1,396 | 10/26/2016 |
| 0.2.0.394-master | 1,378 | 10/25/2016 |
| 0.2.0.382-master | 1,421 | 10/21/2016 |
| 0.2.0.377-master | 1,436 | 10/20/2016 |
| 0.2.0.323-master | 1,354 | 10/11/2016 |
| 0.2.0.262-master | 1,379 | 9/29/2016 |
| 0.2.0.248-master | 1,440 | 9/27/2016 |
| 0.2.0.174-master | 1,426 | 9/16/2016 |
| 0.2.0.128-master | 1,443 | 9/8/2016 |
| 0.2.0.122-master | 1,412 | 9/8/2016 |
| 0.2.0.121-master | 1,403 | 9/7/2016 |
| 0.2.0.111-master | 1,383 | 9/7/2016 |
| 0.2.0.105-ci | 1,452 | 9/5/2016 |
| 0.2.0.97-ci | 1,463 | 8/30/2016 |
| 0.2.0.96-ci | 1,380 | 8/29/2016 |
| 0.2.0.90-ci | 1,434 | 8/25/2016 |
| 0.2.0.89-ci | 1,380 | 8/24/2016 |
| 0.2.0.88-ci | 1,429 | 8/24/2016 |
| 0.2.0.87-ci | 1,407 | 8/24/2016 |
| 0.2.0.86-ci | 1,412 | 8/23/2016 |
| 0.2.0.85-ci | 1,397 | 8/22/2016 |
| 0.2.0.84-ci | 1,426 | 8/22/2016 |
| 0.2.0.83-ci | 1,401 | 8/22/2016 |
| 0.2.0.82 | 2,928 | 8/22/2016 |
| 0.2.0.81-ci | 1,433 | 8/19/2016 |
| 0.2.0.80-ci | 1,456 | 6/27/2016 |
| 0.2.0.79-ci | 1,426 | 6/27/2016 |
| 0.2.0.77-ci | 1,412 | 6/22/2016 |
| 0.2.0.76-ci | 1,434 | 6/22/2016 |
| 0.2.0.75 | 2,223 | 6/15/2016 |
| 0.2.0.74-ci | 1,785 | 6/15/2016 |
| 0.2.0.73 | 2,396 | 6/15/2016 |
| 0.2.0.72 | 2,416 | 6/15/2016 |
| 0.2.0.71 | 2,432 | 6/14/2016 |
| 0.2.0.70 | 2,259 | 6/9/2016 |
| 0.2.0.69 | 2,216 | 6/9/2016 |
| 0.2.0.68 | 2,072 | 6/9/2016 |
| 0.2.0.67 | 2,742 | 6/8/2016 |
| 0.2.0.66-ci | 1,444 | 6/8/2016 |
| 0.2.0.65-ci | 1,433 | 6/8/2016 |
| 0.2.0.64-ci | 1,477 | 6/8/2016 |
| 0.2.0.63-ci | 1,419 | 6/7/2016 |
| 0.2.0.62 | 2,059 | 6/7/2016 |
| 0.2.0.61 | 2,028 | 6/6/2016 |
| 0.2.0.60 | 2,009 | 6/6/2016 |
| 0.2.0.59 | 1,985 | 6/6/2016 |
| 0.2.0.57 | 2,086 | 6/3/2016 |
| 0.2.0.56 | 2,053 | 6/3/2016 |
| 0.2.0.55 | 2,100 | 6/3/2016 |
| 0.2.0.54 | 2,089 | 6/3/2016 |
| 0.2.0.53 | 2,569 | 6/3/2016 |
| 0.2.0.52-ci | 1,401 | 6/2/2016 |
| 0.2.0.51-ci | 1,427 | 6/2/2016 |
| 0.2.0.50-ci | 1,456 | 6/2/2016 |
| 0.2.0.49 | 2,525 | 5/31/2016 |
| 0.2.0.48-ci | 1,503 | 5/31/2016 |
| 0.2.0.46-ci | 1,433 | 5/31/2016 |
| 0.2.0.45 | 2,248 | 5/31/2016 |
| 0.2.0.44 | 2,291 | 5/31/2016 |
| 0.2.0.43 | 2,222 | 5/31/2016 |
| 0.2.0.42 | 2,217 | 5/30/2016 |
| 0.2.0.41 | 2,287 | 5/30/2016 |
| 0.2.0.40 | 2,250 | 5/30/2016 |
| 0.2.0.39 | 2,331 | 5/30/2016 |
| 0.2.0.38 | 2,262 | 5/30/2016 |
| 0.2.0.37 | 2,246 | 5/30/2016 |
| 0.2.0.36 | 2,271 | 5/25/2016 |
| 0.2.0.35 | 2,253 | 5/24/2016 |
| 0.2.0.34 | 2,273 | 5/24/2016 |
| 0.2.0.33 | 3,253 | 5/24/2016 |
| 0.2.0.32-ci | 1,446 | 5/24/2016 |
| 0.1.26-ci | 1,467 | 5/24/2016 |
| 0.1.24-ci | 1,408 | 5/24/2016 |
| 0.1.19-ci | 1,442 | 5/24/2016 |
Initial release.