NumSharp 0.20.0-alpha1
See the version list below for details.
dotnet add package NumSharp --version 0.20.0-alpha1
NuGet\Install-Package NumSharp -Version 0.20.0-alpha1
<PackageReference Include="NumSharp" Version="0.20.0-alpha1" />
paket add NumSharp --version 0.20.0-alpha1
#r "nuget: NumSharp, 0.20.0-alpha1"
// Install NumSharp as a Cake Addin
#addin nuget:?package=NumSharp&version=0.20.0-alpha1&prerelease
// Install NumSharp as a Cake Tool
#tool nuget:?package=NumSharp&version=0.20.0-alpha1&prerelease
NumSharp is the fundamental package for scientific computing with dot NET. It has implemented the arange, array, max, min, reshape, normalize, unique and random interfaces and so on. More and more interfaces will be added to the library gradually. If you want to use .NET to get started with machine learning, NumSharp will be your best tool library.
Product | Versions Compatible and additional computed target framework versions. |
---|---|
.NET | net5.0 was computed. net5.0-windows was computed. net6.0 was computed. net6.0-android was computed. net6.0-ios was computed. net6.0-maccatalyst was computed. net6.0-macos was computed. net6.0-tvos was computed. net6.0-windows was computed. net7.0 was computed. net7.0-android was computed. net7.0-ios was computed. net7.0-maccatalyst was computed. net7.0-macos was computed. net7.0-tvos was computed. net7.0-windows was computed. net8.0 was computed. net8.0-android was computed. net8.0-browser was computed. net8.0-ios was computed. net8.0-maccatalyst was computed. net8.0-macos was computed. net8.0-tvos was computed. net8.0-windows was computed. |
.NET Core | netcoreapp2.0 was computed. netcoreapp2.1 was computed. netcoreapp2.2 was computed. netcoreapp3.0 was computed. netcoreapp3.1 was computed. |
.NET Standard | netstandard2.0 is compatible. netstandard2.1 was computed. |
.NET Framework | net461 was computed. net462 was computed. net463 was computed. net47 was computed. net471 was computed. net472 was computed. net48 was computed. net481 was computed. |
MonoAndroid | monoandroid was computed. |
MonoMac | monomac was computed. |
MonoTouch | monotouch was computed. |
Tizen | tizen40 was computed. tizen60 was computed. |
Xamarin.iOS | xamarinios was computed. |
Xamarin.Mac | xamarinmac was computed. |
Xamarin.TVOS | xamarintvos was computed. |
Xamarin.WatchOS | xamarinwatchos was computed. |
-
.NETStandard 2.0
- System.Memory (>= 4.5.3)
- System.Runtime.CompilerServices.Unsafe (>= 4.5.2)
NuGet packages (19)
Showing the top 5 NuGet packages that depend on NumSharp:
Package | Downloads |
---|---|
Microsoft.Quantum.Simulators
Classical simulators of quantum computers for the Q# programming language. |
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Microsoft.Quantum.Standard
Microsoft's Quantum standard libraries. |
|
Bigtree.Algorithm
Machine Learning library in .NET Core. |
|
Microsoft.Quantum.Standard.Visualization
Provides IQ# visualization support for Microsoft's Q# standard libraries. |
|
our1314.work
Package Description |
GitHub repositories (9)
Showing the top 5 popular GitHub repositories that depend on NumSharp:
Repository | Stars |
---|---|
stakira/OpenUtau
Open singing synthesis platform / Open source UTAU successor
|
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SciSharp/NumSharp
High Performance Computation for N-D Tensors in .NET, similar API to NumPy.
|
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kendryte/nncase
Open deep learning compiler stack for Kendryte AI accelerators ✨
|
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SciSharp/SiaNet
An easy to use C# deep learning library with CUDA/OpenCL support
|
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microsoft/qsharp-runtime
Runtime components for Q#
|
Version | Downloads | Last updated |
---|---|---|
0.30.0 | 265,840 | 2/14/2021 |
0.20.5 | 691,819 | 12/31/2019 |
0.20.4 | 322,342 | 10/5/2019 |
0.20.3 | 3,474 | 9/28/2019 |
0.20.2 | 2,372 | 9/11/2019 |
0.20.1 | 17,679 | 9/1/2019 |
0.20.0 | 3,666 | 8/20/2019 |
0.10.6 | 26,359 | 7/24/2019 |
0.10.5 | 2,437 | 7/22/2019 |
0.10.4 | 2,394 | 7/18/2019 |
0.10.3 | 11,519 | 6/15/2019 |
0.10.2 | 2,103 | 5/25/2019 |
0.10.1 | 3,594 | 5/11/2019 |
0.10.0 | 2,328 | 5/5/2019 |
0.9.0 | 3,313 | 4/15/2019 |
0.8.3 | 1,959 | 3/29/2019 |
0.8.2 | 2,687 | 3/25/2019 |
0.8.1 | 2,123 | 3/22/2019 |
0.8.0 | 2,253 | 3/12/2019 |
0.7.4 | 1,829 | 3/7/2019 |
0.7.3 | 501,984 | 2/20/2019 |
0.7.2 | 2,272 | 2/18/2019 |
0.7.1 | 2,306 | 2/12/2019 |
0.7.0 | 1,886 | 1/28/2019 |
0.6.6 | 2,272 | 1/26/2019 |
0.6.5 | 2,317 | 1/11/2019 |
0.6.4 | 2,320 | 1/7/2019 |
0.6.3 | 1,845 | 12/30/2018 |
0.6.2 | 5,735 | 12/27/2018 |
0.6.1 | 1,836 | 12/26/2018 |
0.6.0 | 1,911 | 12/21/2018 |
0.5.0 | 1,888 | 12/5/2018 |
0.4.0 | 1,798 | 11/21/2018 |
0.3.0 | 1,818 | 11/7/2018 |
0.2.0 | 3,867 | 10/29/2018 |
0.1.0 | 2,022 | 10/10/2018 |
Main changes since v0.10
- Rewrite n-d array storage.
- Performance improvements.
- All interfaces have are re-implemented.
- Revamped np.dot
- Revamped and optimized math operators algorithms
- Revamped np.shuffle
- Added np.mod and % operator between NDArrays
- Added NDArray.Unsafe which allows unmamanged access to the array's memory and other internal fields like access to UnmanagedStorage
- Added debug.assert for memory accessing methods in ArraySlice.
- Ported UnmanagedMemoryBlock and ArraySlice to use long.
- Reimplemented Fill and Slice methods of UnmanagedMemoryBlock`1 and ArraySlice`1 from coreclr source of Span<T>.
- Added BIT64 conditional compilation symbol.
- Significatly increased the performance of NDArray.SetData in a common case.
- Added NPTypeCode.GetDefaultValue
- Perf-ops for NDArray's operator overloads
- Added NDArray operators for boolean cases
- Fixed over a dozen of bugs