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release v0.5
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src/NumSharp.Core/NumSharp.Core.csproj

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<TargetFramework>netstandard2.0</TargetFramework>
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<GeneratePackageOnBuild>true</GeneratePackageOnBuild>
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<PackageRequireLicenseAcceptance>true</PackageRequireLicenseAcceptance>
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<Authors>Haiping Chen, Christian Kahr, Darren Schroeder</Authors>
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<Authors>Haiping Chen, Christian Kahr</Authors>
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<Description>NumPy is the fundamental package for scientific computing with dot NET. NumSharp 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.</Description>
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<PackageProjectUrl>https://github.com/Oceania2018/NumSharp</PackageProjectUrl>
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<Copyright>Apache 2.0</Copyright>
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<RepositoryUrl>https://github.com/Oceania2018/NumSharp</RepositoryUrl>
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<PackageReleaseNotes>Performance improved for np.arange.
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Added axis support for np.amin and np.amax.
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Separate PowerShell extension project.
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Added IronPython extension project.
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Remove all dynamic variable.
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Added benchmark project.
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Remove all LINQ syntax due to low performance.
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Added Span for memory access.
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Added np.sqrt.
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Added np.normal
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Implemented IEnumerable interface for NDArray.
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Updated online documents.</PackageReleaseNotes>
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<AssemblyVersion>0.4.0.0</AssemblyVersion>
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<FileVersion>0.4.0.0</FileVersion>
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<PackageReleaseNotes>Abstract storage and shape from NDArray.
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Support dynamic dtype, make generic NDArray inherit from NDArray.
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Add string[] and bool[] storage.
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Updated online documents.
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Add np.ravel, np.transpose.</PackageReleaseNotes>
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<AssemblyVersion>0.5.0.0</AssemblyVersion>
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<FileVersion>0.5.0.0</FileVersion>
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<RepositoryType>git</RepositoryType>
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<PackageTags>NumPy, NumSharp, MachineLearning, Math, Scientific, Numeric</PackageTags>
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<Version>0.4.0</Version>
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<Version>0.5.0</Version>
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<PackageLicenseUrl>https://raw.githubusercontent.com/Oceania2018/NumSharp/master/LICENSE</PackageLicenseUrl>
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<LangVersion>latest</LangVersion>
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<PackageIconUrl>https://avatars3.githubusercontent.com/u/44989469?s=200&amp;v=4</PackageIconUrl>
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<PackageId>NumSharp</PackageId>
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<Product>NumSharp</Product>
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<Company>SciSharp.org</Company>
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</PropertyGroup>
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<PropertyGroup Condition="$([System.Text.RegularExpressions.Regex]::IsMatch('$(TargetFramework)', '^net\d'))">

src/NumSharp.PowerShell/NumSharp.PowerShell.csproj

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</PropertyGroup>
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<ItemGroup>
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<PackageReference Include="Microsoft.PowerShell.SDK" Version="6.0.0">
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<PackageReference Include="Microsoft.PowerShell.SDK" Version="6.1.1">
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<PrivateAssets>all</PrivateAssets>
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</PackageReference>
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<PackageReference Include="NumSharp" Version="0.5.0" />
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<PackageReference Include="System.Drawing.Common" Version="4.5.1" />
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</ItemGroup>
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src/NumSharp.Python/NumSharp.Python.csproj

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<Project Sdk="Microsoft.NET.Sdk">
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<ItemGroup>
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<PackageReference Include="NumSharp" Version="0.5.0" />
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<PackageReference Include="System.Numerics.Vectors" Version="4.5.0" />
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</ItemGroup>
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test/NumSharp.Benchmark/NumSharp.Benchmark.csproj

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</ItemGroup>
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<ItemGroup>
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<PackageReference Include="BenchmarkDotNet" Version="0.11.2" />
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<PackageReference Include="BenchmarkDotNet" Version="0.11.3" />
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<PackageReference Include="Microsoft.CSharp" Version="4.5.0" />
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<PackageReference Include="NumSharp" Version="0.5.0" />
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<PackageReference Include="System.Numerics.Vectors" Version="4.5.0" />
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</ItemGroup>
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test/NumSharp.UnitTest/NumSharp.UnitTest.csproj

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<ItemGroup>
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<PackageReference Include="Microsoft.CSharp" Version="4.5.0" />
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<PackageReference Include="NumSharp" Version="0.5.0" />
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<PackageReference Include="System.Numerics.Vectors" Version="4.5.0" />
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</ItemGroup>
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<ItemGroup>
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<PackageReference Include="Microsoft.NET.Test.Sdk" Version="15.9.0" />
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<PackageReference Include="MSTest.TestAdapter" Version="1.3.2" />
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<PackageReference Include="MSTest.TestFramework" Version="1.3.2" />
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<PackageReference Include="MSTest.TestAdapter" Version="1.4.0" />
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<PackageReference Include="MSTest.TestFramework" Version="1.4.0" />
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</ItemGroup>
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<ItemGroup>

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