The referencesource repository contains sources from Microsoft .NET Reference Source that represent a subset of the .NET Framework. This subset contains similar functionality to the class libraries that are being developed in .NET Core. We intend to consult the referencesource repository as we develop .NET Core. It is also for the community to leverage to enable more scenarios for .NET developers. 

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PM> Install-Package Accord.MachineLearning

PM> Install-Package Accord.Imaging  

PM> Install-Package Accord.Neuro

            // ورودی
            double[][] inputs =
            {
                new double[] { 0, 0 }, // 0 xnor 0: 1 (label +1)
                new double[] { 0, 1 }, // 0 xnor 1: 0 (label -1)
                new double[] { 1, 0 }, // 1 xnor 0: 0 (label -1)
                new double[] { 1, 1 }  // 1 xnor 1: 1 (label +1)
            };

            // خروجی دسته بند ماشین بردار پشتیبان باید -1 یا +1 باشد
            int[] labels =
            {
                // 1,  0,  0, 1
                   1, -1, -1, 1
            };

            // ساخت کرنل
            IKernel kernel = createKernel();

            // ساخت دسته بند به کمک کرنل انتخابی و تنظیم تعداد ویژگی‌ها ورودی‌ها به مقدار 2
            KernelSupportVectorMachine machine = new KernelSupportVectorMachine(kernel, 2);

        private static IKernel createKernel()
        {
            //var numPolyConstant = 1;
            //return new Linear(numPolyConstant);            

            //var numDegree = 2;
            //var numPolyConstant = 1;
            //return new Polynomial(numDegree, numPolyConstant);

            //var numLaplacianSigma = 1000;
            //return new Laplacian(numLaplacianSigma);

            //var numSigAlpha = 7;
            //var numSigB = 6;
            //return new Sigmoid(numSigAlpha, numSigB);

            var numSigma = 0.1;
            return new Gaussian(numSigma);
        }

            // معرفی دسته بندمان به الگوریتم یادگیری SMO
            SequentialMinimalOptimization teacher_smo = new SequentialMinimalOptimization(machine_svm, inputs, labels);

            // اجرای الگوریتم یادگیری
            double error = teacher_smo.Run();
            Console.WriteLine(string.Format("error rate : {0}", error));

PM> Update-Package

• Accessibility improvements in narration, high contrast and focus control areas
• .NET Framework support for .NET Standard 2.0 and compiler features
• More secure SHA-2 support in ASP.NET and System.Messaging
• Configuration builders
• ASP.NET Execution step feature
• ASP.NET HttpCookie parsing
• Enhancements in Visual Tree for WPF applications
• Performance and reliability improvements 

Install-Package Mongo2Go

using (var runner = MongoDbRunner.Start())
{
   var client = new MongoClient(runner.ConnectionString);
   var database = client.GetDatabase("IntegrationTest");
   var collection = database.GetCollection<TestDocument>("TestCollection");
   //Just use it!
}