Top 20 NuGet ai Packages
This is a face recognition utility based on ArcSoft SDK 1.x for Windows platform.It can support multiple faces comparison.
This is a face recognition utility based on ArcSoft SDK 1.x for Windows platform.It can support multiple faces comparison.
Microsoft Vision Skill Interface
Utilize ML5 Library from c# in Blazor Client.Play with Teachable Machine models or Create a Neural Network model or use a Image Classifier or Sound Classifier or YOLO or COCOSSD model or PoseNet model , visit Github for documentation.
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Base class library for Red Marble's Edison framework.
Basic Chatbot with plugins 2020
This library implements .NET support for adaptive dialogs with Microsoft Teams
Library for parsing LU content
Speech CLI (SPX) is a command line tool for using the Speech service without writing any code. See https://docs.microsoft.com/azure/cognitive-services/speech-service/spx-overview for more information.
Contains Bot Builder SDK extensions for developing bots for Microsoft Teams exposing functionality which is otherwise not present in Bot Builder SDK.
Contains Bot Builder SDK extensions for developing bots for Microsoft Teams exposing functionality which is otherwise not present in Bot Builder SDK.
Contains Bot Builder SDK extensions for developing bots for Microsoft Teams exposing functionality which is otherwise not present in Bot Builder SDK.
WeightedSelector.NET lets you assign weights to a set of choices, then make intelligent decisions based on each choice's proportion of the total weight.
This simple concept is useful for machine learning scenarios where choices need to be made based on dynamic factors. Great examples include sugg...
A simple neural network implementation in .NET and C#
.Net Implementation of w2v for those who want to use goolglr word2vec tools in theirs .net solutions. See github page for easy start.
Easy to use AIML BOT for web apps
A powerful neural network library for creating perceptron for classifying inputs. Also see SodiumPlusTraining for training neural networks using the error backpropagation approach.