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Document-Classification-and-Post-OCR-Key-Value-Extraction
Document Classification and Post-OCR Key Value ExtractionData-Driven-Cycling-and-Workout-Prediction
Data-Driven Cycling using Strava data and GPX data analysis. Digital Personal Trainer using old cycling workout data to predict new workoutsTRPlateBot-LUIS-Translator
Chatbot Uygulamalarınızda LUIS entegrasyanunuza Türkçe Dil Anlama Özelliği eklemek için Translator özelliğin eklenmesiOCRVisualizer
Microsoft Cognitive Services, Computer Vision API, OCR Visualizer on documentsConversational-AI-Design-Guidance
This documentation is for Bot Framework Conversational AI Design GuidanceBot-Framework-and-OCR-Extract
Bot Framework v4 and OCR ExtractDigital-Travel-Assistant
Digital travel assistant is a chatbot service developed using Bot Framework v4, LUIS.ai NLP Service and Microsoft Cognitive Services Text TranslatorCustom-Vision-Prediction-Ornegi
CustomVision.ai alt yapısını kullanarak görüntü işleme ile fotoğrafların içeriğinin belirlenmesiBotTranslator
Bots are the new apps, and bots're becoming trend day by day in our daily life. Developers consider this platform for consumer and commercial usage to reach their users via social media or through a Line Of Business (LOB) applications using embedded bots.Azure-Functions-with-Python
Here is my first sample with Azure Functions with Python using NTLK package for Text AnalyticsBot-Framework-v4-with-Azure-Search
This is a demo for Azure Search with Bot Framework v4 C# application.Azure-Cognitive-Search
This repository contains learning materials related to Azure Cognitive Search.IlkBotFrameworkOrnegi
Ilk BotFramework OrnegiLUIS.AI-with-QnAMaker---Connecting-a-ChatBot-with-Multiple-Knowledbases
In this sample we'll how to connect an NLP solution (LUIS) with a FAQ knowledge base (QnAMaker) using Node.js with Azure Bot Services.Microsoft-Cognitive-Services---Computer-Vision
Microsoft Cognitive Services'ten Computer Vision API'ın kullanılmasıAI-ML-Workshop
This an Artificial Intelligence/Machine Learning content for workshop. This content is focusing on Introduction to AI & ML, Microsoft Cognitive Service, Machine Learning & Deep Learning and Custom VisionXamarin-Samples
Bu repository'de özellikle Xamarin.Forms ve Xamarin Native Başlangıç örneklerini bulabilirsiniz.TRPlateBot
Bot Framework kullanarak araç plaka kodları ve isimlere göre gösteren bot örneğiBotTranslator-1
Translator bot using Microsoft Bot FrameworkFirarperestX
Firarperest is a Cross Platform Mobile Application with Xamarin to showcase my Photo Portfolio. I love photography and I compile photos on my personal blog whenever I visit new places. All photos are hosted on http://ikivanc.tumblr.com .Using Xamarin new capabilities I would like to add new features such as stylish User Interface, data visulisation on map, places visited by country, photo gallery and so on.Mobile-DevOps
DevOps yeni bir trend ve mobil dünya için de çok fazla araç mevcut. Mobile DevOps tarafında Microsoft’un son satın almaları ile birlikte uçtan uca tüm mobil uygulama geliştiricilere neler sunduğuna birlikte göz atacağız. Bu yazıda Mobil uygulamalarınız için Adım Adım Mobile DevOps süreçlerini birlikte entegre edeceğiz.Azure-ML-Workbench-Iris-Dataset-Classification
This demo contains all the steps for using Azure ML Workbench. Data wrangling, Data Preperation, Discovering data on Jupyter Notebook, using scikit to build a model, exporting model and then publishing model to Azure Model Management.Ankara-Zirvesi-2018---Verigi-Botu
LUIS-Application-and-Bot-Builder-tools
Manage your LUIS Application via Bot Builder toolsFirarperestVS2017
Update to VS2017Custom-Vision-Object-Detection-Sample
Object detection using customvision.ai, step by step scripts on jupyter notebookTeknoloji-Zirvesi-2018-Car-Rental-Bot
This demo developed for "Microsoft Teknoloji Zirvesi 2018" event for Intelligent Cloud track.TRPlateBot-LUIS
Şehir-Plaka kodu örneği için ve Doğal Dil İşleme (Natural Language Processing - NLP) servisinin entegre edilme örneği.Teknoloji-Zirvesi-2018-Intelligent-Retail-Demo
This demo developed for "Microsoft Teknoloji Zirvesi 2018" event for Intelligent Cloud track.Mobile-DevOps-EN
First Upload of English version of Mobile DevOps steps for Mobile ApplicationsFreshness-and-Boosting-for-Azure-Cognitive-Search
Azure Cognitive Search, Freshnes and Boosting techniques for Information Retrieval SystemsHappinessIndex
In this project we worked on a scenario which our device and a camera is located right next to the teller who is talking to a customer in a bank's branch. UWP app running on RPI2 takes the picture of the customer from time-to-time and processeses. This system is running on each and every teller in all the branches of the bank. As we already know the customer because teller already opened up the bank's standard banking app when they first welcomed the customer. We pass all those pictures taken to Microsoft Cognitive Services and receive the emotional data from it.Love Open Source and this site? Check out how you can help us