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a.i-natural-language-processing

Natural Language processing, a branch of machine learning science that deals with the interactions of humans language and computer such that computer gets to understand human language and extract meaning from it. Natural language is very important to solve complex problems in our real life situation. Imagine a world where every intelligent devices has the capabilty to process human language in different ways, so many problems we are facing will be covered up! This is the mission to teach machines to understand human language to bring the empowerment sections of A.I into our world day to day live activities

agora-unity-audio-broadcasting

agora-unity-mobile-sampleapp

androidcamera

androidcameraocr

angrybots_ecs

The DOTS project used for the presentation Converting Your Game to DOTS

app-coffeecups

Coffee Consumption App built with Xamarin.Forms and Azure Mobile Apps

ar-drawing-java

A simple AR drawing experiment build in Java using ARCore.

ar-remote-support

This is a POC of how to build a Remote support app (similar to Vuforia Chalk) using ARKit and Agora.io's Video SDK.

arcore-depth-lab

ARCore Depth Lab is a set of Depth API samples that provides assets using depth for advanced geometry-aware features in AR interaction and rendering. (UIST 2020)

arcoreagora

arduino-project

Contaning Webservers, Servo and Many other in this IoT Project

arfoundation-demos

AR Foundation demo projects

arfoundation-samples

Example content for Unity projects based on AR Foundation

arfoundationwithandroid

Paint meshes on AR space

arremote

AR Remote Assistance that uses Agora.io Video chat

artificial-neural-networks

Neural networks are a set of algorithms, modeled loosely after the human brain, that are designed to recognize patterns. They interpret sensory data through a kind of machine perception, labeling or clustering raw input. The patterns they recognize are numerical, contained in vectors, into which all real-world data, be it images, sound, text or time series, must be translated. Neural networks help us cluster and classify. You can think of them as a clustering and classification layer on top of the data you store and manage. They help to group unlabeled data according to similarities among the example inputs, and they classify data when they have a labeled dataset to train on. (Neural networks can also extract features that are fed to other algorithms for clustering and classification; so you can think of deep neural networks as components of larger machine-learning applications involving algorithms for reinforcement learning, classification and regression.)

arunityclient

Demonstration on how to use Agora Video SDK in a AR screen sharing scenario

assetbundles

awesome-game-networking

A Curated List of Game Network Programming Resources

azure-mobile-app

azure-mobile-apps-xamarin-forms-quickstart

The Azure Mobile Apps Quickstart Sample (TodoList) project for Xamarin Forms

blog-google-spreadsheets-api

An example of reading\writing data from\to Google Sheets API

c-sharp-promise

Promises library for C# for management of asynchronous operations.

character-template

Template character controller for Unity projects

cleanarchitecture

Clean Architecture Solution Template: A starting point for Clean Architecture with ASP.NET Core

convolutional-neural-networks---python

deep artificial neural networks that are used primarily to classify images (e.g. name what they see), cluster them by similarity (photo search), and perform object recognition within scenes. They are algorithms that can identify faces, individuals, street signs, tumors, platypuses and many other aspects of visual data. Convolutional networks perform optical character recognition (OCR) to digitize text and make natural-language processing possible on analog and hand-written documents, where the images are symbols to be transcribed. CNNs can also be applied to sound when it is represented visually as a spectrogram. More recently, convolutional networks have been applied directly to text analytics as well as graph data with graph convolutional networks.

cortana-uwp

UWP app for windows 10 Cortana. Contains the speech parks and text xml voice sythesizer for ready parks voices and and ready to be attached to your UWP app.

cortana-uwp-10

UWP app for windows 10 Cortana. Contains the speech parks and text xml voice sythesizer for ready parks voices and and ready to be attached to your UWP app.

dashboard

General-purpose web UI for Kubernetes clusters