Search Results for "sharp develop"

Conversation as a platform (CaaP) is the future, so it's perfect that we're already offering the whole toolkits to our .NET developers using the BotSharp AI BOT Platform Builder to build a CaaP. It opens up as much learning power as possible for your own robots and precisely control every step of the AI processing pipeline. BotSharp is an open source machine learning framework for AI Bot platform builder. This project involves natural language understanding, computer vision and audio...

TensorFlow.NET (TF.NET) provides a .NET Standard binding for TensorFlow. It aims to implement the complete Tensorflow API in C# which allows .NET developers to develop, train and deploy Machine Learning models with the cross-platform .NET Standard framework. TensorFlow.NET has built-in Keras high-level interface and is released as an independent package TensorFlow.Keras. SciSharp STACK's mission is to bring popular data science technology into the .NET world and to provide .NET developers...

The idea is to enhance and develop the national border crossing process by the integration of automated vehicle recognition while crossing country borders. i'm going to use Automatic number plate recognition (ANPR): a system that recognizes the numbers of the vehicle plates by using OCR (optical character recognition) technology and Infrared cameras. This is going to be achieved by taking the license plate image from the camera and processing it using the software I’m going to develop...

It's a student project for SUPINFO .Net labs. It consist to develop a speech-recognition engine for a few words with a database of .vocal stamps.

A Silverlight framework that makes it easy to develop games and applications simulating creatures that interacts with eachother.

Lithops (the flowering stones) is a program that plays the game of Go. I develop Lithops as a research challenge, but also, importantly, to create a computerized partner for people learning and studying Go.

EBBA is a project aiming to develop an advanced chatbot by combining AIML, 3d facial expressions, speech synthesizer, speech recognition and an iq-test solving functionality.

In this project we develop algorithms that can solve a cooperative problem between four agent types, and their goal is to repair a surface time-efficiently, and a multi-agent simulator application to parametrize, animate, and test the solution.

This project attempts to develop natural language processing routines as applied to a Bible text domain. Many common technologies (e.g., tokenization, Brill POS tagger) are used in conjunction with theoretical paradigms (e.g., hierarchical word definition trees, phrasal concordance).