Search Results for "c# develop"

MIVisionX toolkit is a set of comprehensive computer vision and machine intelligence libraries, utilities, and applications bundled into a single toolkit. AMD MIVisionX delivers highly optimized open-source implementation of the Khronos OpenVX™ and OpenVX™ Extensions along with Convolution Neural Net Model Compiler & Optimizer supporting ONNX, and Khronos NNEF™ exchange formats. The toolkit allows for rapid prototyping and deployment of optimized computer vision and machine learning...

Easily collect, transform, and transfer vehicle data to the cloud in near-real-time. AWS IoT FleetWise makes it easy and cost-effective for automakers to collect, transform, and transfer vehicle data to the cloud in near-real-time and use it to build applications with analytics and machine learning that improve vehicle quality, safety, and autonomy. Train autonomous vehicles (AVs) and advanced driver assistance systems (ADAS) with camera data collected from a fleet of production vehicles....

...The tutorial focuses on networks related to computer vision, and includes the use of live cameras. You’ll also get to code your own easy-to-follow recognition program in Python or C++, and train your own DNN models onboard Jetson with PyTorch. Ready to dive into deep learning? It only takes two days. We’ll provide you with all the tools you need, including easy to follow guides, software samples such as TensorRT code, and even pre-trained network models including ImageNet and DetectNet examples. Follow these directions to integrate deep learning into your platform of choice and quickly develop a proof-of-concept design.

...The VLE environment provides an IDE to develop C++ models, DEVS coupled models. VLE have also three ports to use the VFL with Python, Java and R programming languages.

This project aims to develop and share fast frequent subgraph mining and graph learning algorithms. Currently we release the frequent subgraph mining package FFSM and later we will include new functions for graph regression and classification package

Highly modularized Reinforcement Learning library for real/simulation robots to learn behaviors. Our ultimate goal is to develop an artificial intelligence (AI) program with which the robots can learn to behave as their users wish.

This library contains among other things a set of graphical widgets for video output, performance evaluation and augmented reality. The library also provides classes for several data types usually required by computer vision and image processing applications such as vectors, matrices, quaternions and images. Thanks to a large number of wrapper functions these objects can be used with highly efficient functionality from third party libraries such as OpenCV, GNU Scientific Library,...

Igisoro is an african board game developped in c++. It is OS portable and can be used to develop artificial intelligence algorithms with plugins.

ManFieLd is an easy-to-use framework to develop filtering applications for Distributed System, relieving the burden of the developer to write the support code for the filtering methods.

This project aims to develop a method to identify communities in a social network according to some point of view.

Video processing and computer vision library for GNU/Linux offering interfaces to do image- and video-I/O with ImageMagick/Magick++, Xine, firewire digital camera (DC1394), and video for linux (V4L2). Note that this version of HornetsEye is deprecated. HornetsEye now is released as multiple packages on RubyGems.org. The source code is available on Github.com (see https://wedesoft.github.io/hornetseye-doc/ for more information).

sciSoccer is a framework to develop strategies for soccer playing robots like RobotCup. It is composed by libraries for robot communication, video capturing, image recognition, strategy implementation and a graphical user interface.

The XCS library aims at providing an opensource framework to study and develop applications related to learning classifier systems. In particular, it is focused on the learning classifier system models introduced by Stewart Wilson in [1,2]. <p> [1

Develop a neural network-based extension of Hebb/Hopfield networks to obtain powerful associative memory engine, capable of storing complex structured data, subject to its internal organization. Provide capability of patterns "blending".

Fast Haar-like object detection develop to CELL processor based plataform. This is reimplementing stump based algorithm of OpenCV library.

The aim of this project is to develop an agent for Robocup3d. Evolution algorithms will be used to teach the agent all the required things, from basic movement to more complicated things like formations and team play.

a simple c/s framework software to play Reversi game also known as Othelo, with a well developed AI client, one could develop his/her own client too. Please refer to https://github.com/aijunbai/reversi.git for possible updates.

IPA library is a platform developed for image processing and analysis. It composed by a lot of class of algorithms and functions with loose coupling, which can help users to develop professional applications of image processing or computer vision rapidly

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.

The goal of this project is to learn about and develop an AI. Current path is using a bot on AIM.

The genesis-ai project is an attempt to develop complex neural network behavior by means of evolutionary techniques.

This project aims to develop various tools for artificial life and complex systems simulations: from the simulator itself to generic generation tools.

The aim of this project is to develop a software to assist speech recognition systems users by displaying outputs of their systems.

Welcome to Molecubes! This project aims to develop open modular robotic framework envisioned as a universal, robust, and low cost alternative to a variety of specialized robots with fixed body structure and functions.

A platform (SDK) to create an open Arena where developers can program and develop teams and/or individual bots to compete against each other