PyTorch implementation of StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation. StarGAN can flexibly translate an input image to any desired target domain using only a single generator and a discriminator.

StarGAN - Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation

JavaCV uses wrappers from the JavaCPP Presets of commonly used libraries by researchers in the field of computer vision (OpenCV, FFmpeg, libdc1394, PGR FlyCapture, OpenKinect, librealsense, CL PS3 Eye Driver, videoInput, ARToolKitPlus, and flandmark), and provides utility classes to make their functionality easier to use on the Java platform, including Android.

javacv - Java interface to OpenCV, FFmpeg, and more

The Accord.NET project provides machine learning, statistics, artificial intelligence, computer vision and image processing methods to .NET. It can be used on Microsoft Windows, Xamarin, Unity3D, Windows Store applications, Linux or mobile.
 
After merging with the AForge.NET project, the framework now offers a unified API for learning/training machine learning models that is both easy to use and extensible. 
 
It supports Vector Machines , Logistic Regression , Decision Trees , Neural Networks , Deep Learning (Deep Neural Networks), Levenberg-Marquardt with Bayesian Regularization , Restricted Boltzmann Machines , Sequence classification , Hidden Markov Classifiers and Hidden Conditional Random Fields, Multiple linear regression , Multivariate linear regression , polynomial regression , logarithmic regression.
 
 Clustering algorithms like K-Means , K-Modes , Mean-Shift , Gaussian Mixture Models , Binary Split, Image processing, Load, parse, save, filter and transform audio signals, Real-time face detection and tracking , as well as general methods for detecting , tracking and transforming objects in image streams and lot more.

The Accord.NET project provides machine learning, statistics, artificial intelligence, computer vision and image processing methods to .NET. It can be used on Microsoft Windows, Xamarin, Unity3D, Windows Store applications, Linux or mobile.

Accord.NET - Machine learning, Computer vision, Statistics and general scientific computing for .NET

Jina is a neural search framework that empowers anyone to build SOTA & scalable deep learning search applications in minutes. It helps to build solutions for indexing, querying, understanding multi-/cross-modal data such as video, image, text, audio, source code, PDF.

Jina - Cloud-native neural search framework for any kind of data

AutoGluon automates machine learning tasks enabling you to easily achieve strong predictive performance in your applications. With just a few lines of code, you can train and deploy high-accuracy machine learning and deep learning models on image, text, and tabular data.
 
<ul>
<li>Quickly prototype deep learning and classical ML solutions for your raw data with a few lines of code.</li>
<li>Automatically utilize state-of-the-art techniques (where appropriate) without expert knowledge.</li>
<li>Leverage automatic hyperparameter tuning, model selection/ensembling, architecture search, and data processing.</li>
<li>Easily improve/tune your bespoke models and data pipelines, or customize <cite>AutoGluon</cite> for your use-case.</li>
</ul>

AutoGluon automates machine learning tasks enabling you to easily achieve strong predictive performance in your applications. With just a few lines of code, you can train and deploy high-accuracy machine learning and deep learning models on image, text, and tabular data.

AutoGluon - AutoML for Text, Image, and Tabular Data

Meshroom is a free, open-source 3D Reconstruction Software based on the AliceVision framework. AliceVision is a Photogrammetric Computer Vision Framework which provides 3D Reconstruction and Camera Tracking algorithms. AliceVision comes up with strong software basis and state-of-the-art computer vision algorithms that can be tested, analyzed and reused.


Meshroom - 3D Reconstruction Software

AirSim is a simulator for drones (and soon other vehicles) built on Unreal Engine. It is open-source, cross platform and supports hardware-in-loop with popular flight controllers such as PX4 for physically and visually realistic simulations. It is developed as an Unreal plugin that can simply be dropped in to any Unreal environment you want.
 
Our goal is to develop AirSim as a platform for AI research to experiment with deep learning, computer vision and reinforcement learning algorithms for autonomous vehicles. For this purpose, AirSim also exposes APIs to retrieve data and control vehicles in a platform independent way.

AirSim is a simulator for drones (and soon other vehicles) built on Unreal Engine. It is open-source, cross platform and supports hardware-in-loop with popular flight controllers such as PX4 for physically and visually realistic simulations. It is developed as an Unreal plugin that can simply be dropped in to any Unreal environment you want.

AirSim - Open source simulator based on Unreal Engine for autonomous vehicles from Microsoft AI & Research

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StarGAN - Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation

javacv - Java interface to OpenCV, FFmpeg, and more

Accord.NET - Machine learning, Computer vision, Statistics and general scientific computing for .NET

Jina - Cloud-native neural search framework for any kind of data

AutoGluon - AutoML for Text, Image, and Tabular Data

Meshroom - 3D Reconstruction Software

AirSim - Open source simulator based on Unreal Engine for autonomous vehicles from Microsoft AI & Research

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StarGAN - Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation

javacv - Java interface to OpenCV, FFmpeg, and more

Accord.NET - Machine learning, Computer vision, Statistics and general scientific computing for .NET

Jina - Cloud-native neural search framework for any kind of data

AutoGluon - AutoML for Text, Image, and Tabular Data

Meshroom - 3D Reconstruction Software

AirSim - Open source simulator based on Unreal Engine for autonomous vehicles from Microsoft AI & Research

TechStack

Tagcloud

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