OhmNet: Representation learning in multi-layer graphs
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Updated
Aug 12, 2020 - Python
OhmNet: Representation learning in multi-layer graphs
Interactive 3D visualization of networks with multiple layers
RackLay: Monocular Multi-Layered Layout Estimation for Warehouses with Sim2Real Transfer
Multilayered architecture, WCF, dependency injection, IoC, Ninject, client-server, WPF, MVVM, modal dialog, Entity Framework, SQL Server Compact, SQLite
Mode solver for 1D waveguides composed of arbitrary number of slabs (layers). Vector solver: TE & TM polarizations. Supports complex-valued refractive index (plasmonic modes)
Конспект книги "Microsoft .NET: Архитектура Корпоративных приложений" под авторством Дино Эспозито и Андреа Сальтарелло
Implements configurable runtime caching layer on top of persistent caches in TYPO3
multi level tree based approach for interactive graph visualization with semantic zoom
Neural Network Based UAV Routing
Classification of obstructive and non-obstructive pulmonary diseases on the basis of spirometry using ML
C# library for community detection in multi-layer networks.
sklearn-API friendly multi-layer stacking Python module
Looking for a MêgaTron Random Python Package? Well, here is what we have created for you to feel free to use. This package is also an Open Source Package, and it is a multi-purpose package.
A convolutional neural network (CNN) is a type of artificial neural network that is designed to process data that has a grid-like structure, such as an image. CNNs are composed of multiple layers, including convolutional layers, pooling layers, and fully connected layers, that are arranged in a hierarchical structure.
Magento. Select more than one item in layered navigation.
Important Ml Codes and Concepts(Sorted)
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