OhmNet: Representation learning in multi-layer graphs
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Updated
Aug 12, 2020 - Python
OhmNet: Representation learning in multi-layer graphs
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)
Implements configurable runtime caching layer on top of persistent caches in TYPO3
Конспект книги "Microsoft .NET: Архитектура Корпоративных приложений" под авторством Дино Эспозито и Андреа Сальтарелло
Neural Network Based UAV Routing
Classification of obstructive and non-obstructive pulmonary diseases on the basis of spirometry using ML
multi level tree based approach for interactive graph visualization with semantic zoom
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.
Important Ml Codes and Concepts(Sorted)
Neural networks that I really need to explore
Multi Layer Perceptron Image Compression: Implementation from Scratch
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