Search Results for "network architecture"

...At its heart, the system uses a transformer-based model adapted from xAI’s Grok architecture to predict probabilities for various user actions (such as likes, replies, reposts, clicks, and negative signals), then combines those into a weighted final score that drives ranking.

ESRGAN stands for Enhanced Super-Resolution Generative Adversarial Network and is a foundational project in the field of deep learning-based image super-resolution. It builds on earlier GAN-based approaches by improving network architecture (e.g., using Residual-in-Residual Dense Blocks), adversarial loss functions, and perceptual loss components to generate higher-fidelity high-resolution images from low-resolution inputs with more realistic textures and details. ...

XSWAG (Extended SourceWare Archive Group) is a revival project for the famous SWAG code archives for the Pascal programming language. This project is open to every Pascal/Delphi programmer who wishes to contribute to the global Pascal knowledge base. Current version (testing 0.9) features : - a reader program : allows users to browse through the code archives, organizes them by type and operating system and updates the archives from multiple XSWAG servers. - a...

Neural Network class library: Its a C/C++ implementation that provides following three neural architecture - Feed-forward network, Radial Basis function network, multi-layer perceptron and Self-Organizing Maps.