Recommender Learning with Tensorflow2.x
A pytorch implementation of He et al. "Neural Collaborative Filtering" at WWW'17
A .NET Standard library containing models and functionality for managing, organizing, and sending a collection of HTTP requests using the Nightingale Collection Format. This library is the heart of Nightingale REST Client on Windows 10.
Federated Neural Collaborative Filtering (FedNCF). Neural Collaborative Filtering utilizes the flexibility, complexity, and non-linearity of Neural Network to build a recommender system. Aim to federate this recommendation system.
Neural Collaborative Filtering with MXNet
DGII-Utils es un paquete de herramientas diseñado para simplificar la interacción con las aplicaciones web de la Dirección General de Impuestos Internos (DGII) en la República Dominicana. Este paquete incluye funciones para validar formatos fiscales como RNCs, cédulas, y comprobantes fiscales.
plugin de adaptación de FacturaScripts a República Dominicana
Recommender System ⬩ Created a Neural Collaborative Filtering Recommender System to predict user engagement/interaction using movies from 1995 to 2020 in the MovieLens dataset.
A Julia implementation of three different recommender systems based on the concept of Neural Collaborative Filtering.
NCF Recommender System (Pytorch)
TypeScript library for utilities relevant to the Dominican Republic, such as Cedula, RNC, and NCF validation and formatting.
Librería TypeScript para validación e integración con la DGII de República Dominicana. RNC, Cédula, NCF, e-NCF.
A collection of Movie Recommender System models developed using PyTorch
A parser for retrieving data from automotive Node Configuration Files (NCF)
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