Backdrops - Wallpapers

Shoparn is an AI e-commerce tool that allows furniture shoppers to visualize products in their rooms. It does not require 3D models; users upload a photo to see realistic results. Shoparn integrates with Shopify and WooCommerce. It helps furniture stores reduce returns and increase conversions.

SparrowRecSys is a deep learning movie recommendation system. It is a Maven-based project that includes TensorFlow, Spark, and Jetty Server modules. The system is designed for learning and improving recommendation systems.

Recommenders is a GitHub repository providing best practices for building recommendation systems. It offers examples, algorithms, and evaluation tools for collaborative filtering and content-based filtering. The repository is open-source and designed for developers, data scientists, and machine learning engineers. It provides resources for building and evaluating recommendation models.

HLLM enhances sequential recommendations using hierarchical large language models for item and user modeling. It also includes HLLM-Creator for personalized creative generation. The tool is designed to improve the accuracy and personalization of recommendation systems. HLLM leverages large language models to understand user preferences and item characteristics.

DeepMatch is a deep matching model library for recommendations and advertising. It allows users to train models and export representation vectors for ANN search. The library is designed to be easy to use for building recommendation systems and implementing advertising solutions.

TF-recomm is a TensorFlow-based framework for building recommendation systems. It focuses on factorization models to discover latent features between entities. It supports various factorization algorithms such as SVD and factorization machines. It is designed for implementing and developing new recommendation algorithms.