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NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature engineering and preprocessing to training deep learning models and running inference in production.
- RecSys
筛选文章的标准：前沿或者经典的，工程导向的，google、阿里、fa...
- RecSys
Recommendation Systems course at AGH UST 2023/2024. This repository is packed with Jupyter Notebook files, written in Python, to guide you through the theory and implementation of recommendation algorithms.
1 Φεβ 2021 · In today’s article, we are going to talk about five 5 open-source ML Recommender Systems projects/ Repository On Github To Help You Through Your DataScience Projects to enhance your skills in the field of data science and AI.
2 Ιουλ 2021 · The purpose of a recommender system is to suggest relevant items to users. There exist two major categories of methods: collaborative filtering methods and content-based methods. But building a model from scratch has always been a headache.
4 Οκτ 2018 · In this project, we used neural network embeddings to create an effective book recommendation system built on the idea that books which link to similar pages are similar to each other. The steps for creating neural network embeddings are: Gather data. Neural networks require many training examples.
19 Ιουλ 2024 · Learn how to create a movie recommendation system in Python with this detailed step-by-step guide. Discover data preprocessing, feature extraction, and similarity computation techniques to build your own recommendation engine.
NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature engineering and preprocessing to training deep learning models and running inference in production.
