[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"

GRID: Generative Recommendation with Semantic IDs

[Pytorch] The repo contains the code for "FORGE: Forming Semantic Identifiers for Generative Retrieval in Industrial Datasets"

We introduce the direct document relevance optimization (DDRO) for training a pairwise ranker model. DDRO encourages the model to focus on document-level relevance during generation

Unofficial implementation of paper "Recommender Systems with Generative Retrieval" (NeurIPS'23)

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[Pytorch] Tokenizer library for sequential recommendations and generative retrieval using pre-trained language models

# 🔍 Semantic Article RecommenderThis project offers a simple way to find articles that are similar in meaning. It uses advanced techniques like Hugging Face embeddings and FAISS for efficient searching. 🛠️

🛡️ Build a lightweight Intrusion Detection System for Linux with Suricata, offering real-time monitoring, customizable rules, and Python analysis for enhanced security.