📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
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Updated
Jul 18, 2024
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Repository hosting code for "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).
Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.
Compilation of high-profile real-world examples of failed machine learning projects
GRID: Generative Recommendation with Semantic IDs
A collection of resources for Recommender Systems (RecSys)
Recommendation System using ML and DL
RecTools - library to build Recommendation Systems easier and faster than ever before
A Comprehensive Framework for Building End-to-End Recommendation Systems with State-of-the-Art Models
🛍 A real-world e-commerce dataset for session-based recommender systems research.
Merlin Models is a collection of deep learning recommender system model reference implementations
[IJAIT 2021] MABWiser: Contextual Multi-Armed Bandits Library
A general purpose recommender metrics library for fair evaluation.
Course on Recommender Systems conducted at the Faculty of Computer Science, National Research University - Higher School of Economics. Academic year 2025/2026.
Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflow