📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
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Updated
May 2, 2024
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Recommendation System using ML and DL
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
A collection of resources for Recommender Systems (RecSys)
A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.
Repository hosting code used to reproduce results in "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152, ICML'24).
Merlin Models is a collection of deep learning recommender system model reference implementations
Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.
Compilation of high-profile real-world examples of failed machine learning projects
🛍 A real-world e-commerce dataset for session-based recommender systems research.
A Tensorflow based implicit recommender system
RiVal recommender system evaluation toolkit
[IJAIT 2021] MABWiser: Contextual Multi-Armed Bandits Library
The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-…
RecTools - library to build Recommendation Systems easier and faster than ever before
A general purpose recommender metrics library for fair evaluation.
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