Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
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Updated
May 14, 2024 - Python
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
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).
A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.
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PyTorch implementations of Top-N recommendation, collaborative filtering recommenders.
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2018 Spotify ACM RecSys Challenge 2'nd Place Solution
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⚡️ Implementation of TRON: Transformer Recommender using Optimized Negative-sampling, accepted at ACM RecSys 2023.
Tensorflow NCE loss in Keras
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