sb-ai-lab/RePlay
A Comprehensive Framework for Building End-to-End Recommendation Systems with State-of-the-Art Models
Supports distributed processing via PySpark and Polars for scalable data preprocessing, alongside diverse neural architectures (transformers, collaborative filtering, neural networks) trainable on CPU/GPU/multi-GPU. Integrates hyperparameter optimization through Optuna, model compilation via OpenVINO, and vector databases for production deployment, enabling end-to-end workflows from experimentation to serving.
388 stars.
Stars
388
Forks
37
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 05, 2026
Commits (30d)
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