gru4rec

Several sequential recommended models implemented by tenosrflow1.x

用pytorch 方法复现了二十多个经典的推荐算法论文，其中包含排序论文和推荐召回论文，并在demo里面选了一个召回模型和排序模型的运行示例。

#计算机科学#⚡️ Implementation of TRON: Transformer Recommender using Optimized Negative-sampling, accepted at ACM RecSys 2023.

Jupyter тетрадка с решением Kaggle соревнования Alfa Campus

Keras implementation of the GRU4Rec recommendation algorithm.

PyTorch implementation of GRU4Rec, SQN and SMORL with evaluation framework covering Hit-Ratio, NDCG, Novelty, Diversity and Repetitiveness metrics for top-k recommendations.

Full stack recommendation system with Machine learning models, FastAPI, ReactJS, Celery, Redis, Postgresql