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rakmakan / Clustering-with-BERT

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Powerful document clustering models are essential as they can efficiently process large sets of documents. These models can be helpful in many fields, including general research. Searching through large corpora of publications can be a slow and tedious task; such models can significantly reduce this time.

visualization python pca-analysis language-model k-means-clustering bert-embeddings sbert-implementation bert-inference-performance
  • Updated Oct 30, 2022
  • Jupyter Notebook

Balajirvp / Recommender-Systems---Content-Based-Systems-and-Collaborative-Filtering

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Created Recommender systems using TMDB movie dataset by leveraging the concepts of Content Based Systems and Collaborative Filtering.

collaborative-filtering recommendation-system recsys recommender-system content-based-recommendation user-item-utility-matrix user-based-recommendation svdpp item-based-recommendation surprise-library sbert-implementation
  • Updated Nov 28, 2022
  • Jupyter Notebook

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