PyTorch implementation of Pointwise Convolutional Neural Networks in CVPR 2018.
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Updated
Aug 4, 2019 - Python
PyTorch implementation of Pointwise Convolutional Neural Networks in CVPR 2018.
A Movie Recommender System using YouTube's Two-Tower Architecture built with TFRS+TFR and served with FastAPI
Modular LLM ranking library for Information Retrieval and RAG. Implements state-of-the-art Pairwise, Setwise, and Listwise ranking with structured generation and specialized models (RankZephyr, RankLlama). Features efficient sorting algorithms, sliding windows, and zero-shot capabilities.
LOINC Toy Search Engine using pointwise approach (UPM's Master in Data Science)
private framework for mlp based latent factor model experiment, created by @jayarnim
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