PyTorch implementation of Pointwise Convolutional Neural Networks in CVPR 2018.
-
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. Built for Haystack pipelines.
LOINC Toy Search Engine using pointwise approach (UPM's Master in Data Science)
Add a description, image, and links to the pointwise topic page so that developers can more easily learn about it.
To associate your repository with the pointwise topic, visit your repo's landing page and select "manage topics."