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  1. Diffusion-Recommender-System Diffusion-Recommender-System Public

    Reproduction and Extension of the Diffusion Recommender Paper: https://arxiv.org/abs/2304.04971

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    Implements word embeddings from scratch, using co-occurence counts with PMI weighting.

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    Code for the ACL 2020 paper 'tBERT: Topic Models and BERT Joining Forces for Semantic Similarity Detection'.

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  5. OCTIS OCTIS Public

    Forked from MIND-Lab/OCTIS

    OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)

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  6. m-phate m-phate Public

    Forked from scottgigante/m-phate

    Multislice PHATE for tensor embeddings

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