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    DeepCTR

    DeepCTR

    Package of deep-learning based CTR models

    ...The data in CTR estimation task usually includes high sparse,high cardinality categorical features and some dense numerical features. Since DNN are good at handling dense numerical features,we usually map the sparse categorical features to dense numerical through embedding technique.
    Downloads: 2 This Week
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    DeepLearn

    DeepLearn

    Implementation of research papers on Deep Learning+ NLP+ CV in Python

    Welcome to DeepLearn. This repository contains an implementation of the following research papers on NLP, CV, ML, and deep learning. The required dependencies are mentioned in requirement.txt. I will also use dl-text modules for preparing the datasets. If you haven't use it, please do have a quick look at it. CV, transfer learning, representation learning.
    Downloads: 1 This Week
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