Showing 3 open source projects for "lda"

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    PackageX Fulfillment for Retailers

    PackageX Fulfillment allows retailers to pick, pack and ship orders effortlessly across all fulfillment locations, from stores to micro warehouses.

    Logistics once played the final few innings in ecommerce. Customers selected a delivery method and waited for a package to arrive. But now the world is different. Customers want to know when and how they can receive something before they even buy it. It’s a new demand for convenience that our logistics platform was built for.
  • Sustainability Data Management for Businesses Icon
    Sustainability Data Management for Businesses

    End-to-end sustainability reporting software-as-a-service (SaaS) that is fully scalable to your needs.

    Collect, measure, and share investor-grade data on your corporate environmental, social and governance (ESG) performance and efforts towards set KPIs.
  • 1
    ktrain

    ktrain

    ktrain is a Python library that makes deep learning AI more accessible

    ktrain is a Python library that makes deep learning and AI more accessible and easier to apply. ktrain is a lightweight wrapper for the deep learning library TensorFlow Keras (and other libraries) to help build, train, and deploy neural networks and other machine learning models. Inspired by ML framework extensions like fastai and ludwig, ktrain is designed to make deep learning and AI more accessible and easier to apply for both newcomers and experienced practitioners. With only a few lines...
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  • 2

    jLDADMM

    A Java package for the LDA and DMM topic models

    The Java package jLDADMM is released to provide alternative choices for topic modeling on normal or short texts. It provides implementations of the Latent Dirichlet Allocation topic model and the one-topic-per-document Dirichlet Multinomial Mixture model (i.e. mixture of unigrams), using collapsed Gibbs sampling. In addition, jLDADMM supplies a document clustering evaluation to compare topic models. See the usage of jLDADMM in its website at http://jldadmm.sourceforge.net/
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  • 3
    pySPACE

    pySPACE

    Signal Processing and Classification Environment in Python using YAML

    pySPACE is a modular software for processing of large data streams that has been specifically designed to enable distributed execution and empirical evaluation of signal processing chains. Various signal processing algorithms (so called nodes) are available within the software, from finite impulse response filters over data-dependent spatial filters (e.g. CSP, xDAWN) to established classifiers (e.g. SVM, LDA). pySPACE incorporates the concept of node and node chains of the MDP framework. Due...
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