Showing 77 open source projects for "python data analysis"

View related business solutions
  • Save up to 90% off rates for USPS, UPS, DHL Express, and more with the best multi-carrier shipping software for e-commerce businesses. Icon
    Save up to 90% off rates for USPS, UPS, DHL Express, and more with the best multi-carrier shipping software for e-commerce businesses.

    For Small / Medium E-Commerce Businesses

    Whether you're established or just getting started, Shippo is the best shipping software for growing e-commerce brands that need to save time and money, fulfill and ship at scale, and delight customers. Create shipping labels for all carriers & save money with discounted rates. See all your online sales channels in one place and automatically access discounted USPS and DHL Express rates, or use your own carrier accounts. Sign up is free and there are no monthly fees or cancellation fees.
    Learn More
  • Process Street | Compliance Operations Platform Icon
    Process Street | Compliance Operations Platform

    Systemize execution. Prove compliance.

    Bring compliance and operations under one roof with an AI agent that automates workflows, policies that enforce rules, and a platform that delivers results.
    Learn More
  • 1
    Intel neon

    Intel neon

    Intel® Nervana™ reference deep learning framework

    neon is Intel's reference deep learning framework committed to best performance on all hardware. Designed for ease of use and extensibility. See the new features in our latest release. We want to highlight that neon v2.0.0+ has been optimized for much better performance on CPUs by enabling Intel Math Kernel Library (MKL). The DNN (Deep Neural Networks) component of MKL that is used by neon is provided free of charge and downloaded automatically as part of the neon installation. The gpu...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2

    text_summurization_abstractive_methods

    Multiple implementations for abstractive text summurization

    This repo is built to collect multiple implementations for abstractive approaches to address text summarization it is built to simply run on google colab , in one notebook so you would only need an internet connection to run these examples without the need to have a powerful machine , so all the code examples would be in a jupyter format , and you don't have to download data to your device as we connect these jupyter notebooks to google drive
    Downloads: 0 This Week
    Last Update:
    See Project
MongoDB Logo MongoDB