Showing 4 open source projects for "machine learning python"

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  • TelemetryTV content management and device management Icon
    TelemetryTV content management and device management

    Simple and intuitive digital signage software.

    <section class="row"> <div class="small-12 columns"> <p class="description">TelemetryTV is a powerful digital signage platform built for the modern communicator who needs to engage audiences, generate awareness, or give their community a voice. TelemetryTV allows users to broadcast dynamic content easily by streaming video, images, social feeds, turnkey apps, and data-driven dashboards to all of your displays wherever they are. TelemetryTV powers marketing and internal communications at Starbucks, New York Public Library, Stanford University, and more.</p> </div> </section>
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  • Build experiences that drive engagement and increase transactions Icon
    Build experiences that drive engagement and increase transactions

    Connect your users - doctors, gamers, shoppers, or lovers - wherever they are.

    Sendbird's chat, voice, and video APIs power conversations and communities in hundreds of the most innovative apps and products. Sendbird’s feature-rich platform, and pre-fab UI components make developers more productive. We take care of a ton of operational complexity under the hood, so you can power a rich chat service, and life-like voice, and video experiences, and not worry about features, edge cases, reliability, or scale.
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  • 1
    NGINX Admin’s Handbook

    NGINX Admin’s Handbook

    How to improve NGINX performance, security, and other important things

    nginx-admins-handbook is a practical, in-depth guide for configuring, securing, and operating NGINX across real-world deployments. It distills years of research, notes, and field experience into a single handbook that complements the official docs with concrete rules, explanations, and curated external references. The handbook spans fundamentals and advanced topics alike, from HTTP and SSL/TLS basics to reverse proxy patterns, performance tuning, debugging workflows, and hardening...
    Downloads: 3 This Week
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  • 2
    Awesome Graph Classification

    Awesome Graph Classification

    Graph embedding, classification and representation learning papers

    A collection of graph classification methods, covering embedding, deep learning, graph kernel and factorization papers with reference implementations. Relevant graph classification benchmark datasets are available. Similar collections about community detection, classification/regression tree, fraud detection, Monte Carlo tree search, and gradient boosting papers with implementations.
    Downloads: 0 This Week
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  • 3
    NativeScript Documentation

    NativeScript Documentation

    Documentation, API reference, and code snippets for NativeScript

    ...Building Web, iOS, Android, and Vision Pro apps with a shared codebase (aka, cross-platform apps) Building native platform apps with portable JavaScript skills. Augmenting JavaScript projects with platform API capabilities. AndroidTV and Watch development watchOS development. Learning native platforms through JavaScript understanding. Exploring platform API documentation by trying APIs directly from a web browser without requiring a platform development machine setup.
    Downloads: 1 This Week
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  • 4
    "Roberge's Used Robot (RUR) : a Python Learning Environment" is a Python implementation of a "robot environment" as introduced by R. Pattis in 1981. **It is obsolete.** See https://github.com/aroberge/rur-ple
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    Downloads: 102 This Week
    Last Update:
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  • Podium: AI Lead Generation and Lead Management Platform Icon
    Podium: AI Lead Generation and Lead Management Platform

    Beat your competition with a lead conversion platform, powered by AI and ready to integrate with the tools you already use.

    Podium is a comprehensive AI-driven lead management and communication platform utilized by over 100,000 businesses seeking to enhance customer acquisition and retention. At the heart of Podium’s innovation is its AI employee, which ensures businesses respond to incoming leads instantly around the clock, dramatically improving conversion rates and revenue growth. The platform assists businesses in generating more customer reviews, improving their Google rankings, and unifying their lead channels into a single, manageable dashboard. Through the web and mobile applications, businesses can call and text customers, send payment links for quick transactions, and deploy bulk messaging campaigns to boost repeat sales. Podium’s powerful AI-driven automations seamlessly manage customer interactions across multiple communication platforms, providing accurate and timely responses that help drive sales.
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