Showing 3 open source projects for "power basic"

View related business solutions
  • Bright Data - All in One Platform for Proxies and Web Scraping Icon
    Bright Data - All in One Platform for Proxies and Web Scraping

    Say goodbye to blocks, restrictions, and CAPTCHAs

    Bright Data offers the highest quality proxies with automated session management, IP rotation, and advanced web unlocking technology. Enjoy reliable, fast performance with easy integration, a user-friendly dashboard, and enterprise-grade scaling. Powered by ethically-sourced residential IPs for seamless web scraping.
    Get Started
  • The #1 Embedded Analytics Solution for SaaS Teams. Icon
    The #1 Embedded Analytics Solution for SaaS Teams.

    Qrvey saves engineering teams time and money with a turnkey multi-tenant solution connecting your data warehouse to your SaaS application.

    Qrvey’s comprehensive embedded analytics software enables you to design more customizable analytics experiences for your end users.
    Try Developer Playground
  • 1
    oneDNN

    oneDNN

    oneAPI Deep Neural Network Library (oneDNN)

    This software was previously known as Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN) and Deep Neural Network Library (DNNL). oneAPI Deep Neural Network Library (oneDNN) is an open-source cross-platform performance library of basic building blocks for deep learning applications. oneDNN is part of oneAPI. The library is optimized for Intel(R) Architecture Processors, Intel Processor Graphics and Xe Architecture graphics. oneDNN has experimental support for the following...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    Pedalboard

    Pedalboard

    A Python library for audio

    ... is used for data augmentation to improve machine learning models and to help power features like Spotify’s AI DJ and AI Voice Translation. pedalboard also helps in the process of content creation, making it possible to add effects to audio without using a Digital Audio Workstation.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3
    AtomAI

    AtomAI

    Deep and Machine Learning for Microscopy

    AtomAI is a Pytorch-based package for deep and machine-learning analysis of microscopy data that doesn't require any advanced knowledge of Python or machine learning. The intended audience is domain scientists with a basic understanding of how to use NumPy and Matplotlib. It was developed by Maxim Ziatdinov at Oak Ridge National Lab. The purpose of the AtomAI is to provide an environment that bridges the instrument-specific libraries and general physical analysis by enabling the seamless...
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next