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35,721 results · Page 835 of 993

Real-ESRGAN

AI video

Real-ESRGAN is an open-source algorithm project for general image and video restoration, with the goal of developing practical image/video restoration algorithms. It is extended from ESRGAN and trained using purely synthetic data, and can perform super-resolution upscaling and quality enhancement on low-resolution, blurry, or noisy images and videos. The project provides pretrained models, including different versions for general scenes, anime images, and anime videos, and supports inference through Python scripts, online demos, Colab, or portable executable files (NCNN). It also integrates GFPGAN to support face enhancement and provides training code, making it suitable for developers and researchers who need image/video super-resolution and restoration.

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Realtime Sound Meter

AI audio

Realtime Sound Meter is a free online sound level meter (decibel meter) that uses the device microphone through the browser to measure the decibel value (dB) of environmental noise in real time. It provides real-time decibel readings, frequency spectrum, and historical charts to help users detect quiet, noisy, or harmful sound levels. The tool emphasizes privacy first: all audio processing is done locally in the browser, and recordings are neither uploaded nor stored. After measurement, a PDF report can be generated, including session statistics such as minimum, average, and maximum values. The tool provides safe exposure time guidance with reference to the NIOSH/CDC 3 dB exchange rate. It is suitable for everyday noise screening scenarios such as home, office, audio entertainment, and health management, but it clearly states that its results are reference estimates, cannot replace a calibrated professional Type 1/2 sound level meter, and are not suitable for compliance measurements.

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Rebrandly

AI marketing

La Growth Machine (also appearing in the materials under the Rebrandly name) is a multi-channel outreach automation platform for sales and growth teams. It integrates LinkedIn, email, and phone outreach into the same sequence, builds automated workflows through native conditions and A/B testing, and supports AI copy generation using custom attributes and Magic Messages, as well as generating personalized LinkedIn voice messages per lead. All replies are consolidated into a shared inbox, which can be filtered by identity, campaign, or status, and tagged with labels such as Interested, Call Booked, Negotiating, Not Interested; tags can be synced back to the CRM to form Replied/Won/Lost outcomes. The platform provides team-level views of outreach, replies, and success/failure data, with drill-down by channel and identity, and data can be exported or connected to your own reporting via API or Zapier. It runs entirely in the cloud, uses no browser extension, provides each identity with a dedicated 5G mobile proxy, and offers safe limits based on 8 years of real usage data to reduce the risk of LinkedIn accounts being flagged.

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