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Showing 2 open source projects for "memory usage"
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Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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Anime4KCPP
A high performance anime upscaler
Anime4KCPP provides an optimized bloc97's Anime4K algorithm version 0.9, and it also provides its own CNN algorithm ACNet, it provides a variety of way to use, including preprocessing and real-time playback, it aims to be a high-performance tool to process both image and video. This project is for learning and the exploration task of the algorithm course in SWJTU. Anime4K is a simple high-quality anime upscale algorithm. Version 0.9 does not use any machine learning approaches and can be... -
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...Download entire **YouTube channels, playlists, videos, Shorts, and livestreams** directly to your PC with a modern native desktop application—no cloud processing, subscriptions, or Python runtime required. Built with **Tauri v2 (Rust)** and **React 19**, ClipDown delivers exceptional performance, low memory usage, and a secure native experience while keeping all downloads and metadata on your local machine. ## Key Features * Download entire **YouTube channels** * Download **YouTube playlists** in bulk * Download individual **YouTube videos** * Download **YouTube Shorts** * Browse and download **livestreams** * Local-first architecture for maximum privacy * Fast native performance powered by Rust * No Python installation or run
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