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Source channel @githubtrending · Post #15436 · Jan 25

#python#amd#anime#compression_artifact_reduction#deep_learning#directx_12#gui_application#intel#manga#noise_reduction#nvidia#onnx#onnxruntime#opencv#python#python3#pytorch#super_resolution#video#video_processing#windows QualityScaler is a free Windows AI app that upscales, enhances, and denoises your images and videos with a simple drag-and-drop GUI. It supports formats like JPG, PNG, MP4, MKV; works offline on any DirectX12 GPU (4GB+ VRAM, 8GB RAM); and offers features like multi-GPU use, resize, interpolation, and stop/resume. Download from itch.io, Steam, or GitHub. Benefit: Quickly turn low-quality photos/videos into sharp HD masterpieces privately on your PC, saving time and money vs. online tools. https://github.com/Djdefrag/QualityScaler

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ALL About RSS

@AboutRss · Post #1051 · 06/13/2021, 01:00 PM

本周 RSS #玩家#教程 分享 1️⃣「搭建一个 rss 订阅 bot」 https://ednovas.xyz/2021/06/07/rss_bot/ 2️⃣「How to add a RSS feed to a #rails blog」 https://webdevchallenges.com/how-to-add-a-rss-feed-to-a-rails-blog 3️⃣「How to use #GitHub actions and Contentful webhooks to show your latest blog posts on your GitHub profile README」 https://whitep4nth3r.com/blog/how-to-github-actions-contentful-webhooks-to-show-latest-blog-posts-readme 4️⃣「How To Create RSS Feeds In #Golang」 https://medium.com/canopas/how-to-create-rss-feeds-in-golang-43a99fa302e9

GitHub Trends

@githubtrending · Post #15303 · 12/04/2025, 07:00 PM

#ruby#hotwire#kanban#rails#ruby Fizzy is an open-source Kanban tool by 37signals that helps you visually track tasks and ideas using boards with columns. You can set it up easily, run it locally or with MySQL, and test it with built-in commands. It supports email previews and web push notifications for updates. Fizzy is designed to be simple, modern, and customizable, letting you self-host for full control over your data. It also offers a companion SaaS gem for billing and production setups. This means you get a flexible, transparent way to manage projects and workflows, with the option to run it yourself or use a hosted service. https://github.com/basecamp/fizzy