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A free, open-source Windows desktop organizer with native-feeling WinUI 3 widgets.

  • desktop-cleanup
  • desktop-organizer
  • file-management
  • file-organizer

TranslatedAn introductory project that collects resources for C/C++ beginners to learn from, organizing and gathering small open-source projects, tools, frameworks, games, videos, books, interview questions/algorithm questions, and technical articles shared by developers.

Free, open-source macOS cleaner. CleanMyMac alternative with zero telemetry. Native SwiftUI, scheduled auto-cleaning, Xcode/Homebrew/system cache cleanup. MIT licensed.

The world's first open-source multimodal creative assistant This is a substitute for Canva and Manus that prioritizes privacy and is usable locally.

🧠 Curated collection of system prompts for top AI tools. Perfect for AI agent builders and prompt engineers. Incuding: ChatGPT, Claude, Perplexity, Manus, Claude-Code, Loveable, v0, Grok, same new, windsurf, notion, and MetaAI.

TranslatedUpdated version of the 2008 edition of the "Shanghai Jiao Tong University Survival Manual"; the GitBook is published at https://survivesjtu.gitbook.io/survivesjtumanual/

Argon is a clean and tidy OpenWrt LuCI theme that allows users to customize their login interface with images or videos. It also supports automatic and manual switching between light and dark modes.

  • theme
  • openwrt
  • luci
  • lede

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.