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2,857–2,880 of 35,816 · Most stars

OceanBase is the unified distributed database for the AI era — open-source, multi-model, one engine for your most demanding workloads.

🚀 An awesome list of curated Nano Banana pro prompts and examples. Your go-to resource for mastering prompt engineering and exploring the creative potential of the Nano banana pro(Nano banana 2) AI image model.

TranslatedTurn any webpage/HTML/Vue/React and so on into desktop and mobile app under 5M with easy in few minutes. https://ppofficial.netlify.app

  • ipa
  • pake
  • pakeplus
  • build

Browser-based frontend to gdb (gnu debugger). Add breakpoints, view the stack, visualize data structures, and more in C, C++, Go, Rust, and Fortran. Run gdbgui from the terminal and a new tab will open in your browser.

  • gdb
  • c
  • python
  • gui

TranslatedDocker Chinese localization, Docker Chinese version, Docker Chinese localization pack, Docker Desktop Chinese localization, Docker Windows, Docker MAC

  • dockerdesktop
  • sinicization
  • chinese-translation

Real-time microphone noise suppression on Linux.

  • noise-reduction
  • noise-suppression
  • voice
  • voice-activity-detection

CodeQL: the libraries and queries that power security researchers around the world, as well as code scanning in GitHub Advanced Security

  • semmle-ql
  • codeql
  • github-advanced-security
  • github-security-lab

The aim for this project is to create the worlds best and hottest interface to interact with aria2. Very simple to use, just download and open index.html in any web browser.

Sketch Material 3 Expressive screens in the browser and turn them into vibe-coding prompts.

  • design-tool
  • material-3-expressive
  • material-design
  • material3

Spotify, native and fast. One lightweight Rust app for your whole library, local playback, and Spotify Connect on Linux, macOS, and Windows.

Tool for real-time visualization, monitoring and collaborative analysis of AI/ML experiments and live data. Supports Python, PyTorch/Torch, NumPy, TensorFlow/Keras https://visdom.dev