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1,273–1,296 of 10,697 · Most stars

Swiper/carousel component for React Native featuring previews, multiple layouts, parallax images, performant handling of huge numbers of items, and more. Compatible with Android & iOS.

  • carousel
  • swiper
  • flatlist-based
  • parallax-effect

An easy 1-click way to create beautiful artwork on your PC using AI, with no tech knowledge. Provides a browser UI for generating images from text prompts and images. Just enter your text prompt, and see the generated image.

  • art
  • diffusion
  • generative-art
  • gui

🚀A modern, comprehensive, flexible design system and React UI library, AI-friendly built-in.🎨Provide 3000+ Design Tokens, easy to build your design system. Make Semi Design to Any Design.🧑🏻‍💻 Design to Code in one click

contaiNERD CTL - Docker-compatible CLI for containerd, with support for Compose, Rootless, eStargz, OCIcrypt, IPFS, ...

  • containerd

Welcome to the AWS Code Examples Repository. This repo contains code examples used in the AWS documentation, AWS SDK Developer Guides, and more. For more information, see the Readme.md file below.

🚀 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.

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

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.

Gogh is a collection of color schemes for various terminal emulators, including Gnome Terminal, Pantheon Terminal, Tilix, and XFCE4 Terminal also compatible with iTerm on macOS. (https://gogh-co.github.io/Gogh/)

Simple, fast & type safe code that leverages the JavaScript & OCaml ecosystems

  • ocaml
  • javascript
  • reasonml
  • reason

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

TranslatedA comprehensive summary of computer fundamentals interview questions (computer networks / operating systems / databases / Git...), including detailed follow-up questions and answers; everything is in the form of [question + follow-up + answer], ready to use right away and aimed directly at interviews at major internet companies; can be used for mock interviews, review before interviews, and preparing quickly for interviews in a short time...