Search Results for "swap"

...The communications protocol for web3, WalletConnect brings the ecosystem together by enabling wallets and apps to securely connect and interact. With WalletConnect, you can connect your wallet with hundreds of apps, opening the doors to a new world of web3 experiences. Uniswap. Swap, earn, and build on the leading decentralized crypto trading protocol. Foundation. Create, collect and sell NFTs.Install nodejs and npm. Install python3 and ensure python cli is linked (required to build some npm modules). Install workspace dependencies i.e. run npm install from root folder. Install redis. We recommend running it as a brew service. ...

...Feathers is a “batteries included but easily swappable framework” with a large ecosystem of plugins. Include exactly what you need. No more, no less. Feathers has adapters for 12+ databases out of the box. You can have multiple databases in a single app and swap them out painlessly due to a consistent query interface. Feathers can be used the same way on the server with Node.js and in the browser with frameworks like React, Angular, VueJS or on mobile with React.

...Adds useful links to the repository navigation dropdown and moves the "Security" and "Insights" tabs to it as well. Adds a keyboard shortcut to star/unstar the current repo: g s. Adds a link to the default branch on directory listings and files. Adds a link to swap branches in the branch compare view. Adds a shortcut to your forks next to the Fork button on the current repo. Displays the age of the repository in the sidebar. In your forked repos, shows number of your open PRs to the original repo. Adds a link to access the past runs of a GitHub Action workflow when seeing the workflow configuration file. ...

...It is built with Nitro Modules and uses the low-level C and C++ TensorFlow Lite core API for direct memory access. The library supports zero-copy ArrayBuffers, which helps reduce overhead when passing model inputs and outputs through React Native. It can load and swap TensorFlow Lite models at runtime, making it useful for apps that run multiple machine learning tasks. The project supports GPU-accelerated delegates such as CoreML, Metal, and OpenGL. It is especially useful for mobile computer vision, on-device inference, and VisionCamera-based workflows that need fast local model execution.