Lists (13)
AI Projects I'm Considering for ShadyAI
Here is a list of AI projects that I am considering to sacrifice my sleep for to get this glued into ShadyAI. 1. Open source. Compatible with AGPL-3.0 license. 2. Cross-platform. 3. Awesome results.C
Dev Environments
Flutter eyecatchers
One of the more interesting Flutter projects in my opinion.Flutter Games
Flutter Playables
A curated list of Flutter games, simple to advanced.Free API's
e.g. weatherMac Apps
Stars
An attempt to package Dart into a usable shared library (.dll / .so)
"Sossoldi" is a wealth management / personal finance / Net Worth tracking app, made with Flutter.
Simple plug-and-play Github Action to block unauthorized outbound traffic (egress) in your Github workflows
A collection of fun Flutter experiments, created by gskinner, in partnership with Google.
Fladder - A cross-platform Jellyfin Frontend built on top of Flutter.
Connects to Frame, initiates a photo capture and returns the image to the host app for display in a scrollable list.
Live Mobile Camera Feed from the Brilliant Frame
Basic image and sprite viewer for Brilliant Labs Frame
Record streamed audio clips from the Brilliant Labs Frame into a list for review and playback
Low level BLE communication for the Brilliant Labs Frame using Flutter Blue Plus
Common message types for sending to and from Brilliant Labs Frame, with corresponding Lua parsers
Shows Google Maps turn-by-turn navigation notifications on the Frame (Android only, due to the requirement to read app notifications)
A TTS model capable of generating ultra-realistic dialogue in one pass.
Pocket Flow: Codebase to Tutorial
Compression framework for Dart providing FFI implementations for Brotli, Lz4, Zstd (Zstandard) with ready-to-use prebuilt binaries for Win/Linux/Mac.
Re-Editor is a powerful lightweight text and code editor widget.
Lets make video diffusion practical!
A fast, modern download manager for HTTP, BitTorrent, Magnet, and ed2k. Cross-platform, built with Golang and Flutter.
An (almost) fully fledged mobile paperless client.
Flutter/Dart <-> Rust binding generator, feature-rich, but seamless and simple.
This repository contains software licenses that restrict software from being used in AI training datasets or AI technologies.
Author Flutter experiences in Typescript. No native bridge, no V8. Just Dart. From runtime to virtual machine.
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
The AI framework that adds the engineering to prompt engineering (Python/TS/Ruby/Java/C#/Rust/Go compatible)