An open-source UI component library for building high-quality, accessible design systems and web apps for Vue. Previously Radix Vue
- accessible
- design-system
- headless
- primitives
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An open-source UI component library for building high-quality, accessible design systems and web apps for Vue. Previously Radix Vue
Tutorials for using RabbitMQ in various ways
PDF craft can convert PDF files into various other formats. This project will focus on processing PDF files of scanned books.
Customizable and privacy-conscious open-source keyboard
NLog - Flexible and Structured Logging for various .NET Platforms
A web tool to explore the ASTs generated by various parsers.
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
A curated list of various bug bounty tools
A simple wake on lan web app written with SvelteKit, Go and PocketBase.
iOS & tvOS multi-emulator frontend, supporting various Atari, Bandai, NEC, Nintendo, Sega, SNK and Sony console systems… Get Started: https://wiki.provenance-emu.com |
A curated list of project tutorials for project-based learning.
A great looking and easy-to-use photo-management-system you can run on your server, to manage and share photos.
Pytorch🍊🍉 is delicious, just eat it! 😋😋
📢 Various README templates & tips on writing high-quality documentation that people want to read.
🎮 ⌨ An easy to use tool to change the behaviour of your input devices.
A comprehensive Domain-Driven Design example with problem space strategic analysis and various tactical patterns.
A concise but complete full-attention transformer with a set of promising experimental features from various papers
A curated list of recent diffusion models for video generation, editing, and various other applications.
General plug-and-play inference library for Recursive Language Models (RLMs), supporting various sandboxes.
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.
The official build framework for the Armbian Linux distribution. This repository contains the complete toolchain and scripts required to compile custom OS images from source, including kernel configuration, U-Boot handling, and board-specific tweaks for various ARM and ARM64 single-board computers.
Blazingly 🔥 fast 🚀 memory vulnerabilities, written in 100% safe Rust. 🦀
Native Mac APIs for Go. Previously known as MacDriver
This is the new home of the original DDD Sample app (previously hosted at sf.net)..