🌌 A complete search engine and RAG pipeline in your browser, server or edge network with support for full-text, vector, and hybrid search in less than 2kb.
- data-structures
- full-text
- search
- typo-tolerance
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🌌 A complete search engine and RAG pipeline in your browser, server or edge network with support for full-text, vector, and hybrid search in less than 2kb.
Learn to Code While Building Apps - The Complete Flutter Development Bootcamp
Strong typed, autocompleted resources like images, fonts and segues in Swift projects
A complete web conferencing system for virtual classes and more!
The complete load testing platform. Everything you need for production-grade load tests. Serverless & distributed. Load test with Playwright. Load test HTTP APIs, GraphQL, WebSocket, and more. Use any Node.js module.
An interactive command-line HTTP and API testing client built on top of HTTPie featuring autocomplete, syntax highlighting, and more. https://twitter.com/httpie
A flexible and feature-complete Redis/Valkey client for PHP.
A complete web-based remote monitoring and management web site. Once setup you can install agents and perform remote desktop session to devices on the local network or over the Internet.
Open-source ThreeUI Community catalog with live interactive components and complete Community source.
Ultra lightweight, usable, beautiful autocomplete with zero dependencies.
Go DDD example application. Complete project to show how to apply DDD, Clean Architecture, and CQRS by practical refactoring.
Complete Ruby geocoding solution.
Tiny and powerful JavaScript full-text search engine for browser and Node
Awesome autocompletion, static analysis and refactoring library for python
an efficient feature complete C++ bittorrent implementation
🚀 A Complete Fast Android Networking Library that also supports HTTP/2 🚀
💥 Highly experimental plugin that completely replaces the UI for messages, cmdline and the popupmenu.
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.
✨ PTerm is a modern Go module to easily beautify console output. Featuring charts, progressbars, tables, trees, text input, select menus and much more 🚀 It's completely configurable and 100% cross-platform compatible.
Picocli is a modern framework for building powerful, user-friendly, GraalVM-enabled command line apps with ease. It supports colors, autocompletion, subcommands, and more. In 1 source file so apps can include as source & avoid adding a dependency. Written in Java, usable from Groovy, Kotlin, Scala, etc.
A feature complete and high performance multi-group Raft library in Go.
The Restreamer is a complete streaming server solution for self-hosting. It has a visually appealing user interface and no ongoing license costs. Upload your live stream to YouTube, Twitch, Facebook, Vimeo, or other streaming solutions like Wowza. Receive video data from OBS and publish it with the RTMP and SRT server.
Add Github like mentions autocomplete to your application.
Easy to use OpenStreetMap editor for Android and iOS