GitHub Trends

#shell #aesthetic #dark_mode #dynamic #hyde #hyprdots #light_mode #themes #unix_porn #wallpapers HyDE is a clean, modular, and visually appealing development environment designed for Hyprland on Arch Linux and some Arch-based distros. It offers easy installation via a script that auto-detects NVIDIA cards and configures necessary drivers, but it may conflict with existing desktop environments or theming. You can customize it with many official and community themes using a tool called themepatcher. HyDE keeps your configuration organized and separate from core scripts, making updates safer and simpler. It also supports running in a virtual machine for testing. Joining the HyDE Discord community helps you get support and share ideas. This setup benefits you by providing a stylish, maintainable, and customizable desktop environment with a smooth update process and community support. https://github.com/HyDE-Project/HyDE

#rust #librespot #rust #spotify #spotify_connect Librespot is a free, open-source tool that lets you play and control Spotify music on your own devices, acting like a Spotify Connect receiver. It works with Spotify Premium and supports many audio systems, letting you stream music easily and privately. You can install it on different operating systems and customize how it works, making it simple to use Spotify on devices that don’t officially support it. https://github.com/librespot-org/librespot

#python This project teaches you how to build a real-world AI research assistant that automatically finds, reads, and answers questions about academic papers using a technique called Retrieval-Augmented Generation (RAG)[1][2][3]. RAG works by first searching for the most relevant information from a large collection of documents, then using a language model to generate clear, accurate answers based on that information—this means you get answers that are up-to-date and grounded in real sources, not just what the AI remembers from its training[1][2][3]. The course is hands-on: each week, you add a new piece, starting with setting up the technical infrastructure, then building automated data pipelines to fetch and process papers, adding powerful search tools (first with keywords, then with AI-powered semantic search), and finally connecting everything to a local AI model that can chat with you and explain complex topics in simple language. By the end, you’ll have a working system you can use to quickly find and understand research papers, and you’ll gain the skills to build similar AI tools for any field—all while learning the best practices used by professional engineers. The main benefit is that you get practical, production-ready AI skills and a tool that makes research faster and more reliable, with answers you can trust because they come directly from the latest papers. https://github.com/jamwithai/arxiv-paper-curator

#python You can use Tinker and Tinker Cookbook to easily fine-tune large language models (LLMs) for your specific needs without managing complex training infrastructure. Tinker handles distributed training and uses efficient LoRA adapters to reduce costs and speed up customization. The Cookbook offers ready-made examples and tools for tasks like chat, math reasoning, and reinforcement learning, helping you quickly build and improve AI models. This means you can create AI that better fits your domain, runs faster, and follows your rules, all while saving time and computing resources. It’s great for researchers, developers, and teams wanting powerful, flexible AI customization. https://github.com/thinking-machines-lab/tinker-cookbook

#python #agents #artificial_intelligence #cybersecurity #generative_ai #llm #penetration_testing Strix is a free, open-source tool that uses AI agents to automatically find and fix security problems in your apps by acting like real hackers—running your code, hunting for vulnerabilities, and proving they’re real by actually exploiting them, not just guessing[1][2]. It works fast, gives clear reports, and can even suggest fixes or create pull requests to help you secure your code quickly. You can run it on your own computer, in your development pipeline, or use a cloud version for easier setup. The main benefit is that you get thorough, real-world security testing without the slow pace and high cost of manual checks, helping you catch and fix issues before they become serious problems. https://github.com/usestrix/strix

#ruby Gumroad is an easy-to-use platform that lets creators sell digital products, courses, subscriptions, and even physical goods directly to customers. It offers simple setup, secure payments, and helpful tools for marketing and tracking sales. Users can start selling quickly without needing a website or technical skills. The benefit is that anyone can turn their ideas into a business fast, reach more people, and keep more of their earnings with low fees and direct customer contact. https://github.com/antiwork/gumroad

#go The MCP Go SDK is an official software toolkit for the Go programming language that helps you easily build and run MCP servers and clients. It provides ready-made packages for core MCP features, OAuth support, and custom transports, letting you connect AI models with external tools and data securely and efficiently. You can create servers that offer AI tools and clients that communicate with them using simple APIs and standard input/output or other transports. This SDK follows the full MCP standard, making it easier to develop AI applications that interact with real-time data and services, improving automation and user experience. It’s open source and designed for production use, saving you time and effort in building AI integrations. https://github.com/modelcontextprotocol/go-sdk

#typescript Rachoon is a self-hosted invoicing platform that helps you easily create, manage, and track invoices and offers, perfect for freelancers and small businesses. It organizes client information, tracks payments and overdue invoices, supports multiple currencies and taxes, and lets you customize invoice templates. You can quickly export professional PDFs and get a clear dashboard view of your revenue and client stats. Being self-hosted means you have full control over your billing data. This saves you time, reduces errors, and helps you get paid faster while keeping your invoicing professional and organized. https://github.com/ad-on-is/rachoon

#cplusplus #automatic_differentiation #large_language_models #machine_learning #tensor_algebra GGML is a lightweight, efficient tensor library written in C that helps you run large machine learning models on everyday hardware like laptops, phones, and even Raspberry Pi. It supports integer quantization (reducing model size and speeding up processing), automatic differentiation, and works across many platforms without needing extra software. GGML uses zero memory allocation during runtime, which improves performance and is great for edge devices with limited resources. You can build and run models easily, including GPT-2, and it supports CUDA, Android, and other hardware. This means you can use advanced AI models faster and cheaper on your existing devices. https://github.com/ggml-org/ggml

#typescript #electron #material_you #music #music_player #netease_cloud_music #react #reactjs Music You is a free desktop music player that lets you enjoy all the features of NetEase Cloud Music on your computer, with a modern, easy-to-use design that follows Google’s Material You style. You can log in with your phone, browse recommendations, manage your music library, listen to podcasts and radio, see lyrics (including word-by-word highlights), play local files, and access your cloud music. The app is built with React and Electron, works on Windows, macOS, and Linux, and is open source—so you can even download and modify the code yourself. This gives you a smooth, full-featured music experience right on your desktop, with regular updates and a clean, customizable interface. https://github.com/GuMengYu/music-you

#kotlin #android #comics #manga #manga_reader #mangareader #webtoon Kotatsu is a free, open-source manga reader app for Android that lets you read manga from over 1200 online sources and supports offline reading by downloading chapters. It offers features like customizable reading modes (including webtoon style), bookmarks, reading history, favorites with categories, and notifications for new chapters. You can sync your data across devices, protect the app with a password or fingerprint, and track manga progress with popular services like MyAnimeList. It works on Android 6.0+ devices and has a clean, user-friendly interface optimized for phones and tablets. However, Kotatsu is shutting down due to legal and policy challenges. Using it while available gives you a powerful, flexible manga reading experience with many sources and useful tools. https://github.com/KotatsuApp/Kotatsu

#cplusplus #arm #baidu #deep_learning #embedded #fpga #mali #mdl #mobile #mobile_deep_learning #neural_network Paddle Lite is a lightweight, high-performance deep learning inference framework designed to run AI models efficiently on mobile, embedded, and edge devices. It supports multiple platforms like Android, iOS, Linux, Windows, and macOS, and languages including C++, Java, and Python. You can easily convert models from other frameworks to PaddlePaddle format, optimize them for faster and smaller deployment, and run them with ready-made examples. This helps you deploy AI applications quickly on various devices with low memory use and fast speed, making it ideal for real-time, resource-limited environments. It also supports many hardware accelerators for better performance. https://github.com/PaddlePaddle/Paddle-Lite

#jupyter_notebook #chirp #gemini #google_cloud #imagen #lyria #nano_banana #veo #vertex_ai GenMedia Creative Studio is a web app that lets you use Google Cloud’s generative AI tools to create images, videos, music, and speech. It includes features like Imagen for images, Veo for videos, Lyria for music, and Chirp for speech, plus creative workflows for tasks like virtual try-ons and moodboards. You can experiment with these tools to quickly make and test creative media, helping you bring new ideas to life faster and more easily. https://github.com/GoogleCloudPlatform/vertex-ai-creative-studio

#cplusplus #cpp #downloader #flathub #gnome #gtk4 #libadwaita #music #qt #videos #windows #youtube #youtube_dl #yt_dlp Parabolic is a simple tool that lets you download videos and audio from YouTube and many other sites. You can choose different formats like mp4, webm, mp3, and more, and download several files at once. It also grabs subtitles and metadata, making your downloads more complete. This means you can save videos and music easily for offline use, and organize them with extra info. Just remember to use it in a way that follows copyright rules. https://github.com/NickvisionApps/Parabolic

#go #blockchain #cloudvpn #golang #golang_library #holepunch #ipfs #ipfs_blockchain #kubernetes #libp2p #mesh #mesh_networks #nat #networking #p2p #p2pvpn #tunnel #vpn EdgeVPN lets you create secure, decentralized private networks using peer-to-peer (p2p) connections without relying on central servers. It can build a VPN that automatically assigns IPs, includes a small DNS server, and protects your network even if tokens leak. You can also use it as a reverse proxy to share TCP services or send files securely over p2p without a VPN connection. It works well for edge devices and development, especially behind NATs, and can be integrated into your own Go programs. This helps you connect devices easily and securely across different networks without complex setup or infrastructure. https://github.com/mudler/edgevpn

#jupyter_notebook #deep_learning #pytorch You can learn PyTorch effectively in 20 days with a friendly, well-structured guide designed for those who already know some machine learning basics and have used Keras, TensorFlow, or PyTorch before. The book breaks down PyTorch concepts from easy to hard, with clear examples and practical code you can use right away. It includes a daily plan requiring 30 minutes to 2 hours, covering modeling, core concepts, APIs, and even advanced topics like GPU training and recommendation systems. This approach makes mastering PyTorch easier and faster, helping you build strong skills for deep learning projects and real applications. https://github.com/lyhue1991/eat_pytorch_in_20_days

#typescript OpenTUI is a TypeScript library that helps you build terminal user interfaces (TUIs), but it is still in development and not yet ready for production use[2][3]. It offers a core package with all the basic features, plus optional packages for React and SolidJS, making it flexible for different projects[2]. You can quickly start using it with bun and create-tui, and installing the core package is as simple as running bun install @opentui/core[2][3]. The main benefit is that OpenTUI lets you create rich, interactive terminal apps using modern JavaScript tools, and it’s designed to be easy to set up and experiment with during development. https://github.com/sst/opentui

#python #ai #llm #rag #reasoning #retrieval PageIndex is an advanced AI tool that helps you find the most relevant information in long professional documents by thinking and reasoning like a human expert, rather than just matching keywords. It organizes documents into a clear tree structure, similar to a table of contents, and searches through this structure to give precise, trustworthy answers with exact page references. This method avoids the common problems of traditional vector-based search, making it ideal for complex reports, legal texts, or financial filings. You can use it easily via cloud services or run it locally, improving your ability to analyze and understand large documents quickly and accurately. https://github.com/VectifyAI/PageIndex

#shell You can run Firefox inside a Docker container that lets you access its graphical interface through a web browser or VNC client without installing Firefox on your computer. This container stores your settings and data persistently, supports customization via environment variables, and can be secured with encrypted connections and password protection. It also allows audio streaming and file management through the browser. Using this container simplifies deployment, keeps Firefox isolated for security, and makes it easy to update or move between systems while preserving your data and preferences. This setup benefits you by providing a portable, secure, and easy-to-manage Firefox experience. https://github.com/jlesage/docker-firefox

#python #deep_learning #inference #llm #nlp #pytorch #transformer Nano-vLLM is a small, fast, and easy-to-understand tool for running large language models offline. It matches the speed of bigger systems like vLLM but uses only about 1,200 lines of clean Python code, making it simple to read and modify. It includes smart features like prefix caching and tensor parallelism to boost performance. You can install it easily and run models like Qwen3-0.6B on your own GPU. This tool is great if you want fast, efficient AI inference without complex setups, ideal for learning, research, or small deployments on limited hardware. https://github.com/GeeeekExplorer/nano-vllm