Github Top Repositories

📌 Spotted on GitHub Trending: huggingface/speech-to-speech — let's break it down. 🔗 https://github.com/huggingface/speech-to-speech 📝 Build local voice agents with open-source models ────────────────────────────── The huggingface/speech-to-speech repository offers a fully modular voice-agent pipeline, including Voice Activity Detection (VAD), Speech to Text (STT), Language Model (LLM), and Text to Speech (TTS) capabilities. This pipeline is exposed through an OpenAI Realtime-compatible WebSocket API, allowing for low-latency and flexible integration. Every component in the pipeline is swappable, enabling users to choose from a variety of backends and models, such as Parakeet TDT for STT, OpenAI-compatible LLM, and Qwen3-TTS for speech output. To get started, you can install the package using pip install speech-to-speech and then run the server with speech-to-speech. The repository also includes a Quickstart section with example commands to demonstrate its usage. For instance, you can use the python scripts/listen_and_play_realtime.py --host 127.0.0.1 --port 8765 command to talk to the server from a second terminal. The pipeline is designed to be highly customizable, with support for various backends and models. You can select specific implementations using CLI flags, such as --stt, --llm_backend, and --tts. The repository also includes a list of supported components, including VAD, STT, LLM, and TTS, along with their corresponding backends and platforms. The target audience for this repository includes developers and researchers interested in building voice agents and exploring the capabilities of speech-to-speech models. With its modular design and flexible API, the huggingface/speech-to-speech repository provides a powerful tool for creating custom voice agents and integrating them into various applications. In summary, the huggingface/speech-to-speech repository is a versatile and highly customizable pipeline for building voice agents, offering a wide range of backends and models to choose from. Whether you're a developer or researcher, this repository provides a valuable resource for exploring the possibilities of speech-to-speech technology. Takeaway: Build your own voice assistant with huggingface/speech-to-speech and unlock a world of possibilities in speech-to-speech technology. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🚀 Meet github/gh-stack: a gem from today's GitHub trending list. 🔗 https://github.com/github/gh-stack 📝 GitHub Stacked PRs ────────────────────────────── Github Stacked PRs is a GitHub CLI extension that helps manage stacked branches and pull requests, making it easier to break down large changes into smaller, reviewable pieces. The gh stack command automates tasks like creating branches, rebasing, and setting correct PR base branches. To get started, you can install the extension using gh extension install github/gh-stack. The extension requires the GitHub CLI version 2.0 or higher. You can then initialize a new stack with gh stack init, add new branches with gh stack add, and push all branches with gh stack push. Some key features include gh stack rebase for rebasing branches, gh stack modify for interactively restructuring the stack, and gh stack sync for synchronizing the entire stack. The extension also supports AI agent integration with a skill that can be installed using gh skill install github/gh-stack. Overall, Github Stacked PRs is a powerful tool for developers who want to streamline their workflow and make it easier to manage complex changes. With its intuitive commands and features, it's a must-have for any developer working on large projects. Manage your code like a pro with Github Stacked PRs - it's a game-changer for your workflow! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

💡 github/copilot-sdk just hit the trending charts — here's why it matters. 🔗 https://github.com/github/copilot-sdk 📝 Multi-platform SDK for integrating GitHub Copilot Agent into apps and services ────────────────────────────── The GitHub Copilot SDK is an open-source solution that allows developers to embed the power of GitHub Copilot's agentic workflows into their applications. With SDKs available for Python, TypeScript, Go, .NET, Java, and Rust, this tool provides a production-tested agent runtime that can be invoked programmatically. The SDK exposes the same engine behind the Copilot CLI, handling planning, tool invocation, file edits, and more. Key features of the GitHub Copilot SDK include: * JSON-RPC communication with the Copilot CLI server * Support for custom agents, skills, and tools * BYOK (Bring Your Own Key) functionality for using external LLM providers * Multiple authentication methods, including GitHub signed-in user, OAuth GitHub App, and environment variables To get started, developers can install their preferred SDK using the provided commands, then follow the Getting Started Guide for a complete walkthrough. The SDK is suitable for a wide range of developers, from beginners to experienced professionals, looking to harness the power of GitHub Copilot in their applications. In summary, the GitHub Copilot SDK is a powerful tool that enables developers to integrate the capabilities of GitHub Copilot into their applications, with a wide range of features, languages, and authentication methods supported - supercharge your development with the GitHub Copilot SDK! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

💡 github/copilot-sdk just hit the trending charts — here's why it matters. 🔗 https://github.com/github/copilot-sdk 📝 Multi-platform SDK for integrating GitHub Copilot Agent into apps and services ────────────────────────────── The GitHub Copilot SDK is an open-source solution that allows developers to embed the power of GitHub Copilot's agentic workflows into their applications. With SDKs available for Python, TypeScript, Go, .NET, Java, and Rust, this tool provides a production-tested agent runtime that can be invoked programmatically. The SDK exposes the same engine behind the Copilot CLI, handling planning, tool invocation, file edits, and more. Key features of the GitHub Copilot SDK include: * JSON-RPC communication with the Copilot CLI server * Support for custom agents, skills, and tools * BYOK (Bring Your Own Key) functionality for using external LLM providers * Multiple authentication methods, including GitHub signed-in user, OAuth GitHub App, and environment variables To get started, developers can install their preferred SDK using the provided commands, then follow the Getting Started Guide for a complete walkthrough. The SDK is suitable for a wide range of developers, from beginners to experienced professionals, looking to harness the power of GitHub Copilot in their applications. In summary, the GitHub Copilot SDK is a powerful tool that enables developers to integrate the capabilities of GitHub Copilot into their applications, with a wide range of features, languages, and authentication methods supported - supercharge your development with the GitHub Copilot SDK! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔥 microsoft/generative-ai-for-beginners is trending — and it deserves your attention. 🔗 https://github.com/microsoft/generative-ai-for-beginners 📝 21 Lessons, Get Started Building with Generative AI ────────────────────────────── The Microsoft Generative AI for Beginners GitHub repository offers a comprehensive 21-lesson course to get started with building Generative AI applications. This course is designed for anyone interested in learning about Generative AI, with no prior experience required. The lessons are divided into "Learn" and "Build" sections, covering topics such as introduction to Generative AI, Large Language Models (LLMs), and prompt engineering. The course provides Python and TypeScript code samples, and supports various platforms, including Azure OpenAI Service, Microsoft Foundry Models, and OpenAI API. To get started, you'll need a GitHub account and basic knowledge of Python or TypeScript. With a focus on hands-on learning, this course includes video introductions, written lessons, and links to extra resources. The repository also offers a multilingual support with over 50 language translations. Whether you're a beginner or looking to enhance your skills, this course provides a solid foundation in Generative AI. The repository is constantly updated with new lessons and resources, so be sure to star the repo to stay up-to-date. Dive into the world of Generative AI and start building innovative applications today - the future is generated! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

📌 Spotted on GitHub Trending: zhaoxuya520/reverse-skill — let's break it down. 🔗 https://github.com/zhaoxuya520/reverse-skill 📝 Reverse Engineering / Authorized Penetration Testing / Security Research Skill Router Pack AI-powered routing + On-demand toolchain bootstrapping + Self-evolving knowledge base Supports Claude Code, Kiro, Cursor, Cline, and other AI coding clients 逆向/渗透/安全技能路由包 - AI 自动路由 + 按需自举工具链 + 自动进化经验库 | 支持 Claude Code / Kiro / Cursor / Cline 等代码 AI 客户端 ────────────────────────────── The reverse-skill GitHub repository is a cybersecurity skills router designed to navigate the complexities of reverse engineering, penetration testing, and security analysis. It provides a comprehensive framework for AI agents and security professionals to tackle various tasks, from APK and binary analysis to CTF challenges and pentesting. Key features include a MASTER-ROUTING system, which directs tasks to the appropriate methodology, and a tool-index.md file that tracks local tool status. The repository also includes a range of scripts, such as master-route.ps1 and case-init.ps1, to streamline workflows. To get started, users need to clone the repository and refresh the tool index using platform-specific commands. The repository layout is organized into several directories, including skills/, docs/, and kali/, each containing relevant tools, documentation, and configuration files. Technical highlights of the project include its use of Python, Node.js, and Powershell for scripting, as well as integration with popular tools like IDA Pro, radare2, and Ghidra. The project is primarily licensed under the MIT License, with some submodule and third-party dependencies licensed under GNU GPLv3 or AGPL-3.0. The reverse-skill repository is designed for AI agents, cybersecurity professionals, and anyone interested in reverse engineering and security analysis. With its comprehensive framework and extensive toolset, it provides a valuable resource for navigating the complex world of cybersecurity. In short, reverse-skill is the ultimate cybersecurity sidekick - route your way to security mastery. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

📌 Spotted on GitHub Trending: usekaneo/kaneo — let's break it down. 🔗 https://github.com/usekaneo/kaneo 📝 🎯 All you need. Nothing you don't. Open source project management that works for you, not against you. ────────────────────────────── Kaneo is a minimalist project management platform that strips away unnecessary features to help teams focus on building great products. With a clean interface, self-hosted option, and fast performance, Kaneo aims to be an invisible tool that amplifies your team's natural workflow. To get started, you can use the drim CLI tool for a one-click deployment or set up Kaneo with Docker Compose. The platform is open source with a permissive MIT license and has a comprehensive documentation to guide you through the process. Kaneo is perfect for teams looking for a simple and efficient project management solution. Whether you're a developer, a project manager, or a team lead, Kaneo's flexible and customizable nature makes it an ideal choice. With Kaneo, you can host it yourself, configure it to your needs, and integrate it with your existing tools. The platform has a growing community of users and contributors, and you can join the conversation on Discord or GitHub. In short, Kaneo is a breath of fresh air in the world of project management tools - give it a try and see the difference for yourself: Kaneo helps you build great products, not just manage tasks. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

📌 Spotted on GitHub Trending: paperswithbacktest/awesome-systematic-trading — let's break it down. 🔗 https://github.com/paperswithbacktest/awesome-systematic-trading 📝 A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading. ────────────────────────────── The Awsome Systematic Trading GitHub repository is a comprehensive collection of resources for quantitative traders. It includes 97 libraries and packages for research and live trading, 40+ strategies described by institutionals and academics, 55 books for beginners and professionals, 23 videos and interviews, as well as blogs and courses. The repository covers a wide range of topics, including backtesting and live trading, trading bots, analytics, broker APIs, data sources, and machine learning. It also provides a list of libraries and packages implementing trading bots, backtesters, indicators, pricers, and more, categorized by programming language and ordered by popularity. Whether you're a beginner or an experienced trader, this repository has something for everyone. So, get started with quantitative trading and explore the world of systematic trading - code your way to trading success! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔍 Deep-diving into microsoft/AI-For-Beginners — fresh off the trending list. 🔗 https://github.com/microsoft/AI-For-Beginners 📝 12 Weeks, 24 Lessons, AI for All! ────────────────────────────── The AI For Beginners curriculum on GitHub is a 12-week, 24-lesson course designed to introduce you to the world of Artificial Intelligence (AI). This beginner-friendly curriculum covers tools like TensorFlow and PyTorch, as well as ethics in AI. It includes practical lessons, quizzes, and labs, and is available in multiple languages. You'll learn about different approaches to AI, including Neural Networks and Deep Learning, and explore Neural Architectures for working with images and text. The curriculum is suitable for anyone interested in AI, and is a great starting point for your AI journey. Join the community and start learning today - with AI For Beginners, you'll be building your own AI models in no time! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

💡 1jehuang/jcode just hit the trending charts — here's why it matters. 🔗 https://github.com/1jehuang/jcode 📝 The most RAM efficient harness ────────────────────────────── The jcode project on GitHub is an open-source harness designed to be highly efficient in terms of RAM usage and performance. Its key features include a unique memory system that allows for automatic recall of relevant information, explicit memory tools for active search and storage, and session search capabilities. The project boasts impressive performance metrics, with significantly lower RAM usage and faster time to first frame and input compared to other tools like pi, Codex CLI, and GitHub Copilot CLI. To get started with jcode, users can install it using a simple command on macOS & Linux or Windows 11 with PowerShell. The project is well-documented, with a website, docs, benchmarks, and a contributing guide available. The target audience for jcode appears to be developers and users looking for a highly efficient and intelligent harness for their workflows. Here's an example installation command:

curl -fsSL https://jcode.sh/install | bash

In summary, jcode is all about revolutionizing efficiency in harness technology - experience the power of jcode for yourself and discover a whole new world of productivity! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

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🚀 Meet deepfakes/faceswap: a gem from today's GitHub trending list. 🔗 https://github.com/deepfakes/faceswap 📝 Deepfakes Software For All ────────────────────────────── FaceSwap is a deep learning tool that swaps faces in pictures and videos. It's designed for ethical uses such as social commentary, movies, and experimentation. The project has multiple entry points: extract faces from photos, train a model, and convert sources with the model. A GUI is also available. The tool requires a modern GPU with CUDA support for best performance. It's written in Python and can run on multiple operating systems. For those interested in contributing, there are various ways to get involved, from discussing generative models to forking the repo and playing with the code. FaceSwap is not for creating or for illicit purposes. The developers support education and experience in AI and will take a zero tolerance approach to any unethical use. The takeaway: FaceSwap is a powerful tool that can be used for good, and with great power comes great responsibility - use it wisely! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe