Xianyu AutoAgent is an AI customer service robot system specifically designed for the Xianyu platform, providing 24/7 automated customer service, supporting multi-expert collaborative decision-making, intelligent bargaining, and context-aware conversations. The system includes intelligent conversation engine with features like context awareness and expert routing, business function matrix with modules like core engine, bargaining system, technical support, and operation monitoring. It requires Python 3.8+ and NodeJS 18+ for installation and operation. Users can customize prompts for different experts and contribute to the project through issues or pull requests.

AILZ80ASM is a Z80 assembler that runs in a .NET 8 environment written in C#. It can be used to assemble Z80 assembly code and generate output files in various formats. The tool supports various command-line options for customization and provides features like macros, conditional assembly, and error checking. AILZ80ASM offers good performance metrics with fast assembly times and efficient output file sizes. It also includes support for handling different file encodings and provides a range of built-in functions for working with labels, expressions, and data types.

A project that utilizes large models to help with Code Review on Gitlab, aimed at improving development efficiency. The project is customized for Gitlab and is developing a Multi-Agent plugin for collaborative review. It integrates various large models for code security issues and stays updated with the latest Code Review trends. The project architecture is designed to be powerful, flexible, and efficient, with easy integration of different models and high customization for developers.

HuaTuoAI is an artificial intelligence image classification system specifically designed for traditional Chinese medicine. It utilizes deep learning techniques, such as Convolutional Neural Networks (CNN), to accurately classify Chinese herbs and ingredients based on input images. The project aims to unlock the secrets of plants, depict the unknown realm of Chinese medicine using technology and intelligence, and perpetuate ancient cultural heritage.

DeepAI is a proxy server that enhances the interaction experience of large language models (LLMs) by integrating the 'thinking chain' process. It acts as an intermediary layer, receiving standard OpenAI API compatible requests, using independent 'thinking services' to generate reasoning processes, and then forwarding the enhanced requests to the LLM backend of your choice. This ensures that responses are not only generated by the LLM but also based on pre-inference analysis, resulting in more insightful and coherent answers. DeepAI supports seamless integration with applications designed for the OpenAI API, providing endpoints for '/v1/chat/completions' and '/v1/models', making it easy to integrate into existing applications. It offers features such as reasoning chain enhancement, flexible backend support, API key routing, weighted random selection, proxy support, comprehensive logging, and graceful shutdown.

HivisionIDPhoto is a practical algorithm for intelligent ID photo creation. It utilizes a comprehensive model workflow to recognize, cut out, and generate ID photos for various user photo scenarios. The tool offers lightweight cutting, standard ID photo generation based on different size specifications, six-inch layout photo generation, beauty enhancement (waiting), and intelligent outfit swapping (waiting). It aims to solve emergency ID photo creation issues.

AI+CloudOps is a cloud-native operations management platform designed for enterprises. It aims to integrate artificial intelligence technology with cloud-native practices to significantly improve the efficiency and level of operations work. The platform offers features such as AIOps for monitoring data analysis and alerts, multi-dimensional permission management, visual CMDB for resource management, efficient ticketing system, deep integration with Prometheus for real-time monitoring, and unified Kubernetes management for cluster optimization.

Awesome-ChatTTS is an official recommended guide for ChatTTS beginners, compiling common questions and related resources. It provides a comprehensive overview of the project, including official introduction, quick experience options, popular branches, parameter explanations, voice seed details, installation guides, FAQs, and error troubleshooting. The repository also includes video tutorials, discussion community links, and project trends analysis. Users can explore various branches for different functionalities and enhancements related to ChatTTS.

The Go Interview Practice repository is a comprehensive platform designed to help users practice and master Go programming through interactive coding challenges. It offers an interactive web interface with a code editor, testing experience, and competitive leaderboard. Users can practice with challenges categorized by difficulty levels, contribute solutions, and track their progress. The repository also features AI-powered interview simulation, real-time code review, dynamic interview questions, and progressive hints. Users can showcase their achievements with auto-updating profile badges and contribute to the project by submitting solutions or adding new challenges.

Chenyme-AAVT is a user-friendly tool that provides automatic video and audio recognition and translation. It leverages the capabilities of Whisper, a powerful speech recognition model, to accurately identify speech in videos and audios. The recognized speech is then translated using ChatGPT or KIMI, ensuring high-quality translations. With Chenyme-AAVT, you can quickly generate字幕 files and merge them with the original video, making video translation a breeze. The tool supports various languages, allowing you to translate videos and audios into your desired language. Additionally, Chenyme-AAVT offers features such as VAD (Voice Activity Detection) to enhance recognition accuracy, GPU acceleration for faster processing, and support for multiple字幕 formats. Whether you're a content creator, translator, or anyone looking to make video translation more efficient, Chenyme-AAVT is an invaluable tool.

LotteryMaster is a tool designed to fetch lottery data, save it to Excel files, and provide analysis reports including number prediction, number recommendation, and number trends. It supports multiple platforms for access such as Web and mobile App. The tool integrates AI models like Qwen API and DeepSeek for generating analysis reports and trend analysis charts. Users can configure API parameters for controlling randomness, diversity, presence penalty, and maximum tokens. The tool also includes a frontend project based on uniapp + Vue3 + TypeScript for multi-platform applications. It provides a backend service running on Fastify with Node.js, Cheerio.js for web scraping, Pino for logging, xlsx for Excel file handling, and Jest for testing. The project is still in development and some features may not be fully implemented. The analysis reports are for reference only and do not constitute investment advice. Users are advised to use the tool responsibly and avoid addiction to gambling.

Kirara AI is a chatbot that supports mainstream large language models and chat platforms. It provides features such as image sending, keyword-triggered replies, multi-account support, personality settings, and support for various chat platforms like QQ, Telegram, Discord, and WeChat. The tool also supports HTTP server for Web API, popular large models like OpenAI and DeepSeek, plugin mechanism, conditional triggers, admin commands, drawing models, voice replies, multi-turn conversations, cross-platform message sending, custom workflows, web management interface, and built-in Frpc intranet penetration.

Prompt Optimizer is a powerful AI prompt optimization tool that helps you write better AI prompts, improving AI output quality. It supports both web application and Chrome extension usage. The tool features intelligent optimization for prompt words, real-time testing to compare before and after optimization, integration with multiple mainstream AI models, client-side processing for security, encrypted local storage for data privacy, responsive design for user experience, and more.

Bailing is an open-source voice assistant designed for natural conversations with users. It combines Automatic Speech Recognition (ASR), Voice Activity Detection (VAD), Large Language Model (LLM), and Text-to-Speech (TTS) technologies to provide a high-quality voice interaction experience similar to GPT-4o. Bailing aims to achieve GPT-4o-like conversation effects without the need for GPU, making it suitable for various edge devices and low-resource environments. The project features efficient open-source models, modular design allowing for module replacement and upgrades, support for memory function, tool integration for information retrieval and task execution via voice commands, and efficient task management with progress tracking and reminders.