Nocode/WEP is a forward-looking office visualization platform that includes modules for document building, web application creation, presentation design, and AI capabilities for office scenarios. It supports features such as configuring bullet comments, global article comments, multimedia content, custom drawing boards, flowchart editor, form designer, keyword annotations, article statistics, custom appreciation settings, JSON import/export, content block copying, and unlimited hierarchical directories. The platform is compatible with major browsers and aims to deliver content value, iterate products, share technology, and promote open-source collaboration.

nndeploy is a tool that allows you to quickly build your visual AI workflow without the need for frontend technology. It provides ready-to-use algorithm nodes for non-AI programmers, including large language models, Stable Diffusion, object detection, image segmentation, etc. The workflow can be exported as a JSON configuration file, supporting Python/C++ API for direct loading and running, deployment on cloud servers, desktops, mobile devices, edge devices, and more. The framework includes mainstream high-performance inference engines and deep optimization strategies to help you transform your workflow into enterprise-level production applications.

HaE is a framework project in the field of network security (data security) that combines artificial intelligence (AI) large models to achieve highlighting and information extraction of HTTP messages (including WebSocket). It aims to reduce testing time, focus on valuable and meaningful messages, and improve vulnerability discovery efficiency. The project provides a clear and visual interface design, simple interface interaction, and centralized data panel for querying and extracting information. It also features built-in color upgrade algorithm, one-click export/import of data, and integration of AI large models API for optimized data processing.

Open-dLLM is the most open release of a diffusion-based large language model, providing pretraining, evaluation, inference, and checkpoints. It introduces Open-dCoder, the code-generation variant of Open-dLLM. The repo offers a complete stack for diffusion LLMs, enabling users to go from raw data to training, checkpoints, evaluation, and inference in one place. It includes pretraining pipeline with open datasets, inference scripts for easy sampling and generation, evaluation suite with various metrics, weights and checkpoints on Hugging Face, and transparent configs for full reproducibility.

Chuanhu Chat is a user-friendly web graphical interface that provides various additional features for ChatGPT and other language models. It supports GPT-4, file-based question answering, local deployment of language models, online search, agent assistant, and fine-tuning. The tool offers a range of functionalities including auto-solving questions, online searching with network support, knowledge base for quick reading, local deployment of language models, GPT 3.5 fine-tuning, and custom model integration. It also features system prompts for effective role-playing, basic conversation capabilities with options to regenerate or delete dialogues, conversation history management with auto-saving and search functionalities, and a visually appealing user experience with themes, dark mode, LaTeX rendering, and PWA application support.

Awesome AI Efficiency is a curated list of resources dedicated to enhancing efficiency in AI systems. The repository covers various topics essential for optimizing AI models and processes, aiming to make AI faster, cheaper, smaller, and greener. It includes topics like quantization, pruning, caching, distillation, factorization, compilation, parameter-efficient fine-tuning, speculative decoding, hardware optimization, training techniques, inference optimization, sustainability strategies, and scalability approaches.

Happy-LLM is a systematic learning tutorial for Large Language Models (LLM) that covers NLP research methods, LLM architecture, training process, and practical applications. It aims to help readers understand the principles and training processes of large language models. The tutorial delves into Transformer architecture, attention mechanisms, pre-training language models, building LLMs, training processes, and practical applications like RAG and Agent technologies. It is suitable for students, researchers, and LLM enthusiasts with programming experience, Python knowledge, and familiarity with deep learning and NLP concepts. The tutorial encourages hands-on practice and participation in LLM projects and competitions to deepen understanding and contribute to the open-source LLM community.

The UltraRAG framework is a researcher and developer-friendly RAG system solution that simplifies the process from data construction to model fine-tuning in domain adaptation. It introduces an automated knowledge adaptation technology system, supporting no-code programming, one-click synthesis and fine-tuning, multidimensional evaluation, and research-friendly exploration work integration. The architecture consists of Frontend, Service, and Backend components, offering flexibility in customization and optimization. Performance evaluation in the legal field shows improved results compared to VanillaRAG, with specific metrics provided. The repository is licensed under Apache-2.0 and encourages citation for support.

Torra Community Edition is a modern AI workflow and intelligent agent visualization editor based on Nuxt 4. It offers a lightweight but production-ready architecture with frontend VueFlow + Tailwind v4 + shadcn/ui, backend FeathersJS, and built-in LangChain.js runtime. It supports multiple databases (SQLite/MySQL/MongoDB) and local ↔ cloud hot switching. The tool covers various tasks such as visual workflow editing, modern UI, native integration of LangChain.js, pluggable storage options, full-stack TypeScript implementation, and more. It is designed for enterprises looking for an easy-to-deploy and scalable solution for AI workflows.

This repository contains a project that integrates Angular frontend, Node.js backend, Java services, and AI capabilities. The project aims to demonstrate a full-stack application with modern technologies and AI features. It showcases how to build a scalable and efficient system using Angular for the frontend, Node.js for the backend, Java for services, and AI for advanced functionalities.

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.

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.

Awesome-LLM-RAG-Application is a repository that provides resources and information about applications based on Large Language Models (LLM) with Retrieval-Augmented Generation (RAG) pattern. It includes a survey paper, GitHub repo, and guides on advanced RAG techniques. The repository covers various aspects of RAG, including academic papers, evaluation benchmarks, downstream tasks, tools, and technologies. It also explores different frameworks, preprocessing tools, routing mechanisms, evaluation frameworks, embeddings, security guardrails, prompting tools, SQL enhancements, LLM deployment, observability tools, and more. The repository aims to offer comprehensive knowledge on RAG for readers interested in exploring and implementing LLM-based systems and products.

CIA is a powerful open-source tool designed for data analysis and visualization. It provides a user-friendly interface for processing large datasets and generating insightful reports. With CIA, users can easily explore data, perform statistical analysis, and create interactive visualizations to communicate findings effectively. Whether you are a data scientist, analyst, or researcher, CIA offers a comprehensive set of features to streamline your data analysis workflow and uncover valuable insights.

Bytedesk is an AI-powered customer service and team instant messaging tool that offers features like enterprise instant messaging, online customer service, large model AI assistant, and local area network file transfer. It supports multi-level organizational structure, role management, permission management, chat record management, seating workbench, work order system, seat management, data dashboard, manual knowledge base, skill group management, real-time monitoring, announcements, sensitive words, CRM, report function, and integrated customer service workbench services. The tool is designed for team use with easy configuration throughout the company, and it allows file transfer across platforms using WiFi/hotspots without the need for internet connection.

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.

Nocode/WEP is a forward-looking office visualization platform that includes modules for document building, web application creation, presentation design, and AI capabilities for office scenarios. It supports features such as configuring bullet comments, global article comments, multimedia content, custom drawing boards, flowchart editor, form designer, keyword annotations, article statistics, custom appreciation settings, JSON import/export, content block copying, and unlimited hierarchical directories. The platform is compatible with major browsers and aims to deliver content value, iterate products, share technology, and promote open-source collaboration.

RAGxplorer is a tool designed to build visualisations for Retrieval Augmented Generation (RAG). It provides functionalities to interact with RAG models, visualize queries, and explore information retrieval tasks. The tool aims to simplify the process of working with RAG models and enhance the understanding of retrieval and generation processes.

Plate is a rich-text editor framework designed for simplicity and efficiency. It consists of core plugin system, various plugin packages, primitive hooks and components, and pre-built components. Plate offers templates for different use cases like Notion-like template, Plate playground template, and Plate minimal template. Users can refer to the documentation for more information on Plate. Contributors are welcome to join the project by giving stars, making pull requests, or sharing plugins.

GodoOS is an efficient intranet office operating system that includes various office tools such as word/excel/ppt/pdf/internal chat/whiteboard/mind map, with native file storage support. The platform interface mimics the Windows style, making it easy to operate while maintaining low resource consumption and high performance. It automatically connects to intranet users without registration, enabling instant communication and file sharing. The flexible and highly configurable app store allows for unlimited expansion.

Open Deep Research is an open-source tool designed to generate AI-powered reports from web search results efficiently. It combines Bing Search API for search results retrieval, JinaAI for content extraction, and customizable report generation. Users can customize settings, export reports in multiple formats, and benefit from rate limiting for stability. The tool aims to streamline research and report creation in a user-friendly platform.

OS Chat is a free, open-source AI personal assistant that combines 40+ language models with powerful automation capabilities. It allows users to deploy background agents, connect services like Gmail, Calendar, Notion, GitHub, and Slack, and get things done through natural conversation. With features like smart automation, service connectors, AI models, chat management, interface customization, and premium features, OS Chat offers a comprehensive solution for managing digital life and workflows. It prioritizes privacy by being open source and self-hostable, with encrypted API key storage.

LLMStack is a no-code platform for building generative AI agents, workflows, and chatbots. It allows users to connect their own data, internal tools, and GPT-powered models without any coding experience. LLMStack can be deployed to the cloud or on-premise and can be accessed via HTTP API or triggered from Slack or Discord.

Daily Chinese ancient poetry and AI-generated images powered by Bing DALL-E-3. GitHub Action triggers the process automatically. Poetry is provided by Today's Poem API. The website is built with Astro.

EXIF Photo Blog is a full-stack photo blog application built with Next.js, Vercel, and Postgres. It features built-in authentication, photo upload with EXIF extraction, photo organization by tag, infinite scroll, light/dark mode, automatic OG image generation, a CMD-K menu with photo search, experimental support for AI-generated descriptions, and support for Fujifilm simulations. The application is easy to deploy to Vercel with just a few clicks and can be customized with a variety of environment variables.

SillyTavern is a user interface you can install on your computer (and Android phones) that allows you to interact with text generation AIs and chat/roleplay with characters you or the community create. SillyTavern is a fork of TavernAI 1.2.8 which is under more active development and has added many major features. At this point, they can be thought of as completely independent programs.

This project enables you to fetch liked tweets from Twitter (using Selenium), save it to JSON and Excel files, and perform initial data analysis and image captions. This is part of the initial steps for a larger personal project involving Large Language Models (LLMs).

Aila Desktop Application is a powerful tool that integrates multiple leading AI models into a single desktop application. It allows users to interact with various AI models simultaneously, providing diverse responses and insights to their inquiries. With its user-friendly interface and customizable features, Aila empowers users to engage with AI seamlessly and efficiently. Whether you're a researcher, student, or professional, Aila can enhance your AI interactions and streamline your workflow.

This project is an intelligent dialogue customer service tool based on a large model, which supports access to platforms such as WeChat, Qianniu, Bilibili, Douyin Enterprise, Douyin, Doudian, Weibo chat, Xiaohongshu professional account operation, Xiaohongshu, Zhihu, etc. You can choose GPT3.5/GPT4.0/ Lazy Treasure Box (more platforms will be supported in the future), which can process text, voice and pictures, and access external resources such as operating systems and the Internet through plug-ins, and support enterprise AI applications customized based on their own knowledge base.

LocalVocal is a live-streaming AI assistant plugin for OBS that allows you to transcribe audio speech into text and perform various language processing functions on the text using AI / LLMs (Large Language Models). It's privacy-first, with all data staying on your machine, and requires no GPU, cloud costs, network, or downtime.