Y2A-Auto is an automation tool that transfers YouTube videos to AcFun. It automates the entire process from downloading, translating subtitles, content moderation, intelligent tagging, to partition recommendation and upload. It also includes a web management interface and YouTube monitoring feature. The tool supports features such as downloading videos and covers using yt-dlp, AI translation and embedding of subtitles, AI generation of titles/descriptions/tags, content moderation using Aliyun Green, uploading to AcFun, task management, manual review, and forced upload. It also offers settings for automatic mode, concurrency, proxies, subtitles, login protection, brute force lock, YouTube monitoring, channel/trend capturing, scheduled tasks, history records, optional GPU/hardware acceleration, and Docker deployment or local execution.

goclaw is a powerful AI Agent framework written in Go language. It provides a complete tool system for FileSystem, Shell, Web, and Browser with Docker sandbox support and permission control. The framework includes a skill system compatible with OpenClaw and AgentSkills specifications, supporting automatic discovery and environment gating. It also offers persistent session storage, multi-channel support for Telegram, WhatsApp, Feishu, QQ, and WeWork, flexible configuration with YAML/JSON support, multiple LLM providers like OpenAI, Anthropic, and OpenRouter, WebSocket Gateway, Cron scheduling, and Browser automation based on Chrome DevTools Protocol.

LimCode is a powerful VS Code AI programming assistant that supports multiple AI models, intelligent tool invocation, and modular architecture. It features support for various AI channels, a smart tool system for code manipulation, MCP protocol support for external tool extension, intelligent context management, session management, and more. Users can install LimCode from the plugin store or via VSIX, or build it from the source code. The tool offers a rich set of features for AI programming and code manipulation within the VS Code environment.

OpenAI-Forward is an efficient forwarding service implemented for large language models. Its core features include user request rate control, token rate limiting, intelligent prediction caching, log management, and API key management, aiming to provide efficient and convenient model forwarding services. Whether proxying local language models or cloud-based language models like LocalAI or OpenAI, OpenAI-Forward makes it easy. Thanks to support from libraries like uvicorn, aiohttp, and asyncio, OpenAI-Forward achieves excellent asynchronous performance.

Banana-slides is a native AI-powered PPT generation application based on the nano banana pro model. It supports generating complete PPT presentations from ideas, outlines, and page descriptions. The app automatically extracts attachment charts, uploads any materials, and allows verbal modifications, aiming to truly 'Vibe PPT'. It lowers the threshold for creating PPTs, enabling everyone to quickly create visually appealing and professional presentations.

Resume-design is an open-source and free resume design and template download website, built with Vue3 + TypeScript + Vite + Element-plus + pinia. It provides two design tools for creating beautiful resumes and a complete backend management system. The project has released two frontend versions and will integrate with a backend system in the future. Users can learn frontend by downloading the released versions or learn design tools by pulling the latest frontend code.

Nano is a Transformer-based autoregressive language model for personal enjoyment, research, modification, and alchemy. It aims to implement a specific and lightweight Transformer language model based on PyTorch, without relying on Hugging Face. Nano provides pre-training and supervised fine-tuning processes for models with 56M and 168M parameters, along with LoRA plugins. It supports inference on various computing devices and explores the potential of Transformer models in various non-NLP tasks. The repository also includes instructions for experiencing inference effects, installing dependencies, downloading and preprocessing data, pre-training, supervised fine-tuning, model conversion, and various other experiments.

uDesktopMascot is an open-source project for a desktop mascot application with a theme of 'freedom of creation'. It allows users to load and display VRM or GLB/FBX model files on the desktop, customize GUI colors and background images, and access various features through a menu screen. The application supports Windows 10/11 and macOS platforms.

TradeCat is a comprehensive data analysis and trading platform designed for cryptocurrency, stock, and macroeconomic data. It offers a wide range of features including multi-market data collection, technical indicator modules, AI analysis, signal detection engine, Telegram bot integration, and more. The platform utilizes technologies like Python, TimescaleDB, TA-Lib, Pandas, NumPy, and various APIs to provide users with valuable insights and tools for trading decisions. With a modular architecture and detailed documentation, TradeCat aims to empower users in making informed trading decisions across different markets.

TrainPPTAgent is an AI-based intelligent presentation generation tool. Users can input a topic and the system will automatically generate a well-structured and content-rich PPT outline and page-by-page content. The project adopts a front-end and back-end separation architecture: the front-end is responsible for interaction, outline editing, and template selection, while the back-end leverages large language models (LLM) and reinforcement learning (GRPO) to complete content generation and optimization, making the generated PPT more tailored to user goals.

Hub is an open-source, high-performance LLM gateway written in Rust. It serves as a smart proxy for LLM applications, centralizing control and tracing of all LLM calls and traces. Built for efficiency, it provides a single API to connect to any LLM provider. The tool is designed to be fast, efficient, and completely open-source under the Apache 2.0 license.

LangChain-SearXNG is an open-source AI search engine built on LangChain and SearXNG. It supports faster and more accurate search and question-answering functionalities. Users can deploy SearXNG and set up Python environment to run LangChain-SearXNG. The tool integrates AI models like OpenAI and ZhipuAI for search queries. It offers two search modes: Searxng and ZhipuWebSearch, allowing users to control the search workflow based on input parameters. LangChain-SearXNG v2 version enhances response speed and content quality compared to the previous version, providing a detailed configuration guide and showcasing the effectiveness of different search modes through comparisons.

MarkMap-OpenAi-ChatGpt is a Vue.js-based mind map generation tool that allows users to generate mind maps by entering titles or content. The application integrates the markmap-lib and markmap-view libraries, supports visualizing mind maps, and provides functions for zooming and adapting the map to the screen. Users can also export the generated mind map in PNG, SVG, JPEG, and other formats. This project is suitable for quickly organizing ideas, study notes, project planning, etc. By simply entering content, users can get an intuitive mind map that can be continuously expanded, downloaded, and shared.

Torch-RecHub is a lightweight, efficient, and user-friendly PyTorch recommendation system framework. It provides easy-to-use solutions for industrial-level recommendation systems, with features such as generative recommendation models, modular design for adding new models and datasets, PyTorch-based implementation for GPU acceleration, a rich library of 30+ classic and cutting-edge recommendation algorithms, standardized data loading, training, and evaluation processes, easy configuration through files or command-line parameters, reproducibility of experimental results, ONNX model export for production deployment, cross-engine data processing with PySpark support, and experiment visualization and tracking with integrated tools like WandB, SwanLab, and TensorBoardX.

MahoShojo-Generator is a web-based AI structured generation tool that allows players to create personalized and evolving magical girls (or quirky characters) and related roles. It offers exciting cyber battles, storytelling activities, and even a ranking feature. The project also includes AI multi-channel polling, user system, public data card sharing, and sensitive word detection. It supports various functionalities such as character generation, arena system, growth and social interaction, cloud and sharing, and other features like scenario generation, tavern ecosystem linkage, and content safety measures.

AIO Sandbox is an all-in-one agent sandbox environment that combines Browser, Shell, File, MCP operations, and VSCode Server in a single Docker container. It provides a unified, secure execution environment for AI agents and developers, with features like unified file system, multiple interfaces, secure execution, zero configuration, and agent-ready MCP-compatible APIs. The tool allows users to run shell commands, perform file operations, automate browser tasks, and integrate with various development tools and services.

Y2A-Auto is an automation tool that transfers YouTube videos to AcFun. It automates the entire process from downloading, translating subtitles, content moderation, intelligent tagging, to partition recommendation and upload. It also includes a web management interface and YouTube monitoring feature. The tool supports features such as downloading videos and covers using yt-dlp, AI translation and embedding of subtitles, AI generation of titles/descriptions/tags, content moderation using Aliyun Green, uploading to AcFun, task management, manual review, and forced upload. It also offers settings for automatic mode, concurrency, proxies, subtitles, login protection, brute force lock, YouTube monitoring, channel/trend capturing, scheduled tasks, history records, optional GPU/hardware acceleration, and Docker deployment or local execution.

WebScout is a versatile tool that allows users to search for anything using Google, DuckDuckGo, and phind.com. It contains AI models, can transcribe YouTube videos, generate temporary email and phone numbers, has TTS support, webai (terminal GPT and open interpreter), and offline LLMs. It also supports features like weather forecasting, YT video downloading, temp mail and number generation, text-to-speech, advanced web searches, and more.

KrillinAI is a video subtitle translation and dubbing tool based on AI large models, featuring speech recognition, intelligent sentence segmentation, professional translation, and one-click deployment of the entire process. It provides a one-stop workflow from video downloading to the final product, empowering cross-language cultural communication with AI. The tool supports multiple languages for input and translation, integrates features like automatic dependency installation, video downloading from platforms like YouTube and Bilibili, high-speed subtitle recognition, intelligent subtitle segmentation and alignment, custom vocabulary replacement, professional-level translation engine, and diverse external service selection for speech and large model services.

DownEdit is a fast and powerful program for downloading and editing videos from platforms like TikTok, Douyin, and Kuaishou. It allows users to effortlessly grab videos, make bulk edits, and utilize advanced AI features for generating videos, images, and sounds in bulk. The tool offers features like video, photo, and sound editing, downloading videos without watermarks, bulk AI generation, and AI editing for content enhancement.

AIO Video Downloader is an open-source Android application built on the robust yt-dlp backend with the help of youtubedl-android. It aims to be the most powerful download manager available, offering a clean and efficient interface while unlocking advanced downloading capabilities with minimal setup. With support for 1000+ sites and virtually any downloadable content across the web, AIO delivers a seamless yet powerful experience that balances speed, flexibility, and simplicity.

Shots Studio is a screenshot manager that uses on-device AI to intelligently organize and declutter your gallery. It offers AI-driven search, smart tagging, and custom collections for efficient screenshot management. Users can choose between cloud-powered AI or offline Gemma On-Device AI for privacy and speed. The tool allows users to search by content, automatically generate tags, group related screenshots, and process images without an internet connection. Shots Studio is open source, community-driven, and offers customizable AI options for personalized usage.

MindPocket is a fully open-source, free, multi-platform, one-click deployable personal bookmark system with AI Agent integration. It organizes bookmarks with AI-powered RAG content summarization and automatic tag generation, making it easy to find and manage saved content. The project is built using VIBE CODING principles and offers features like zero cost deployment, one-click deploy setup, multi-platform support, AI enhancement for smart tagging and summarization, and full open-source accessibility for user data ownership. The tool is designed to provide a seamless bookmarking experience across web, mobile, and browser extension platforms.

GPT-Subtrans is an open-source subtitle translator that utilizes large language models (LLMs) as translation services. It supports translation between any language pairs that the language model supports. Note that GPT-Subtrans requires an active internet connection, as subtitles are sent to the provider's servers for translation, and their privacy policy applies.

**Prompt flow** is a suite of development tools designed to streamline the end-to-end development cycle of LLM-based AI applications, from ideation, prototyping, testing, evaluation to production deployment and monitoring. It makes prompt engineering much easier and enables you to build LLM apps with production quality.

DeepEval is a simple-to-use, open-source LLM evaluation framework specialized for unit testing LLM outputs. It incorporates various metrics such as G-Eval, hallucination, answer relevancy, RAGAS, etc., and runs locally on your machine for evaluation. It provides a wide range of ready-to-use evaluation metrics, allows for creating custom metrics, integrates with any CI/CD environment, and enables benchmarking LLMs on popular benchmarks. DeepEval is designed for evaluating RAG and fine-tuning applications, helping users optimize hyperparameters, prevent prompt drifting, and transition from OpenAI to hosting their own Llama2 with confidence.

MegaDetector is an AI model that identifies animals, people, and vehicles in camera trap images (which also makes it useful for eliminating blank images). This model is trained on several million images from a variety of ecosystems. MegaDetector is just one of many tools that aims to make conservation biologists more efficient with AI. If you want to learn about other ways to use AI to accelerate camera trap workflows, check out our of the field, affectionately titled "Everything I know about machine learning and camera traps".

LeapfrogAI is a self-hosted AI platform designed to be deployed in air-gapped resource-constrained environments. It brings sophisticated AI solutions to these environments by hosting all the necessary components of an AI stack, including vector databases, model backends, API, and UI. LeapfrogAI's API closely matches that of OpenAI, allowing tools built for OpenAI/ChatGPT to function seamlessly with a LeapfrogAI backend. It provides several backends for various use cases, including llama-cpp-python, whisper, text-embeddings, and vllm. LeapfrogAI leverages Chainguard's apko to harden base python images, ensuring the latest supported Python versions are used by the other components of the stack. The LeapfrogAI SDK provides a standard set of protobuffs and python utilities for implementing backends and gRPC. LeapfrogAI offers UI options for common use-cases like chat, summarization, and transcription. It can be deployed and run locally via UDS and Kubernetes, built out using Zarf packages. LeapfrogAI is supported by a community of users and contributors, including Defense Unicorns, Beast Code, Chainguard, Exovera, Hypergiant, Pulze, SOSi, United States Navy, United States Air Force, and United States Space Force.

This Docker image for LLaVA (Large Language and Vision Assistant) provides a convenient way to run LLaVA locally or on RunPod. LLaVA is a powerful AI tool that combines natural language processing and computer vision capabilities. With this Docker image, you can easily access LLaVA's functionalities for various tasks, including image captioning, visual question answering, text summarization, and more. The image comes pre-installed with LLaVA v1.2.0, Torch 2.1.2, xformers 0.0.23.post1, and other necessary dependencies. You can customize the model used by setting the MODEL environment variable. The image also includes a Jupyter Lab environment for interactive development and exploration. Overall, this Docker image offers a comprehensive and user-friendly platform for leveraging LLaVA's capabilities.

The 'carrot' repository on GitHub provides a list of free and user-friendly ChatGPT mirror sites for easy access. The repository includes sponsored sites offering various GPT models and services. Users can find and share sites, report errors, and access stable and recommended sites for ChatGPT usage. The repository also includes a detailed list of ChatGPT sites, their features, and accessibility options, making it a valuable resource for ChatGPT users seeking free and unlimited GPT services.

TrustLLM is a comprehensive study of trustworthiness in LLMs, including principles for different dimensions of trustworthiness, established benchmark, evaluation, and analysis of trustworthiness for mainstream LLMs, and discussion of open challenges and future directions. Specifically, we first propose a set of principles for trustworthy LLMs that span eight different dimensions. Based on these principles, we further establish a benchmark across six dimensions including truthfulness, safety, fairness, robustness, privacy, and machine ethics. We then present a study evaluating 16 mainstream LLMs in TrustLLM, consisting of over 30 datasets. The document explains how to use the trustllm python package to help you assess the performance of your LLM in trustworthiness more quickly. For more details about TrustLLM, please refer to project website.

AI-YinMei is an AI virtual anchor Vtuber development tool (N card version). It supports fastgpt knowledge base chat dialogue, a complete set of solutions for LLM large language models: [fastgpt] + [one-api] + [Xinference], supports docking bilibili live broadcast barrage reply and entering live broadcast welcome speech, supports Microsoft edge-tts speech synthesis, supports Bert-VITS2 speech synthesis, supports GPT-SoVITS speech synthesis, supports expression control Vtuber Studio, supports painting stable-diffusion-webui output OBS live broadcast room, supports painting picture pornography public-NSFW-y-distinguish, supports search and image search service duckduckgo (requires magic Internet access), supports image search service Baidu image search (no magic Internet access), supports AI reply chat box [html plug-in], supports AI singing Auto-Convert-Music, supports playlist [html plug-in], supports dancing function, supports expression video playback, supports head touching action, supports gift smashing action, supports singing automatic start dancing function, chat and singing automatic cycle swing action, supports multi scene switching, background music switching, day and night automatic switching scene, supports open singing and painting, let AI automatically judge the content.