GaiaNet-node is a tool that allows users to run their own GaiaNet node, enabling them to interact with an AI agent. The tool provides functionalities to install the default node software stack, initialize the node with model files and vector database files, start the node, stop the node, and update configurations. Users can use pre-set configurations or pass a custom URL for initialization. The tool is designed to facilitate communication with the AI agent and access node information via a browser. GaiaNet-node requires sudo privilege for installation but can also be installed without sudo privileges with specific commands.

This repository contains a simple blog application built using Python and Flask framework. It allows users to create, read, update, and delete blog posts. The application uses SQLite database for storing blog data and provides a basic user interface for interacting with the blog. The code is well-organized and easy to understand, making it suitable for beginners looking to learn web development with Python and Flask.

Drag-and-Drop LLMs (DnD) is a prompt-conditioned parameter generator that eliminates per-task training by mapping task prompts directly to LoRA weight updates. It uses a lightweight text encoder to distill prompt batches into condition embeddings, transformed by a cascaded hyper convolutional decoder into LoRA matrices. DnD offers up to 12,000× lower overhead than full fine-tuning, gains up to 30% in performance over strong LoRAs on various tasks, and shows robust cross-domain generalization. It provides a rapid way to specialize large language models without gradient-based adaptation.

Tegridy MIDI Dataset is an ultimate multi-instrumental MIDI dataset designed for Music Information Retrieval (MIR) and Music AI purposes. It provides a comprehensive collection of MIDI datasets and essential software tools for MIDI editing, rendering, transcription, search, classification, comparison, and various other MIDI applications.

Aipan-Netdisk-Search is a free and open-source web project for searching netdisk resources. It utilizes third-party APIs with IP access restrictions, suggesting self-deployment. The project can be easily deployed on Vercel and provides instructions for manual deployment. Users can clone the project, install dependencies, run it in the browser, and access it at localhost:3001. The project also includes documentation for deploying on personal servers using NUXT.JS. Additionally, there are options for donations and communication via WeChat.

WeiXin-Dyh-AI is a backend management system that supports integrating WeChat subscription accounts with AI services. It currently supports integration with Ali AI, Moonshot, and Tencent Hyunyuan. Users can configure different AI models to simulate and interact with AI in multiple modes: text-based knowledge Q&A, text-to-image drawing, image description, text-to-voice conversion, enabling human-AI conversations on WeChat. The system allows hierarchical AI prompt settings at system, subscription account, and WeChat user levels. Users can configure AI model types, providers, and specific instances. The system also supports rules for allocating models and keys at different levels. It addresses limitations of WeChat's messaging system and offers features like text-based commands and voice support for interactions with AI.

Comfyui-zhenzhen is a repository that provides various API nodes for generating images, videos, and text using different AI models. It includes nodes for models like Nano Banana, Veo3, Sora2, and more. The repository offers tools for image editing, video creation, and text generation, with options for customizing parameters and outputs. Users can access different AI models for specific tasks like image generation, video editing, and text creation.

Rime Wanxiang Pro is an enhanced version of Wanxiang, supporting the 9, 14, and 18-key layouts. It features a pinyin library with optimized word and language models, supporting accurate sentence output with tones. The tool also allows for mixed Chinese and English input, offering various usage scenarios. Users can customize their input method by selecting different decoding and auxiliary code rules, enabling flexible combinations of pinyin and auxiliary codes. The tool simplifies the complex configuration of Rime and provides a unified word library for multiple input methods, enhancing input efficiency and user experience.

FastLLM is a high-performance large model inference library implemented in pure C++ with no third-party dependencies. Models of 6-7B size can run smoothly on Android devices. Deployment communication QQ group: 831641348

This repository is dedicated to the learning and exchange of resources for the School of Artificial Intelligence at Anhui University. Notes will be published on this website first: https://www.aoaoaoao.cn and will be synchronized to the repository regularly. You can also contact me at [email protected].

NoneBotPluginNaturelGPT is a plugin for NoneBot that enhances the GPT chat AI with more human-like characteristics. It supports multiple customizable personalities, preset sharing, and various features to improve chat interactions. Users can create personalized chat experiences, enable context-aware conversations, and benefit from features like long-term memory, user-specific impressions, and data persistence. The plugin also allows for personality switching, custom trigger words, content blocking, and more. It offers extensive capabilities for enhancing chat interactions and enabling AI to actively participate in conversations.

The Unity-AI-Chat-Toolkit is a toolset for Unity developers to quickly implement AI chat-related functions. Currently, this library includes code implementations for API calls to large language models such as ChatGPT, RKV, and ChatGLM, as well as web API access to Microsoft Azure and Baidu AI for speech synthesis and speech recognition. With this library, we can quickly implement cross-platform applications on Unity.

LLMAI-writer is a powerful AI tool for assisting in novel writing, utilizing state-of-the-art large language models to help writers brainstorm, plan, and create novels. Whether you are an experienced writer or a beginner, LLMAI-writer can help you efficiently complete the writing process.

The 'meet-libai' project aims to promote and popularize the cultural heritage of the Chinese poet Li Bai by constructing a knowledge graph of Li Bai and training a professional AI intelligent body using large models. The project includes features such as data preprocessing, knowledge graph construction, question-answering system development, and visualization exploration of the graph structure. It also provides code implementations for large models and RAG retrieval enhancement.

EZ-Work AI Document Translation is an AI document translation assistant accessible to everyone. It enables quick and cost-effective utilization of major language model APIs like OpenAI to translate documents in formats such as txt, word, csv, excel, pdf, and ppt. The tool supports AI translation for various document types, including pdf scanning, compatibility with OpenAI format endpoints via intermediary API, batch operations, multi-threading, and Docker deployment.

GaiaNet-node is a tool that allows users to run their own GaiaNet node, enabling them to interact with an AI agent. The tool provides functionalities to install the default node software stack, initialize the node with model files and vector database files, start the node, stop the node, and update configurations. Users can use pre-set configurations or pass a custom URL for initialization. The tool is designed to facilitate communication with the AI agent and access node information via a browser. GaiaNet-node requires sudo privilege for installation but can also be installed without sudo privileges with specific commands.

Airo is a tool designed to simplify the process of deploying containers to self-hosted servers. It allows users to focus on building their products without the complexity of Kubernetes or CI/CD pipelines. With Airo, users can easily build and push Docker images, deploy instantly with a single command, update configurations securely using SSH, and set up HTTPS and reverse proxy automatically using Caddy.

This repository provides interactive fine-tuning of Foundation Models with Amazon SageMaker Training using the @remote decorator. It showcases the use of SageMaker AI capabilities for Small/Large Language Models fine-tuning by employing different distribution techniques like FSDP and DDP. Users can run the repository from Amazon SageMaker Studio or a local IDE. The notebooks cover various supervised and self-supervised fine-tuning scenarios for different models, along with instructions for updating configurations based on the AWS region and Python version compatibility.

Contextgem is a Ruby gem that provides a simple way to manage context-specific configurations in your Ruby applications. It allows you to define different configurations based on the context in which your application is running, such as development, testing, or production. This helps you keep your configuration settings organized and easily accessible, making it easier to maintain and update your application. With Contextgem, you can easily switch between different configurations without having to modify your code, making it a valuable tool for managing complex applications with multiple environments.

Sweep is an AI junior developer that turns bugs and feature requests into code changes. It automatically handles developer experience improvements like adding type hints and improving test coverage.

The Teams AI Library is a software development kit (SDK) that helps developers create bots that can interact with Teams and Microsoft 365 applications. It is built on top of the Bot Framework SDK and simplifies the process of developing bots that interact with Teams' artificial intelligence capabilities. The SDK is available for JavaScript/TypeScript, .NET, and Python.

This guide is dedicated to Large Language Models (LLMs) that you can run on your home computer. It assumes your PC is a lower-end, non-gaming setup.

Supercharge WordPress Content Workflows and Engagement with Artificial Intelligence. Tap into leading cloud-based services like OpenAI, Microsoft Azure AI, Google Gemini and IBM Watson to augment your WordPress-powered websites. Publish content faster while improving SEO performance and increasing audience engagement. ClassifAI integrates Artificial Intelligence and Machine Learning technologies to lighten your workload and eliminate tedious tasks, giving you more time to create original content that matters.

Chatbot UI is an open-source AI chat app that allows users to create and deploy their own AI chatbots. It is easy to use and can be customized to fit any need. Chatbot UI is perfect for businesses, developers, and anyone who wants to create a chatbot.

BricksLLM is a cloud native AI gateway written in Go. Currently, it provides native support for OpenAI, Anthropic, Azure OpenAI and vLLM. BricksLLM aims to provide enterprise level infrastructure that can power any LLM production use cases. Here are some use cases for BricksLLM: * Set LLM usage limits for users on different pricing tiers * Track LLM usage on a per user and per organization basis * Block or redact requests containing PIIs * Improve LLM reliability with failovers, retries and caching * Distribute API keys with rate limits and cost limits for internal development/production use cases * Distribute API keys with rate limits and cost limits for students

uAgents is a Python library developed by Fetch.ai that allows for the creation of autonomous AI agents. These agents can perform various tasks on a schedule or take action on various events. uAgents are easy to create and manage, and they are connected to a fast-growing network of other uAgents. They are also secure, with cryptographically secured messages and wallets.

Griptape is a modular Python framework for building AI-powered applications that securely connect to your enterprise data and APIs. It offers developers the ability to maintain control and flexibility at every step. Griptape's core components include Structures (Agents, Pipelines, and Workflows), Tasks, Tools, Memory (Conversation Memory, Task Memory, and Meta Memory), Drivers (Prompt and Embedding Drivers, Vector Store Drivers, Image Generation Drivers, Image Query Drivers, SQL Drivers, Web Scraper Drivers, and Conversation Memory Drivers), Engines (Query Engines, Extraction Engines, Summary Engines, Image Generation Engines, and Image Query Engines), and additional components (Rulesets, Loaders, Artifacts, Chunkers, and Tokenizers). Griptape enables developers to create AI-powered applications with ease and efficiency.