AITranslator is a software tool that utilizes a large language model to translate text from images exported by MTool into a user-friendly graphical interface. Users can start TGW to load the model, open the software, and select the text to be translated. The tool aims to simplify the translation process by leveraging advanced language processing capabilities.

The MCP Java SDK is a set of projects that provide Java SDK integration for the Model Context Protocol. It enables Java applications to interact with AI models and tools through a standardized interface, supporting both synchronous and asynchronous communication patterns.

AI Youtube Shorts Generator is a Python tool that utilizes GPT-4 and Whisper to generate engaging YouTube shorts from long-form videos. It downloads videos, transcribes them, extracts highlights, detects speakers, and crops content vertically for shorts. The tool requires Python 3.7 or higher, FFmpeg, and OpenCV. Users can contribute to the project under the MIT License.

A lightweight vanilla JavaScript implementation of the Gemini 2.0 Flash Multimodal Live API client, providing real-time interaction with Gemini's API through text, audio, video, and screen sharing capabilities. Built with vanilla JavaScript, it offers features like real-time text chat, audio input/output with visualization, motion-detected video streaming, and screen sharing. Users can connect to the API, send text messages, toggle microphone for audio input, enable webcam for video streaming, share screen, and monitor real-time feedback in the logs panel. Custom tools can be added for extending functionality.

Tap4 AI Web UI is an open source AI tools directory built by Tap4 AI Tools Directory. The project aims to help everyone build their own AI Tools Directory easily. Users can fork the project, deploy it to Vercel with one click, and update their own AI tools using the data list in the project. The web UI features internationalization, SEO friendliness, dynamic sitemap generation, fast shipping, NEXT 14 with app route, and integration with Supabase serverless database.

PandaETL is an open-source, no-code ETL tool designed to extract and parse data from various document types including PDFs, emails, websites, audio files, and more. With an intuitive interface and powerful backend, PandaETL simplifies the process of data extraction and transformation, making it accessible to users without programming skills.

FlowDeer Tree is an AI tool designed for managing complex workflows and facilitating deep thoughts. It provides features such as displaying thinking chains, assigning tasks to AI members, utilizing task conclusions as context, copying and importing AI members in JSON format, adjusting node sequences, calling external APIs as plugins, and customizing default task splitting, execution, summarization, and output rewriting prompts. The tool aims to streamline workflow processes and enhance productivity by leveraging artificial intelligence capabilities.

The one-click-llms repository provides templates for quickly setting up an API for language models. It includes advanced inferencing scripts for function calling and offers various models for text generation and fine-tuning tasks. Users can choose between Runpod and Vast.AI for different GPU configurations, with recommendations for optimal performance. The repository also supports Trelis Research and offers templates for different model sizes and types, including multi-modal APIs and chat models.

SiLLM is a toolkit that simplifies the process of training and running Large Language Models (LLMs) on Apple Silicon by leveraging the MLX framework. It provides features such as LLM loading, LoRA training, DPO training, a web app for a seamless chat experience, an API server with OpenAI compatible chat endpoints, and command-line interface (CLI) scripts for chat, server, LoRA fine-tuning, DPO fine-tuning, conversion, and quantization.

AppFlowy Cloud is a secure user authentication, file storage, and real-time WebSocket communication tool written in Rust. It is part of the AppFlowy ecosystem, providing an efficient and collaborative user experience. The tool offers deployment guides, development setup with Rust and Docker, debugging tips for components like PostgreSQL, Redis, Minio, and Portainer, and guidelines for contributing to the project.

Sports-Betting-ML-Tools-NBA is a repository containing machine learning and market analysis tools for NBA games. It features a game prediction model trained on 20,000+ games with 500+ data points per game, pre-game analysis with player stats, injuries, and Vegas odds, custom model training with configurable parameters, real-time score updates, and performance tracking. Users can analyze player stats, remove injured players, check Vegas odds and injury reports, review last game performance, and generate game score predictions. The repository also allows users to configure model training parameters, monitor training via Tensorboard, track performance metrics like win/loss percentage, spread accuracy, and profit/loss calculations, and access core statistics per player and team metrics.

TurtleBench is a dynamic evaluation benchmark that assesses the reasoning capabilities of large language models through real-world yes/no puzzles. It emphasizes logical reasoning over knowledge recall by using user-generated data from a Turtle Soup puzzle platform. The benchmark is objective and unbiased, focusing purely on reasoning abilities and providing clear, measurable outcomes for easy comparison. TurtleBench constantly evolves with real user-generated questions, making it impossible to 'game' the system. It tests the model's ability to comprehend context and make logical inferences.

The 'ai-self-coding-book' repository is a guidebook that aims to teach how to create complex applications with commercial value using natural language and AI, rather than simple toy projects. It provides insights on AI programming concepts and practical applications, emphasizing real-world use cases and best practices for development.

ChatterUI is a mobile app that allows users to manage chat files and character cards, and to interact with Large Language Models (LLMs). It supports multiple backends, including local, koboldcpp, text-generation-webui, Generic Text Completions, AI Horde, Mancer, Open Router, and OpenAI. ChatterUI provides a mobile-friendly interface for interacting with LLMs, making it easy to use them for a variety of tasks, such as generating text, translating languages, writing code, and answering questions.

Adobe Photoshop Activation is a tool designed to activate the Adobe Photoshop program using valid credentials or key files. It also provides the functionality to generate valid serial keys for program activation and reset the program license to resolve activation issues. The tool is compatible with Windows 10 and Windows 11 operating systems, requires 4 GB RAM, 100 MB available space, and an internet connection for activation. Users can download the activator from the Releases page and contribute to the program by forking the repository and following the outlined steps.

LLM_Web_search project gives local LLMs the ability to search the web by outputting a specific command. It uses regular expressions to extract search queries from model output and then utilizes duckduckgo-search to search the web. LangChain's Contextual compression and Okapi BM25 or SPLADE are used to extract relevant parts of web pages in search results. The extracted results are appended to the model's output.

The Keras-llm-robot Web UI project is an open-source tool designed for offline deployment and testing of various open-source models from the Hugging Face website. It allows users to combine multiple models through configuration to achieve functionalities like multimodal, RAG, Agent, and more. The project consists of three main interfaces: chat interface for language models, configuration interface for loading models, and tools & agent interface for auxiliary models. Users can interact with the language model through text, voice, and image inputs, and the tool supports features like model loading, quantization, fine-tuning, role-playing, code interpretation, speech recognition, image recognition, network search engine, and function calling.

The `expo-stable-diffusion` repository provides a tool for generating images using Stable Diffusion natively on iOS devices within Expo and React Native apps. Users can install and configure the module to create images based on prompts. The repository includes information on updating iOS deployment targets, enabling increased memory limits, and building iOS apps. Additionally, users can obtain Stable Diffusion models from various sources. The repository also addresses troubleshooting tips related to model load times and image generation durations. The developer seeks sponsorship to further enhance the project, including adding Android support.

AITranslator is a software tool that utilizes a large language model to translate text from images exported by MTool into a user-friendly graphical interface. Users can start TGW to load the model, open the software, and select the text to be translated. The tool aims to simplify the translation process by leveraging advanced language processing capabilities.

Ultralytics YOLO for Flutter is a Flutter plugin that allows you to integrate Ultralytics YOLO computer vision models into your mobile apps. It supports both Android and iOS platforms, providing APIs for object detection and image classification. The plugin leverages Flutter Platform Channels for seamless communication between the client and host, handling all processing natively. Before using the plugin, you need to export the required models in `.tflite` and `.mlmodel` formats. The plugin provides support for tasks like detection and classification, with specific instructions for Android and iOS platforms. It also includes features like camera preview and methods for object detection and image classification on images. Ultralytics YOLO thrives on community collaboration and offers different licensing paths for open-source and commercial use cases.

BrowserAI is a tool that allows users to run large language models (LLMs) directly in the browser, providing a simple, fast, and open-source solution. It prioritizes privacy by processing data locally, is cost-effective with no server costs, works offline after initial download, and offers WebGPU acceleration for high performance. It is developer-friendly with a simple API, supports multiple engines, and comes with pre-configured models for easy use. Ideal for web developers, companies needing privacy-conscious AI solutions, researchers experimenting with browser-based AI, and hobbyists exploring AI without infrastructure overhead.

This plugin extends and creates `a`/`i` textobjects in Neovim. It enhances some builtin textobjects (like `a(`, `a)`, `a'`, and more), creates new ones (like `a*`, `a`, `af`, `a?`, and more), and allows the user to create their own (like based on treesitter, and more). It supports dot-repeat, `v:count`, different search methods, consecutive application, and customization via Lua patterns or functions. It has builtins for brackets, quotes, function call, argument, tag, user prompt, and any punctuation/digit/whitespace character.

LeetCode Solver Bot is an automated tool designed to solve LeetCode problems using AI-powered code generation. It interacts with the LeetCode platform to fetch problems, generate solutions, submit them, and handle debugging if necessary. The tool supports automated login using GitHub authentication, fetching unsolved problems, AI-powered solution generation with GPT-4, automated solution submission and testing, debugging capabilities for failed submissions, and currently focuses on Python programming language.

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.