QualityScaler

QualityScaler is a Windows app powered by AI to enhance, upscale, and de-noise photographs and videos. It provides an easy-to-use GUI for upscaling images and videos using multiple AI models. The tool supports automatic image tiling and merging to avoid GPU VRAM limitations, resizing images/videos before upscaling, and interpolation between the original and upscaled content. QualityScaler is written in Python and utilizes external packages such as torch, onnxruntime-directml, customtkinter, OpenCV, moviepy, and nuitka. It requires Windows 11 or Windows 10, at least 8GB of RAM, and a Directx12 compatible GPU with 4GB VRAM or more. The tool aims to continue improving with upcoming versions by adding new features, enhancing performance, and supporting additional AI architectures.

A curated list of awesome Model Context Protocol (MCP) servers that enable AI models to securely interact with local and remote resources through standardized server implementations. The list focuses on production-ready and experimental servers extending AI capabilities through file access, database connections, API integrations, and other contextual services.

The KAN-GPT repository is a PyTorch implementation of Generative Pre-trained Transformers (GPTs) using Kolmogorov-Arnold Networks (KANs) for language modeling. It provides a model for generating text based on prompts, with a focus on improving performance compared to traditional MLP-GPT models. The repository includes scripts for training the model, downloading datasets, and evaluating model performance. Development tasks include integrating with other libraries, testing, and documentation.

Awesome Text2SQL is a curated repository containing tutorials and resources for Large Language Models, Text2SQL, Text2DSL, Text2API, Text2Vis, and more. It provides guidelines on converting natural language questions into structured SQL queries, with a focus on NL2SQL. The repository includes information on various models, datasets, evaluation metrics, fine-tuning methods, libraries, and practice projects related to Text2SQL. It serves as a comprehensive resource for individuals interested in working with Text2SQL and related technologies.

Summary You is a tool that utilizes AI to summarize YouTube videos, articles, images, and documents. Users can set the length of the summary and have the option to listen to the summaries. The tool also includes a history section, intelligent paywall detection, OLED-Dark Mode, and a user-friendly Material Design 3 style UI with dynamic color themes. It uses GPT-3.5 OpenAI/Mixtral 8x7B Groq for summarization. The backend is implemented in Python with Chaquopy, and some UI designs and codes are borrowed from Seal Material color utilities.

GPTel is a simple Large Language Model chat client for Emacs, with support for multiple models and backends. It's async and fast, streams responses, and interacts with LLMs from anywhere in Emacs. LLM responses are in Markdown or Org markup. Supports conversations and multiple independent sessions. Chats can be saved as regular Markdown/Org/Text files and resumed later. You can go back and edit your previous prompts or LLM responses when continuing a conversation. These will be fed back to the model. Don't like gptel's workflow? Use it to create your own for any supported model/backend with a simple API.

Chat2DB is an AI-driven data development and analysis platform that enables users to communicate with databases using natural language. It supports a wide range of databases, including MySQL, PostgreSQL, Oracle, SQLServer, SQLite, MariaDB, ClickHouse, DM, Presto, DB2, OceanBase, Hive, KingBase, MongoDB, Redis, and Snowflake. Chat2DB provides a user-friendly interface that allows users to query databases, generate reports, and explore data using natural language commands. It also offers a variety of features to help users improve their productivity, such as auto-completion, syntax highlighting, and error checking.

24/7 Screen & Audio Capture Library to build personalized AI powered by what you've seen, said, or heard. Works with Ollama. Alternative to Rewind.ai. Open. Secure. You own your data. Rust. We are shipping daily, make suggestions, post bugs, give feedback. Building a reliable stream of audio and screenshot data, simplifying life for developers by solving non-trivial problems. Multiple installation options available. Experimental tool with various integrations and features for screen and audio capture, OCR, STT, and more. Open source project focused on enabling tooling & infrastructure for a wide range of applications.

VideoTuna is a codebase for text-to-video applications that integrates multiple AI video generation models for text-to-video, image-to-video, and text-to-image generation. It provides comprehensive pipelines in video generation, including pre-training, continuous training, post-training, and fine-tuning. The models in VideoTuna include U-Net and DiT architectures for visual generation tasks, with upcoming releases of a new 3D video VAE and a controllable facial video generation model.

A collection of papers and resources about Large Language Models (LLM) for Graph Learning (Graph). Integrating LLMs with graph learning techniques to enhance performance in graph learning tasks. Categorizes approaches based on four primary paradigms and nine secondary-level categories. Valuable for research or practice in self-supervised learning for recommendation systems.

Aimeos is a full-featured e-commerce platform that is ultra-fast, cloud-native, and API-first. It offers a wide range of features including JSON REST API, GraphQL API, multi-vendor support, various product types, subscriptions, multiple payment gateways, admin backend, modular structure, SEO optimization, multi-language support, AI-based text translation, mobile optimization, and high-quality source code. It is highly configurable and extensible, making it suitable for e-commerce SaaS solutions, marketplaces, and various cloud environments. Aimeos is designed for scalability, security, and performance, catering to a diverse range of e-commerce needs.

GURU-BOT 2.0 is a simple multi-device WhatsApp bot that allows users to deploy it on various platforms like Heroku, Koyeb, Railway, Okteto, and Replit. The setup involves forking the repository, obtaining session IDs, and deploying the bot to the desired platform. Users can follow step-by-step instructions provided in the README to set up the bot successfully. The bot is not affiliated with WhatsApp Inc., and users are advised to use it at their own risk to avoid potential bans on their WhatsApp accounts. The tool is open-source and not for sale, with specific guidelines on usage and licensing mentioned in the README. Overall, GURU-BOT aims to provide a convenient solution for creating and deploying WhatsApp bots across different platforms.

ProChat is a components library focused on quickly building large language model chat interfaces. It empowers developers to create rich, dynamic, and intuitive chat interfaces with features like automatic chat caching, streamlined conversations, message editing tools, auto-rendered Markdown, and programmatic controls. The tool also includes design evolution plans such as customized dialogue rendering, enhanced request parameters, personalized error handling, expanded documentation, and atomic component design.

KEITH-MD is a versatile bot updated and working for all downloaders fixed and are working. Overall performance improvements. Fork the repository to get the latest updates. Get your session code for pair programming. Deploy on Heroku with a single tap. Host on Discord. Download files and deploy on Scalingo. Join the WhatsApp group for support. Enjoy the diverse features of KEITH-MD to enhance your WhatsApp experience.

Rig is a Rust library designed for building scalable, modular, and user-friendly applications powered by large language models (LLMs). It provides full support for LLM completion and embedding workflows, offers simple yet powerful abstractions for LLM providers like OpenAI and Cohere, as well as vector stores such as MongoDB and in-memory storage. With Rig, users can easily integrate LLMs into their applications with minimal boilerplate code.

Aim is an open-source, self-hosted ML experiment tracking tool designed to handle 10,000s of training runs. Aim provides a performant and beautiful UI for exploring and comparing training runs. Additionally, its SDK enables programmatic access to tracked metadata — perfect for automations and Jupyter Notebook analysis. **Aim's mission is to democratize AI dev tools 🎯**

QualityScaler is a Windows app powered by AI to enhance, upscale, and de-noise photographs and videos. It provides an easy-to-use GUI for upscaling images and videos using multiple AI models. The tool supports automatic image tiling and merging to avoid GPU VRAM limitations, resizing images/videos before upscaling, and interpolation between the original and upscaled content. QualityScaler is written in Python and utilizes external packages such as torch, onnxruntime-directml, customtkinter, OpenCV, moviepy, and nuitka. It requires Windows 11 or Windows 10, at least 8GB of RAM, and a Directx12 compatible GPU with 4GB VRAM or more. The tool aims to continue improving with upcoming versions by adding new features, enhancing performance, and supporting additional AI architectures.

XLICON-V2-MD is a versatile Multi-Device WhatsApp bot developed by Salman Ahamed. It offers a wide range of features, making it an advanced and user-friendly bot for various purposes. The bot supports multi-device operation, AI photo enhancement, downloader commands, hidden NSFW commands, logo generation, anime exploration, economic activities, games, and audio/video editing. Users can deploy the bot on platforms like Heroku, Replit, Codespace, Okteto, Railway, Mongenius, Coolify, and Render. The bot is maintained by Salman Ahamed and Abraham Dwamena, with contributions from various developers and testers. Misusing the bot may result in a ban from WhatsApp, so users are advised to use it at their own risk.

Easy Diffusion 3.0 is a user-friendly tool for installing and using Stable Diffusion on your computer. It offers hassle-free installation, clutter-free UI, task queue, intelligent model detection, live preview, image modifiers, multiple prompts file, saving generated images, UI themes, searchable models dropdown, and supports various image generation tasks like 'Text to Image', 'Image to Image', and 'InPainting'. The tool also provides advanced features such as custom models, merge models, custom VAE models, multi-GPU support, auto-updater, developer console, and more. It is designed for both new users and advanced users looking for powerful AI image generation capabilities.

RealScaler is a Windows app powered by RealESRGAN AI to enhance, upscale, and de-noise photos and videos. It provides an easy-to-use GUI for upscaling images and videos using multiple AI models. The tool supports automatic image tiling and merging to avoid GPU VRAM limitations, resizing images/videos before upscaling, interpolation between original and upscaled content, and compatibility with various image and video formats. RealScaler is written in Python and requires Windows 11/10, at least 8GB RAM, and a Directx12 compatible GPU with 4GB VRAM. Future versions aim to enhance performance, support more GPUs, offer a new GUI with Windows 11 style, include audio for upscaled videos, and provide features like metadata extraction and application from original to upscaled files.

TOPU Md is a simple WhatsApp user bot created by Topu Tech. It offers various features such as multi-device support, AI photo enhancement, downloader commands, hidden NSFW commands, logo commands, anime commands, economy menu, various games, and audio/video editor commands. Users can fork the repo, get a session ID by pairing code, and deploy on Heroku. The bot requires Node version 18.x or higher for optimal performance. Contributions to TOPU-MD are welcome, and the tool is safe for use on WhatsApp and Heroku. The tool is licensed under the MIT License and is designed to enhance the WhatsApp experience with diverse features.

Adobe Photoshop CC Download is a free software tool that offers full optimization through a simple and easy menu. It supports most systems, including Windows 7/8/8.1/10/11 (x32/64), and is completely safe for your Windows system. The tool provides features such as free proxy, compatibility with any PC, and 24/7 support. Users can download the latest version from the provided link and enjoy the benefits of Adobe Photoshop for various editing tasks.

Topaz-Photo-AI is a software tool designed to enhance and improve the quality of photos using artificial intelligence technology. Users can easily download, install, and run the software to apply various enhancements to their images. The tool provides a user-friendly interface and a range of features to help users enhance their photos with just a few simple steps. With Topaz-Photo-AI, users can achieve professional-level results in photo editing without the need for advanced skills or knowledge.

WatermarkRemover-AI is an advanced application that utilizes AI models for precise watermark detection and seamless removal. It leverages Florence-2 for watermark identification and LaMA for inpainting. The tool offers both a command-line interface (CLI) and a PyQt6-based graphical user interface (GUI), making it accessible to users of all levels. It supports dual modes for processing images, advanced watermark detection, seamless inpainting, customizable output settings, real-time progress tracking, dark mode support, and efficient GPU acceleration using CUDA.

**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.