Best AI tools for< Atmospheric Scientist >

TavernAI is an AI-powered adventure atmospheric chat application that utilizes various APIs such as KoboldAI, NovelAI, Pygmalion, and OpenAI chatGPT. It provides users with a unique and immersive storytelling experience by generating interactive narratives and dialogues based on user input. With TavernAI, users can engage in dynamic conversations with AI-generated characters, explore virtual worlds, and create their own interactive stories.

Story Diffusion is an AI-powered application that transforms stories, designs, and photos into visually stunning narratives. Users can create captivating visual stories by describing characters, crafting prompt arrays, selecting style templates, and generating visual narratives. The advanced AI technology behind Story Diffusion ensures that each image is thematically and visually coherent, bringing stories to life in a unique and engaging way. With a user-friendly interface and a wide range of customization options, Story Diffusion empowers users to unleash their creativity and share their visual masterpieces with the world.

Haiku Lens is a unique app that combines cutting-edge AI technologies with the art of haiku poetry to create beautiful and thought-provoking compositions. By analyzing the visual content of your photos, it generates haiku poems that reflect the mood and atmosphere of the image. Haiku Lens helps users transform everyday photos into captivating haikus, fostering mindfulness and appreciation for the present moment.

Pirr is an AI-powered application that offers a brand new way to create personalized romantic and spicy stories. Users can indulge their senses and spark their imagination by leveraging advanced AI technology to craft narratives that cater to their tastes and desires. The platform allows users to customize characters, storylines, and narrative atmosphere, providing a unique and engaging storytelling experience. Pirr is currently available as a mobile app with plans to introduce a web version in the future. The application is free to use, with the option for premium features to enhance the user experience.

Image Describer is an AI-powered image description generator that allows users to upload an image, select a use case, add additional information, and receive a detailed description of the image's content. It can summarize the content of the picture, describe physical objects, emotions, and atmosphere within the picture. The tool also offers Text-To-Speech ability to assist visually impaired individuals in understanding image content.

The AI wedding speech generator is an online tool that allows users to create personalized wedding speeches quickly and effortlessly. Users can select their role and style, input special details, and generate fully structured and emotional speeches within seconds. The tool offers multiple speech styles to match the wedding atmosphere, allows for personalization with shared memories and emotional connections, and provides high-quality customer support. It is a convenient solution for anyone looking to prepare touching and meaningful speeches for weddings.

The Microsoft AI for Earth program hosts geospatial data on Azure that is important to environmental sustainability and Earth science. This repo hosts documentation and demonstration notebooks for all the data that is managed by AI for Earth. It also serves as a "staging ground" for the Planetary Computer Data Catalog.

MFLUX is a line-by-line port of the FLUX implementation in the Huggingface Diffusers library to Apple MLX. It aims to run powerful FLUX models from Black Forest Labs locally on Mac machines. The codebase is minimal and explicit, prioritizing readability over generality and performance. Models are implemented from scratch in MLX, with tokenizers from the Huggingface Transformers library. Dependencies include Numpy and Pillow for image post-processing. Installation can be done using `uv tool` or classic virtual environment setup. Command-line arguments allow for image generation with specified models, prompts, and optional parameters. Quantization options for speed and memory reduction are available. LoRA adapters can be loaded for fine-tuning image generation. Controlnet support provides more control over image generation with reference images. Current limitations include generating images one by one, lack of support for negative prompts, and some LoRA adapters not working.

Awesome Large Weather Models (LWMs) is a curated collection of articles and resources related to large weather models used in AI for Earth and AI for Science. It includes information on various cutting-edge weather forecasting models, benchmark datasets, and research papers. The repository serves as a hub for researchers and enthusiasts to explore the latest advancements in weather modeling and forecasting.

AIS-catcher: A multi-platform AIS Receiver

VideoLLaMA 2 is a project focused on advancing spatial-temporal modeling and audio understanding in video-LLMs. It provides tools for multi-choice video QA, open-ended video QA, and video captioning. The project offers model zoo with different configurations for visual encoder and language decoder. It includes training and evaluation guides, as well as inference capabilities for video and image processing. The project also features a demo setup for running a video-based Large Language Model web demonstration.

VITA is an open-source interactive omni multimodal Large Language Model (LLM) capable of processing video, image, text, and audio inputs simultaneously. It stands out with features like Omni Multimodal Understanding, Non-awakening Interaction, and Audio Interrupt Interaction. VITA can respond to user queries without a wake-up word, track and filter external queries in real-time, and handle various query inputs effectively. The model utilizes state tokens and a duplex scheme to enhance the multimodal interactive experience.

PaperQA is a minimal package for question and answering from PDFs or text files, providing very good answers with in-text citations. It uses OpenAI Embeddings to embed and search documents, and follows a process of embedding docs and queries, searching for top passages, creating summaries, scoring and selecting relevant summaries, putting summaries into prompt, and generating answers. Users can customize prompts and use various models for embeddings and LLMs. The tool can be used asynchronously and supports adding documents from paths, files, or URLs.

Instill Core is an open-source orchestrator comprising a collection of source-available projects designed to streamline every aspect of building versatile AI features with unstructured data. It includes Instill VDP (Versatile Data Pipeline) for unstructured data, AI, and pipeline orchestration, Instill Model for scalable MLOps and LLMOps for open-source or custom AI models, and Instill Artifact for unified unstructured data management. Instill Core can be used for tasks such as building, testing, and sharing pipelines, importing, serving, fine-tuning, and monitoring ML models, and transforming documents, images, audio, and video into a unified AI-ready format.

This repository contains the official implementation of RPG, a powerful training-free paradigm for text-to-image generation and editing. RPG utilizes proprietary or open-source MLLMs as prompt recaptioner and region planner with complementary regional diffusion. It achieves state-of-the-art results and can generate high-resolution images. The codebase supports diffusers and various diffusion backbones, including SDXL and SD v1.4/1.5. Users can reproduce results with GPT-4, Gemini-Pro, or local MLLMs like miniGPT-4. The repository provides tools for quick start, regional diffusion with GPT-4, and regional diffusion with local LLMs.

Ollama AI is a Ruby gem designed to interact with Ollama's API, allowing users to run open source AI LLMs (Large Language Models) locally. The gem provides low-level access to Ollama, enabling users to build abstractions on top of it. It offers methods for generating completions, chat interactions, embeddings, creating and managing models, and more. Users can also work with text and image data, utilize Server-Sent Events for streaming capabilities, and handle errors effectively. Ollama AI is not an official Ollama project and is distributed under the MIT License.

TavernAI is an atmospheric frontend tool for chat and storywriting, compatible with various backends. It offers features like character creation, online character database, group chat, story mode, world info, message swiping, configurable settings, interface themes, backgrounds, message editing, GPT-4.5, and Claude picture recognition. The tool supports backends like Kobold series, Oobabooga's Text Generation Web UI, OpenAI, NovelAI, and Claude. Users can easily install TavernAI on different operating systems and start using it for interactive storytelling and chat experiences.

AIO-Switch-Updater is a Nintendo Switch homebrew app that allows users to download and update custom firmware, firmware files, cheat codes, and more. It supports Atmosphère, ReiNX, and SXOS on both unpatched and patched Switches. The app provides features like updating CFW with custom RCM payload, updating Hekate/payload, custom downloads, downloading firmwares and cheats, and various tools like rebooting to specific payload, changing color schemes, consulting cheat codes, and more. Users can contribute by submitting PRs and suggestions, and the app supports localization. It does not host or distribute any files and gives special thanks to contributors and supporters.

ComfyUI-IF_AI_tools is a set of custom nodes for ComfyUI that allows you to generate prompts using a local Large Language Model (LLM) via Ollama. This tool enables you to enhance your image generation workflow by leveraging the power of language models.

Simple-OpenAI is a Java library that provides a simple way to interact with the OpenAI API. It offers consistent interfaces for various OpenAI services like Audio, Chat Completion, Image Generation, and more. The library uses CleverClient for HTTP communication, Jackson for JSON parsing, and Lombok to reduce boilerplate code. It supports asynchronous requests and provides methods for synchronous calls as well. Users can easily create objects to communicate with the OpenAI API and perform tasks like text-to-speech, transcription, image generation, and chat completions.

Recognize is a smart media tagging tool for Nextcloud that automatically categorizes photos and music by recognizing faces, animals, landscapes, food, vehicles, buildings, landmarks, monuments, music genres, and human actions in videos. It uses pre-trained models for object detection, landmark recognition, face comparison, music genre classification, and video classification. The tool ensures privacy by processing images locally without sending data to cloud providers. However, it cannot process end-to-end encrypted files. Recognize is rated positively for ethical AI practices in terms of open-source software, freely available models, and training data transparency, except for music genre recognition due to limited access to training data.

I am the sage of the sky, ask me anything about the Earth's atmosphere and ionosphere

I help you evolve your habits and processes to preserve the habitability of the earth and much more

Your expert in meteorology, atmospheric science, and related physics/mathematics.

A sleep therapist creating peaceful atmospheres for tailored, empathetic guidance.

🎅 Thematic, atmosphere-rich Christmas villages.

Your custom adult game night host! It learns your group's details for a tailored, lively experience. With a focus on sophistication and humor, it creates a safe, fun atmosphere, keeping up with the latest trends in adult entertainment.

Uruguay, where the serene beauty of sun-kissed beaches meets the charm of historic towns, and the rhythm of candombe fills the air with vibrant energy. Explore the cobblestone streets of Colonia del Sacramento, soak up the artistic atmosphere of Montevideo! Ask me anything about Uruguay! 🇺🇾🌊🎨🐎

Industry-savvy cannabis retail design advisor.

Creates emotional, complex manga scenes with subtle foreshadowing.

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