Best AI tools for< Create Visual Representations >

Record is a visual communication tool that helps users to communicate user problems visually. It allows users to create and share visual representations of user problems, which can help to improve communication and understanding between users and developers.

Map Mind is an AI-powered mind mapping tool that helps users organize their thoughts and ideas. It provides a variety of features to help users create beautiful and effective mind maps, including AI-powered tools that can help users generate ideas, organize their thoughts, and create visual representations of their ideas.

Algor Education is an online mind mapping tool that uses AI to help users create visual representations of text, images, and audio files. With Algor Education, users can quickly and easily create mind maps that can be used for a variety of purposes, including studying, brainstorming, and taking notes. Algor Education offers a variety of features that make it a powerful tool for students, teachers, and professionals alike. These features include the ability to:

Movietoemojiwebmain is a website that allows users to convert movie titles into emojis. Users can input the name of a movie, and the website will generate a corresponding set of emojis that represent the movie title. This fun and creative tool provides a unique way to express movie titles using visual symbols.

Mapify is an AI-powered tool that transforms any type of content, such as text, images, audio, and files, into clear and concise mind maps. It helps users break down complex information into structured visual representations, saving time and enhancing productivity. Mapify offers features like instant mapping from documents and videos, text-to-image conversion, and AI-assisted brainstorming. Users can benefit from built-in AI templates, real-time web access, and chat interactions to optimize their workspace and idea visualization process.

Stable Diffusion 3 is an advanced text-to-image model developed by Stability AI, offering significant improvements in image fidelity, multi-subject handling, and text adherence. Leveraging the Multimodal Diffusion Transformer (MMDiT) architecture, it features separate weights for image and language representations. Users can access the model through the Stable Diffusion 3 API, download options, and online platforms to experience its capabilities and benefits.

Diagramix is an AI-powered tool that allows users to generate various types of diagrams, such as sequence diagrams, flowcharts, state diagrams, ER diagrams, user journey diagrams, class diagrams, mind maps, and use case diagrams. Users can create these diagrams easily and efficiently with the help of Diagramix and ChatGPT. The tool provides a user-friendly interface for creating visual representations of complex systems and processes, making it ideal for professionals, students, and anyone who needs to visualize information.

The Visual Computing & Artificial Intelligence Lab at TUM is a group of research enthusiasts advancing cutting-edge research at the intersection of computer vision, computer graphics, and artificial intelligence. Our research mission is to obtain highly-realistic digital replica of the real world, which include representations of detailed 3D geometries, surface textures, and material definitions of both static and dynamic scene environments. In our research, we heavily build on advances in modern machine learning, and develop novel methods that enable us to learn strong priors to fuel 3D reconstruction techniques. Ultimately, we aim to obtain holographic representations that are visually indistinguishable from the real world, ideally captured from a simple webcam or mobile phone. We believe this is a critical component in facilitating immersive augmented and virtual reality applications, and will have a substantial positive impact in modern digital societies.

Phenaki is a model capable of generating realistic videos from a sequence of textual prompts. It is particularly challenging to generate videos from text due to the computational cost, limited quantities of high-quality text-video data, and variable length of videos. To address these issues, Phenaki introduces a new causal model for learning video representation, which compresses the video to a small representation of discrete tokens. This tokenizer uses causal attention in time, which allows it to work with variable-length videos. To generate video tokens from text, Phenaki uses a bidirectional masked transformer conditioned on pre-computed text tokens. The generated video tokens are subsequently de-tokenized to create the actual video. To address data issues, Phenaki demonstrates how joint training on a large corpus of image-text pairs as well as a smaller number of video-text examples can result in generalization beyond what is available in the video datasets. Compared to previous video generation methods, Phenaki can generate arbitrarily long videos conditioned on a sequence of prompts (i.e., time-variable text or a story) in an open domain. To the best of our knowledge, this is the first time a paper studies generating videos from time-variable prompts. In addition, the proposed video encoder-decoder outperforms all per-frame baselines currently used in the literature in terms of spatio-temporal quality and the number of tokens per video.

Diagramming AI is an innovative tool that allows users to instantly design and edit UML structures, workflow designs, and various other diagrams with the power of AI. It offers features such as AI-powered automated diagram creation, AI chat for discussions and suggestions, quick edit functionality, project-based diagram code storage, flexible export options, customizable color themes, URL to diagram conversion, image to diagram generation, a library of diagram templates, and more. The tool caters to professionals like software developers, project managers, data analysts, educators, technical writers, business analysts, product managers, researchers, students, and marketing professionals, enhancing their visual representation capabilities across various domains.

Canvas AI is an innovative AI tool designed to assist businesses in generating strategy canvases and business models. It leverages artificial intelligence to provide suggestions, templates, and visualizations that enhance strategic insights and decision-making. With features like AI-driven content generation, image illustration, and product management insights, Canvas AI aims to revolutionize the way businesses innovate and strategize. The tool is user-friendly and accessible, offering a seamless experience for users to co-create, innovate, and transform their business ideas into actionable strategies.

PandasAI is an open-source AI tool designed for conversational data analysis. It allows users to ask questions in natural language to their enterprise data and receive real-time data insights. The tool is integrated with various data sources and offers enhanced analytics, actionable insights, detailed reports, and visual data representation. PandasAI aims to democratize data analysis for better decision-making, offering enterprise solutions for stable and scalable internal data analysis. Users can also fine-tune models, ingest universal data, structure data automatically, augment datasets, extract data from websites, and forecast trends using AI.

Apparate AI PROTEUS is an AI tool that focuses on creating real-time visual embodiment with generative humans. The tool aims to develop foundation models for real-time generative humans that are approachable, expressive, and friendly. PROTEUS is touted as the most realistic, expressive, and fastest generative human API available.

Katalist is a generative AI tool that helps filmmakers, advertisers, and content creators visualize their ideas. It uses AI to analyze scripts and generate consistent characters, scenes, and visuals. Katalist can help you create storyboards, pitches, and other visual content quickly and easily.

Threekit is a visual product configurator tool designed for brands and manufacturers to enhance online product customization and purchasing experiences. It offers differentiated visual experiences for leading brands in various categories such as furniture, jewelry, sporting goods, commercial bath, and custom doors. Threekit enables users to connect with buyers through amazing visual configurations, 3D modeling, virtual photography, space planning, and augmented reality. The platform also provides tools like bill of material, spec sheets, quotes, and integrations with eCommerce, ERP, configurator, PIM, and more to streamline sales processes. With Threekit, businesses can manage product updates, syndicate product experiences across sales channels, and set business rules and automations.

Chromox is an AI-powered tool that transforms ideas into visual stories. It offers infinite visual possibilities by generating featured stories, from exciting car races to supernatural roommates scenarios. The tool utilizes Image to Video technology to create cutting-edge AI-generated videos, expanding creative space, enhancing creativity, and simplifying the video creation process.

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.

CreateLogo is an AI logo generator that allows users to create pixel-perfect logos in seconds without the need for design skills. The tool offers beautiful, high-quality logo designs and the flexibility to customize them. Users can choose from a variety of models like 'Modern Abstract', 'Multi-purpose HD', 'Modern Letter', and more. CreateLogo stands out as more than just another AI logo generator by providing unique and customizable designs, including scalable vector SVG logos. With a pay-as-you-go model, users can buy credits to generate logos as needed, without any subscriptions. The tool also offers AI-enhanced logo prompts and grants users full rights to their logos. Pricing starts at $0.09 per logo, with variations based on the model and credits purchased.

Deepfakes Web is an online deepfake software that allows users to create deepfake videos by uploading videos and clicking a button. The app uses AI to swap faces in the videos, and the results can be surprisingly realistic. Deepfakes Web is private and secure, and users can reuse their trained models to improve the quality of their results. The app is available for a low cost, and it has a number of features that make it easy to use, including a user-friendly interface and a variety of templates to choose from.

Wonder Studio is an AI-powered CG animation tool that automatically animates, lights, and composes CG characters into a live-action scene. It is designed to make the process of creating visual effects easier and more accessible, allowing artists to focus on the creative aspects of their work. Wonder Studio is used by a variety of professionals in the film and television industry, including visual effects artists, animators, and directors.

STRIDE GPT is an AI-powered threat modelling tool that leverages Large Language Models (LLMs) to generate threat models and attack trees for a given application based on the STRIDE methodology. Users provide application details, such as the application type, authentication methods, and whether the application is internet-facing or processes sensitive data. The model then generates its output based on the provided information. It features a simple and user-friendly interface, supports multi-modal threat modelling, generates attack trees, suggests possible mitigations for identified threats, and does not store application details. STRIDE GPT can be accessed via OpenAI API, Azure OpenAI Service, Google AI API, or Mistral API. It is available as a Docker container image for easy deployment.

The 'llms-tools' repository is a comprehensive collection of AI tools, open-source projects, and research related to Large Language Models (LLMs) and Chatbots. It covers a wide range of topics such as AI in various domains, open-source models, chats & assistants, visual language models, evaluation tools, libraries, devices, income models, text-to-image, computer vision, audio & speech, code & math, games, robotics, typography, bio & med, military, climate, finance, and presentation. The repository provides valuable resources for researchers, developers, and enthusiasts interested in exploring the capabilities of LLMs and related technologies.

This repository contains a hand-curated list of great machine (deep) learning resources for Natural Language Processing (NLP) with a focus on Generative Pre-trained Transformer (GPT), Bidirectional Encoder Representations from Transformers (BERT), attention mechanism, Transformer architectures/networks, Chatbot, and transfer learning in NLP.

The Clarifai Python SDK offers a comprehensive set of tools to integrate Clarifai's AI platform to leverage computer vision capabilities like classification , detection ,segementation and natural language capabilities like classification , summarisation , generation , Q&A ,etc into your applications. With just a few lines of code, you can leverage cutting-edge artificial intelligence to unlock valuable insights from visual and textual content.

ShapeLLM is the first 3D Multimodal Large Language Model designed for embodied interaction, exploring a universal 3D object understanding with 3D point clouds and languages. It supports single-view colored point cloud input and introduces a robust 3D QA benchmark, 3D MM-Vet, encompassing various variants. The model extends the powerful point encoder architecture, ReCon++, achieving state-of-the-art performance across a range of representation learning tasks. ShapeLLM can be used for tasks such as training, zero-shot understanding, visual grounding, few-shot learning, and zero-shot learning on 3D MM-Vet.

The LLM course is divided into three parts: 1. 🧩 **LLM Fundamentals** covers essential knowledge about mathematics, Python, and neural networks. 2. 🧑‍🔬 **The LLM Scientist** focuses on building the best possible LLMs using the latest techniques. 3. 👷 **The LLM Engineer** focuses on creating LLM-based applications and deploying them. For an interactive version of this course, I created two **LLM assistants** that will answer questions and test your knowledge in a personalized way: * 🤗 **HuggingChat Assistant**: Free version using Mixtral-8x7B. * 🤖 **ChatGPT Assistant**: Requires a premium account. ## 📝 Notebooks A list of notebooks and articles related to large language models. ### Tools | Notebook | Description | Notebook | |----------|-------------|----------| | 🧐 LLM AutoEval | Automatically evaluate your LLMs using RunPod |  | | 🥱 LazyMergekit | Easily merge models using MergeKit in one click. |  | | 🦎 LazyAxolotl | Fine-tune models in the cloud using Axolotl in one click. |  | | ⚡ AutoQuant | Quantize LLMs in GGUF, GPTQ, EXL2, AWQ, and HQQ formats in one click. |  | | 🌳 Model Family Tree | Visualize the family tree of merged models. |  | | 🚀 ZeroSpace | Automatically create a Gradio chat interface using a free ZeroGPU. |  |

Here we will keep track of the AI Game Development Tools, including LLM, Agent, Code, Writer, Image, Texture, Shader, 3D Model, Animation, Video, Audio, Music, Singing Voice and Analytics. 🔥 * Tool (AI LLM) * Game (Agent) * Code * Framework * Writer * Image * Texture * Shader * 3D Model * Avatar * Animation * Video * Audio * Music * Singing Voice * Speech * Analytics * Video Tool

Welcome to `OPEN ODYSSEY 1.0` - an Open-source extravaganza for Python and AI/ML Projects. Collaborating with MLH (Major League Hacking), this repository welcomes contributions in the form of fixing outstanding issues, submitting bug reports or new feature requests, adding new projects, implementing new models, and encouraging creativity. Follow the instructions to contribute by forking the repository, cloning it to your PC, creating a new folder for your project, and making a pull request. The repository also features a special Leaderboard for top contributors and offers certificates for all participants and mentors. Follow `OPEN ODYSSEY 1.0` on social media for swift approval of your quest.

Notes on AI state of the art, with a focus on generative and large language models. These are the "raw materials" for the https://lspace.swyx.io/ newsletter. This repo used to be called https://github.com/sw-yx/prompt-eng, but was renamed because Prompt Engineering is Overhyped. This is now an AI Engineering notes repo.

This repository contains a comprehensive collection of 63 must-know Large Language Models (LLMs) interview questions. It covers topics such as the architecture of LLMs, transformer models, attention mechanisms, training processes, encoder-decoder frameworks, differences between LLMs and traditional statistical language models, handling context and long-term dependencies, transformers for parallelization, applications of LLMs, sentiment analysis, language translation, conversation AI, chatbots, and more. The readme provides detailed explanations, code examples, and insights into utilizing LLMs for various tasks.

The LLMEvaluation repository is a comprehensive compendium of evaluation methods for Large Language Models (LLMs) and LLM-based systems. It aims to assist academics and industry professionals in creating effective evaluation suites tailored to their specific needs by reviewing industry practices for assessing LLMs and their applications. The repository covers a wide range of evaluation techniques, benchmarks, and studies related to LLMs, including areas such as embeddings, question answering, multi-turn dialogues, reasoning, multi-lingual tasks, ethical AI, biases, safe AI, code generation, summarization, software performance, agent LLM architectures, long text generation, graph understanding, and various unclassified tasks. It also includes evaluations for LLM systems in conversational systems, copilots, search and recommendation engines, task utility, and verticals like healthcare, law, science, financial, and others. The repository provides a wealth of resources for evaluating and understanding the capabilities of LLMs in different domains.

The 'awesome-mobile-robotics' repository is a curated list of important content related to Mobile Robotics and AI. It includes resources such as courses, books, datasets, software and libraries, podcasts, conferences, journals, companies and jobs, laboratories and research groups, and miscellaneous resources. The repository covers a wide range of topics in the field of Mobile Robotics and AI, providing valuable information for enthusiasts, researchers, and professionals in the domain.

KG-LLM-Papers is a repository that collects papers integrating knowledge graphs (KGs) and large language models (LLMs). It serves as a comprehensive resource for research on the role of KGs in the era of LLMs, covering surveys, methods, and resources related to this integration.

Codefuse-ModelCache is a semantic cache for large language models (LLMs) that aims to optimize services by introducing a caching mechanism. It helps reduce the cost of inference deployment, improve model performance and efficiency, and provide scalable services for large models. The project caches pre-generated model results to reduce response time for similar requests and enhance user experience. It integrates various embedding frameworks and local storage options, offering functionalities like cache-writing, cache-querying, and cache-clearing through RESTful API. The tool supports multi-tenancy, system commands, and multi-turn dialogue, with features for data isolation, database management, and model loading schemes. Future developments include data isolation based on hyperparameters, enhanced system prompt partitioning storage, and more versatile embedding models and similarity evaluation algorithms.

I'm like Einstein, making physics clear and visual.

Cocktail mixologist expert with visual drink representations.

I specialize in crafting custom cake designs, offering visual representations and tailored recipes according to individual tastes and preferences.

As a Good Design Advisor, I provide consultation and advice on design topics and analyze designs that are provided through documents or links. I can also generate visual representations myself to illustrate design concepts.

Creates Etsy product mockups based on your images and ideas to showcase your digital art

擬人化してほしい単語(例えばウサギなど)から、擬人化したイラストを生成する。

Optional: Insert your character sheet and physical description. Or, use the suggested sheet below. // Note: You may have to remind this simulator to generate visuals by inserting "Please include a visual representation" at the end of your command/prompt."

Create a collage image using words. Copyright (C) 2023, Sourceduty - All Rights Reserved.

Generate a diagram from a description or code snippet

I help create visual figures, focusing on details like star angles, in a friendly yet professional manner.

Create visual recaps from your 2023 ChatGPT chat history.

Organizes text into structured output and creates visual mind maps.

SNS & Web marketing expert focused on monetization and visual content creation.

Instructional guide with DALLE visuals

A GPT that turns language into engaging visual art.

Ren'Py coding and dialogue aide

Bu görüntü oluşturucu, metin açıklamalarından görüntüler oluşturmak için tasarlanmış bir AI programıdır. Kullanıcılar sadece basit bir metin girerek yaratıcı görseller elde edebilir, bu da fikirlerini görsel olarak hayata geçirmek isteyen herkes için mükemmeldir.

Creates startup-style visual and tagline for products.

Generates manga symbols with visual guides.

I offer tips and scripts for Blender.