Best AI tools for< Design Virtual Spaces >

Arrival is a cutting-edge software solution that allows users to design 3D virtual spaces with AI assistance and drag-and-drop functionality. It enables effortless creation of immersive environments by utilizing a built-in text-to-3D ML model, a user-friendly drag & drop interface, and seamless integration with leading virtual worlds and video gaming marketplaces.

AI HomeDesign is a top-notch AI-powered real estate photo editing service that offers Virtual Staging, Item Removal, Photo Enhancement, Day to Dusk, and Interior Design services. It caters to real estate professionals, photographers, interior designers, and home redesign enthusiasts. The application seamlessly integrates advanced machine learning and image recognition to provide tailored recommendations for property listings and interior design, redefining elegance, comfort, and style in the real estate industry.

REimagineHome is an innovative AI-based platform designed for virtual staging, emptying furnished spaces, landscaping, redesigning furnished rooms, and rendering exterior structures. It caters to professionals in real estate, marketing, photography, development, and interior design. The platform offers swift, intuitive, and customizable makeovers at a low cost, providing quick, photo-realistic design ideas without a learning curve.

Plais AI is an AI-powered interior design tool that allows users to generate realistic and visually appealing interior designs from photos of any space, whether empty or furnished. With Plais AI, users can explore different design styles, colors, and furniture arrangements to create the perfect look for their home or business. Plais AI is easy to use and affordable, making it a great option for anyone looking to improve the look of their space.

The website offers an AI Spatial Design tool that revolutionizes spatial design by providing advanced intelligence for creating and interacting with spaces. It features high-fidelity 3D modeling, real-time interaction, and transforming photos into visual experiences. Users can customize their buyer journey, boost walk-ins, and elevate living spaces with spatial intelligence. The tool also offers services for cabinet design, flooring, wall fill, countertop fill, furniture replacement, interior design, home redesign, partial remodel, and virtual staging.

Remodel AI is a powerful AI-powered platform that empowers users to effortlessly remodel and design their homes. With its intuitive tools and cutting-edge technology, Remodel AI makes it easy to experiment with different layouts, colors, and styles, and witness ideas come to life with just a few clicks. Users can save time and money by streamlining the design journey, allowing them to iterate quickly, make informed decisions, and save valuable time and money. Remodel AI is also a valuable tool for real estate agents, as it allows them to present properties with stunning virtual makeovers, giving potential buyers a clear vision of what could be. Whether users are aspiring designers or simply have an eye for aesthetics, Remodel AI unleashes creativity and makes it easy to explore endless design possibilities.

ArchitectGPT is an AI-powered home and interior design application that revolutionizes the way users plan and visualize their living spaces. With cutting-edge AI technology, ArchitectGPT offers a seamless design experience, allowing users to effortlessly craft stunning designs, personalize every corner of their space, and explore limitless design possibilities. From virtual staging to immersive 360 panoramas, ArchitectGPT combines the power of AI with professional design finesse to transform design desires into breathtaking realities.

Coohom is an all-in-one 3D design platform that allows users to create stunning home and interior designs with ease. With its user-friendly interface, extensive 3D model library, and powerful rendering engine, Coohom empowers designers and homeowners alike to visualize their dream spaces and bring them to life. From floor plans and furniture arrangements to photorealistic renderings and virtual tours, Coohom offers a comprehensive suite of tools to cater to all aspects of the design process.

RoomDog™ is an AI-powered interior design tool that allows users to easily redesign their living spaces using artificial intelligence technology. With RoomDog™, users can take a photo of their current interior, choose from a variety of design styles, and instantly transform their sketches into photorealistic renders. The application is perfect for homeowners and professionals looking to visualize potential changes with ease and precision. RoomDog™ offers virtual staging for real estate listings, helping homes sell faster and at a higher price. The tool stands out for its high photorealism, clear and sharp images, and a wide range of interior design styles to choose from.

DreamzAR is an innovative AI landscape and interior design application that redefines yard elegance and interior spaces. The app offers a wealth of garden design ideas tailored to users' yards, allowing them to effortlessly transform their outdoor and indoor spaces with the help of advanced technology. DreamzAR provides unique front and backyard landscaping ideas, virtual property staging, and a gallery of inspiring landscape and interior designs. Users can easily visualize their design concepts by uploading photos of their yards and leveraging AI-powered tools to create stunning and personalized designs. With features like 2D and 3D design tools, augmented reality capabilities, and a vast collection of plants and garden elements, DreamzAR makes landscape and interior design accessible, efficient, and cost-effective.

SofaBrain is an AI interior design application that offers virtual home staging software, catering to interior designers, real estate agents, and homeowners. With the ability to redesign, virtually stage, or render any room in seconds, SofaBrain has become a trusted tool for over 253,438 professionals and homeowners. The application provides a seamless experience for transforming spaces, offering a wide range of interior design styles and customization options. By leveraging AI technology, SofaBrain simplifies the interior design process, saving time and money while delivering stunning, realistic images to visualize the potential of any space.

Jife is an AI-powered platform that allows users to experience Japanese living through interior design. Users can upload a picture of their room and use AI Japanese Interior design to transform it into a Japanese interior in various styles. The platform offers features such as designing dream interiors in Japanese style, choosing from a wide range of room types, viewing and downloading designs, selecting famous designer styles, and selecting favorite Japanese styles. Jife aims to infuse the timeless charm of Japanese culture into users' living spaces, offering services from interior design to cuisine and fashion.

Room Reinvented is an AI-powered interior design tool that allows users to transform their living spaces with ease. With features like Restyle Your Room, Virtual Staging, Sketch, Object Removal Tool, AI-Generated Style Rooms, and Custom Prompts, Room Reinvented empowers users to visualize their dream space before making any real-life changes. The tool offers a wide range of interior design styles, color palettes, and furniture options to choose from, making it perfect for homeowners, renters, real estate agents, property managers, home sellers, artists, design students, and anyone looking to enhance their living space.

HomeStage is an AI-powered virtual furnishing tool that allows users to instantly visualize how their space would look with different furniture and decor items. With just one click, users can transform their empty rooms into beautifully furnished spaces, helping them make informed decisions about interior design and furniture placement. HomeStage leverages advanced AI algorithms to accurately place virtual furniture in real-time, providing a realistic and immersive experience for users. Whether you're a homeowner, interior designer, or real estate agent, HomeStage is the perfect solution to bring your design ideas to life.

Versy.ai is a text-to-space generative AI solution that allows users to create virtual experiences from a text prompt. It is designed to be cost-effective, customizable, data-driven, and scalable. Versy.ai can be used to create a variety of interactive experiences, including product configurations, events, escape rooms, leaderboards, treasure hunts, and more.

MegaSpace is a Metaverse Platform that offers immersive and exclusive experiences for businesses and events. It provides a range of Metaverse business applications, personalized landing pages, custom arenas, pre-loaded designs, 1:1 interaction lounges, private and public metaverses, voice-enabled interactions, humanized 3D avatars, and integrations with Convai, RealMe Player, and Inworld.ai. MegaSpace aims to create larger-than-life experiences, enliven 3D experiences, and offer innovative and responsive solutions for businesses and events.

REimagine Home is an AI-powered interior design platform that provides users with tools for virtual staging, remodeling, landscaping, and interior design. It is designed to be easy to use, with no learning curve, and is tailored for realtors, marketers, photographers, developers, and interior designers. With REimagine Home, users can quickly and easily create photo-realistic design ideas and visualizations, helping them to save time and money while delivering high-quality designs for diverse use cases.

Dreamhouse AI is an interior design and virtual staging tool that uses artificial intelligence to help users create realistic and visually appealing designs for their homes. With over 35 design styles to choose from, users can quickly and easily create a variety of looks for any space. Dreamhouse AI also offers virtual staging services, which allow users to see how their home would look with different furniture and decor. This can be a valuable tool for homeowners who are looking to sell their home or for realtors who are trying to market a property. Dreamhouse AI is easy to use and affordable, making it a great option for anyone who wants to improve the look of their home.

Quick Dreamviz is an instant dream home visualization tool that allows users to redesign their rooms using AI technology. With just a few clicks, users can upload a photo of their room, select a room type and theme, and watch as the AI generates a new design. Quick Dreamviz is perfect for anyone who wants to see how their dream home will look before it becomes a reality.

Virtual Staging is an AI-powered tool that allows you to virtually stage your empty rooms in seconds. Simply take a picture of your empty room, mask it, and get it staged in seconds. Virtual Staging is the only solution you need for virtual staging. It is realistic, lightning fast, and cheap. You can pay $1 instead of $25 for virtual staging.

CSGHub is an open source platform for managing large model assets, including datasets, model files, and codes. It offers functionalities similar to a privatized Huggingface, managing assets in a manner akin to how OpenStack Glance manages virtual machine images. Users can perform operations such as uploading, downloading, storing, verifying, and distributing assets through various interfaces. The platform provides microservice submodules and standardized OpenAPIs for easy integration with users' systems. CSGHub is designed for large models and can be deployed On-Premise for offline operation.

This repository is a curated collection of powerful AI tools that accelerate and enhance game development. It provides tools for asset, texture, image, code generation, animation video mocap, voice generation, speech recognition, conversational models, game design, search engine, AI NPC, Python libraries, and C# libraries. These tools streamline the creation process, save time, automate tasks, and unlock creative possibilities for game developers, whether indie or part of a studio. The repository aims to speed up development and enable the creation of immersive games by leveraging cutting-edge AI technologies.

CSGHub is an open source, trustworthy large model asset management platform that can assist users in governing the assets involved in the lifecycle of LLM and LLM applications (datasets, model files, codes, etc). With CSGHub, users can perform operations on LLM assets, including uploading, downloading, storing, verifying, and distributing, through Web interface, Git command line, or natural language Chatbot. Meanwhile, the platform provides microservice submodules and standardized OpenAPIs, which could be easily integrated with users' own systems. CSGHub is committed to bringing users an asset management platform that is natively designed for large models and can be deployed On-Premise for fully offline operation. CSGHub offers functionalities similar to a privatized Huggingface(on-premise Huggingface), managing LLM assets in a manner akin to how OpenStack Glance manages virtual machine images, Harbor manages container images, and Sonatype Nexus manages artifacts.

AI Product Home is a repository dedicated to collecting various AI commercial or open-source products. It provides assistance in submitting issues, self-recommendation, correcting resources, and more. The repository also features AI tools like Build Naidia, Autopod, Rytr, Mubert, and a virtual town driven by AI. It includes sections for AI models, chat dialogues, AI assistants, code assistance, artistic creation, content creation, and more. The repository covers a wide range of AI-related tools and resources for users interested in AI products and services.

Habitat-Sim is a high-performance physics-enabled 3D simulator with support for 3D scans of indoor/outdoor spaces, CAD models of spaces and piecewise-rigid objects, configurable sensors, robots described via URDF, and rigid-body mechanics. It prioritizes simulation speed over the breadth of simulation capabilities, achieving several thousand frames per second (FPS) running single-threaded and over 10,000 FPS multi-process on a single GPU when rendering a scene from the Matterport3D dataset. Habitat-Sim simulates a Fetch robot interacting in ReplicaCAD scenes at over 8,000 steps per second (SPS), where each ‘step’ involves rendering 1 RGBD observation (128×128 pixels) and rigid-body dynamics for 1/30sec.

MATLAB-Simulink-Challenge-Project-Hub is a repository aimed at contributing to the progress of engineering and science by providing challenge projects with real industry relevance and societal impact. The repository offers a wide range of projects covering various technology trends such as Artificial Intelligence, Autonomous Vehicles, Big Data, Computer Vision, and Sustainability. Participants can gain practical skills with MATLAB and Simulink while making a significant contribution to science and engineering. The projects are designed to enhance expertise in areas like Sustainability and Renewable Energy, Control, Modeling and Simulation, Machine Learning, and Robotics. By participating in these projects, individuals can receive official recognition for their problem-solving skills from technology leaders at MathWorks and earn rewards upon project completion.

Linly-Talker is an innovative digital human conversation system that integrates the latest artificial intelligence technologies, including Large Language Models (LLM) 🤖, Automatic Speech Recognition (ASR) 🎙️, Text-to-Speech (TTS) 🗣️, and voice cloning technology 🎤. This system offers an interactive web interface through the Gradio platform 🌐, allowing users to upload images 📷 and engage in personalized dialogues with AI 💬.

This repository contains the training and inference code needed to replicate the winning solution to the AI Mathematical Olympiad - Progress Prize 1. It consists of fine-tuning DeepSeekMath-Base 7B, high-quality training datasets, a self-consistency decoding algorithm, and carefully chosen validation sets. The training methodology involves Chain of Thought (CoT) and Tool Integrated Reasoning (TIR) training stages. Two datasets, NuminaMath-CoT and NuminaMath-TIR, were used to fine-tune the models. The models were trained using open-source libraries like TRL, PyTorch, vLLM, and DeepSpeed. Post-training quantization to 8-bit precision was done to improve performance on Kaggle's T4 GPUs. The project structure includes scripts for training, quantization, and inference, along with necessary installation instructions and hardware/software specifications.

WebLLM is a modular and customizable javascript package that directly brings language model chats directly onto web browsers with hardware acceleration. Everything runs inside the browser with no server support and is accelerated with WebGPU. WebLLM is fully compatible with OpenAI API. That is, you can use the same OpenAI API on any open source models locally, with functionalities including json-mode, function-calling, streaming, etc. We can bring a lot of fun opportunities to build AI assistants for everyone and enable privacy while enjoying GPU acceleration.

**deep** doctection is a Python library that orchestrates document extraction and document layout analysis tasks using deep learning models. It does not implement models but enables you to build pipelines using highly acknowledged libraries for object detection, OCR and selected NLP tasks and provides an integrated framework for fine-tuning, evaluating and running models. For more specific text processing tasks use one of the many other great NLP libraries. **deep** doctection focuses on applications and is made for those who want to solve real world problems related to document extraction from PDFs or scans in various image formats. **deep** doctection provides model wrappers of supported libraries for various tasks to be integrated into pipelines. Its core function does not depend on any specific deep learning library. Selected models for the following tasks are currently supported: * Document layout analysis including table recognition in Tensorflow with **Tensorpack**, or PyTorch with **Detectron2**, * OCR with support of **Tesseract**, **DocTr** (Tensorflow and PyTorch implementations available) and a wrapper to an API for a commercial solution, * Text mining for native PDFs with **pdfplumber**, * Language detection with **fastText**, * Deskewing and rotating images with **jdeskew**. * Document and token classification with all LayoutLM models provided by the **Transformer library**. (Yes, you can use any LayoutLM-model with any of the provided OCR-or pdfplumber tools straight away!). * Table detection and table structure recognition with **table-transformer**. * There is a small dataset for token classification available and a lot of new tutorials to show, how to train and evaluate this dataset using LayoutLMv1, LayoutLMv2, LayoutXLM and LayoutLMv3. * Comprehensive configuration of **analyzer** like choosing different models, output parsing, OCR selection. Check this notebook or the docs for more infos. * Document layout analysis and table recognition now runs with **Torchscript** (CPU) as well and **Detectron2** is not required anymore for basic inference. * [**new**] More angle predictors for determining the rotation of a document based on **Tesseract** and **DocTr** (not contained in the built-in Analyzer). * [**new**] Token classification with **LiLT** via **transformers**. We have added a model wrapper for token classification with LiLT and added a some LiLT models to the model catalog that seem to look promising, especially if you want to train a model on non-english data. The training script for LayoutLM can be used for LiLT as well and we will be providing a notebook on how to train a model on a custom dataset soon. **deep** doctection provides on top of that methods for pre-processing inputs to models like cropping or resizing and to post-process results, like validating duplicate outputs, relating words to detected layout segments or ordering words into contiguous text. You will get an output in JSON format that you can customize even further by yourself. Have a look at the **introduction notebook** in the notebook repo for an easy start. Check the **release notes** for recent updates. **deep** doctection or its support libraries provide pre-trained models that are in most of the cases available at the **Hugging Face Model Hub** or that will be automatically downloaded once requested. For instance, you can find pre-trained object detection models from the Tensorpack or Detectron2 framework for coarse layout analysis, table cell detection and table recognition. Training is a substantial part to get pipelines ready on some specific domain, let it be document layout analysis, document classification or NER. **deep** doctection provides training scripts for models that are based on trainers developed from the library that hosts the model code. Moreover, **deep** doctection hosts code to some well established datasets like **Publaynet** that makes it easy to experiment. It also contains mappings from widely used data formats like COCO and it has a dataset framework (akin to **datasets** so that setting up training on a custom dataset becomes very easy. **This notebook** shows you how to do this. **deep** doctection comes equipped with a framework that allows you to evaluate predictions of a single or multiple models in a pipeline against some ground truth. Check again **here** how it is done. Having set up a pipeline it takes you a few lines of code to instantiate the pipeline and after a for loop all pages will be processed through the pipeline.

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.

ChatData is a robust chat-with-documents application designed to extract information and provide answers by querying the MyScale free knowledge base or uploaded documents. It leverages the Retrieval Augmented Generation (RAG) framework, millions of Wikipedia pages, and arXiv papers. Features include self-querying retriever, VectorSQL, session management, and building a personalized knowledge base. Users can effortlessly navigate vast data, explore academic papers, and research documents. ChatData empowers researchers, students, and knowledge enthusiasts to unlock the true potential of information retrieval.

The STM32 AI model zoo is a collection of reference machine learning models optimized to run on STM32 microcontrollers. It provides a large collection of application-oriented models ready for re-training, scripts for easy retraining from user datasets, pre-trained models on reference datasets, and application code examples generated from user AI models. The project offers training scripts for transfer learning or training custom models from scratch. It includes performances on reference STM32 MCU and MPU for float and quantized models. The project is organized by application, providing step-by-step guides for training and deploying models.

AiTreasureBox is a versatile AI tool that provides a collection of pre-trained models and algorithms for various machine learning tasks. It simplifies the process of implementing AI solutions by offering ready-to-use components that can be easily integrated into projects. With AiTreasureBox, users can quickly prototype and deploy AI applications without the need for extensive knowledge in machine learning or deep learning. The tool covers a wide range of tasks such as image classification, text generation, sentiment analysis, object detection, and more. It is designed to be user-friendly and accessible to both beginners and experienced developers, making AI development more efficient and accessible to a wider audience.

LLM-PowerHouse is a comprehensive and curated guide designed to empower developers, researchers, and enthusiasts to harness the true capabilities of Large Language Models (LLMs) and build intelligent applications that push the boundaries of natural language understanding. This GitHub repository provides in-depth articles, codebase mastery, LLM PlayLab, and resources for cost analysis and network visualization. It covers various aspects of LLMs, including NLP, models, training, evaluation metrics, open LLMs, and more. The repository also includes a collection of code examples and tutorials to help users build and deploy LLM-based applications.

Awesome-LLM-Inference: A curated list of 📙Awesome LLM Inference Papers with Codes, check 📖Contents for more details. This repo is still updated frequently ~ 👨‍💻‍ Welcome to star ⭐️ or submit a PR to this repo!

Envision your living space in different shades and colors

Leader in Metaverse Design, Powered by OpenAI

Creative metaverse visual generator

< Augmented Reality Terminal >

I turn your creative ideas into stunning 3D digital art!

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AI influencer design expert for virtual personas and social media strategies

I'm a virtual Content Design assistant, from WorkingInContent.com

A virtual hairstylist offering personalized hairstyle advice and design illustrations.

Virtual tattoo designer for body art visualization.

Choose a special pet to tame, care for, adventure with & love. Create illustrations of your adventures together.

Seu assistente virtual para criações únicas de tatuagens, usando DALL-E para gerar conceitos personalizados que transformam suas ideias em arte.

Virtual tattoo instructor, friendly and professional, focused on personalized learning.

PhotoGenius is your virtual professional photographer, crafting hyper-realistic images with artistic flair. | ver. 001

Virtual Reality Simulated Experience

Virtual CTO adept in tech, leadership, and team dynamics

Your proactive virtual CTO, ready to implement requests

Virtual professor specializing in Blender Studio with practical examples.

Imagine a virtual co-founder with hands-on experience in building products at your side. I've programmed this AI with my own entrepreneurial playbook to guide you in crafting killer SaaS products, just as I would.

A virtual platform for robotics engineering and programming education.