Best AI tools for< Build Virtual Tours >

Wonda is an AI-powered platform that enables users to create immersive learning experiences and simulations. It offers a range of features such as AI companions, quiz and assessments, virtual tours, role-playing games, and virtual workshops. Users can easily build interactive learning journeys without the need for coding. Wonda aims to enhance engagement and collaboration in training and onboarding processes, making learning experiences unforgettable and impactful. The platform supports integration with various learning management systems and provides advanced role management options for secure sharing. With Wonda, users can unleash their creativity and build virtual exhibits to showcase their ideas and projects in a fun and engaging way.

IMRSIVO is a generative AI tool that allows digital designers to easily create interactive experiences on the web. With its user-friendly interface and powerful features, IMRSIVO empowers designers to focus on their creativity and bring their visions to life. The IMRSIVO creative suite enables real-time editing and publishing, allowing for seamless collaboration and efficient project management. Designers can create interactive projects using various media types and leverage the 3D editor for immersive composition experiences. IMRSIVO's cloud-based platform eliminates the need for local storage, ensuring accessibility and flexibility across multiple devices.

PhotoTravel AI is an innovative AI application that allows users to take photos of themselves at famous landmarks worldwide without physically traveling to those locations. Users can upload their images to build their AI model, which then generates realistic photos of them at iconic tourist spots. The application provides an affordable and convenient alternative to traditional travel, enabling users to create and share memories from the comfort of their homes.

Trip Planner Layla is a free AI agent designed to assist users in planning personalized travel itineraries. Users can interact with Layla through natural language queries to receive recommendations on hotels, activities, dining options, and more. Layla aims to simplify the trip planning process by providing tailored suggestions based on user preferences and constraints. With a focus on enhancing the travel experience, Layla serves as a virtual travel assistant, offering curated suggestions for accommodations, attractions, and activities to create memorable and seamless trips.

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.

Picovoice is an on-device Voice AI and local LLM platform designed for enterprises. It offers a range of voice AI and LLM solutions, including speech-to-text, noise suppression, speaker recognition, speech-to-index, wake word detection, and more. Picovoice empowers developers to build virtual assistants and AI-powered products with compliance, reliability, and scalability in mind. The platform allows enterprises to process data locally without relying on third-party remote servers, ensuring data privacy and security. With a focus on cutting-edge AI technology, Picovoice enables users to stay ahead of the curve and adapt quickly to changing customer needs.

AIReception is a conversational AI voice assistant platform that allows businesses to build virtual receptionists capable of answering customer questions 24/7. The AI voice assistants are designed to replicate human speech patterns and interactions, providing a natural and immersive experience. The platform offers features such as hyper-realistic voices, human-like interaction, perfect memory, customizable responses, and call transferring. AIReception aims to enhance customer service, reduce overhead costs, and provide detailed analytics for customer interactions.

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.

BotGPT is a 24/7 custom AI chatbot assistant for websites. It offers a data-driven ChatGPT that allows users to create virtual assistants from their own data. Users can easily upload files or crawl their website to start asking questions and deploy a custom chatbot on their website within minutes. The platform provides a simple and efficient way to enhance customer engagement through AI-powered chatbots.

QuestWiz is an AI-powered customer support agent designed for small and medium-sized businesses. It provides a personalized AI assistant that learns from your website and files to become an expert on your business within minutes. The tool enables you to instantly answer visitor's questions 24/7 without the need for AI or coding expertise. QuestWiz allows you to create a unique AI chatbot that matches your business branding and provides spot-on answers with your brand's personality. It helps automate common customer questions, offers self-service options, and ensures your customers receive assistance round the clock.

Cuecard is an AI-powered sales co-pilot tool designed to revolutionize the sales process by providing AI-driven knowledge and personalized experiences to help sales teams close deals faster. It offers features such as interactive outreach, efficient research, real-time answers, centralized knowledge access, and improved sales velocity. Cuecard is trusted by leading brands of all sizes and offers a live demo for users to experience its innovative features firsthand.

B-Bot is an innovative platform that empowers businesses and individuals to easily create and manage AI solutions. With a focus on accessibility and fairness, B-Bot streamlines the AI development process, making advanced technology available to everyone. Users can build their own Virtual Experts, train them, and profit from their capabilities. The platform also offers integration with various AI models and databases for enhanced functionality and automation. Join the B-Bot community to exchange ideas, network, and shape the future together.

3pi.ai is a conversational AI platform that helps businesses build and deploy AI-powered chatbots and virtual assistants. It provides a range of features to help businesses create engaging and informative chatbots, including natural language processing, machine learning, and a drag-and-drop interface. 3pi.ai's chatbots can be used to automate customer service, sales, and marketing tasks, and can be deployed on a variety of platforms, including websites, messaging apps, and social media.

SynthLife is an AI Influencer Creator tool that allows users to easily create, grow, and monetize virtual influencers. With features like creating faceless TikTok and YouTube channels, generating unique AI faces, and integrating with social media platforms, SynthLife provides a comprehensive solution for users to manage their AI influencers efficiently. Users can create up to five Synths within one account, repurpose content from other channels, and bring their own AI faces into the platform. SynthLife offers different plans with features like auto-scheduling, image generation, social media integrations, and voice synthesis to help users build, grow, and monetize their AI influencers effectively.

Wiz Attendant is a virtual assistant that helps businesses automate their customer service and support operations. It uses artificial intelligence (AI) to understand customer queries and provide relevant answers, 24/7. Wiz Attendant can be integrated with a business's website, messaging apps, and social media channels, making it easy for customers to get help whenever and wherever they need it.

ChatBotKit is a platform that helps you create and interact with chatbots, access a variety of tools and services, and also gives you access to pre-built apps that you can use to perform a wide range of tasks. With ChatBotKit, you can build custom GPT for your website, create AI widgets, explore AI solutions, create immersive and interactive AI experiences, craft compelling AI personas, enhance the learning experience with AI-powered educational tools, automate repetitive tasks and streamline your workflows with AI-powered automation tools, leverage the power of conversational AI to drive more sales and conversions, and enhance your customer support experience with intelligent chatbots.

InfluencerFarm is a website that allows users to generate AI-powered virtual influencers. With InfluencerFarm, users can create realistic AI influencers that can be used for a variety of purposes, such as marketing, advertising, and social media. InfluencerFarm's AI influencers are created using a combination of machine learning and computer graphics, and they are designed to be indistinguishable from real humans. InfluencerFarm offers a variety of features that make it easy to create and manage AI influencers, including a user-friendly dashboard, a library of pre-made templates, and a team of dedicated support staff. InfluencerFarm is a powerful tool that can be used to create realistic and engaging AI influencers for a variety of purposes.

Flowise is an open-source, low-code tool that enables developers to build customized LLM orchestration flows and AI agents. It provides a drag-and-drop interface, pre-built app templates, conversational agents with memory, and seamless deployment on cloud platforms. Flowise is backed by Combinator and trusted by teams around the globe.

Voximplant is a cloud communications platform that provides a range of tools and services for businesses to build and scale their communications solutions. The platform includes a variety of features such as voice, video, messaging, natural language processing, and SIP trunking. Voximplant also offers a no-code drag-and-drop contact center solution called Voximplant Kit, which is designed to help businesses improve customer experience and automate processes. Voximplant is used by millions of users worldwide and is trusted by companies such as Airbnb, Uber, and Salesforce.

ThirdAI is a production-ready AI platform designed for enterprises, offering out-of-the-box solutions that work at scale with 10x better price performance. It provides enterprise-grade productivity tools like document search & retrieval, content creation, FAQ bots, customer live support, hyper-personalization, risk & compliance, fraud detection, anomaly detection, and PII/sensitive data redaction. The platform allows users to bring their business problems, apply on their data, and compose AI applications without the need for extensive POC cycles or manual fine-tuning. ThirdAI focuses on low latency, security, scalability, and performance, enabling business leaders to solve critical needs in weeks, not months or years.

HuggingFaceGuidedTourForMac is a guided tour on how to install optimized pytorch and optionally Apple's new MLX, JAX, and TensorFlow on Apple Silicon Macs. The repository provides steps to install homebrew, pytorch with MPS support, MLX, JAX, TensorFlow, and Jupyter lab. It also includes instructions on running large language models using HuggingFace transformers. The repository aims to help users set up their Macs for deep learning experiments with optimized performance.

Langroid is a Python framework that makes it easy to build LLM-powered applications. It uses a multi-agent paradigm inspired by the Actor Framework, where you set up Agents, equip them with optional components (LLM, vector-store and tools/functions), assign them tasks, and have them collaboratively solve a problem by exchanging messages. Langroid is a fresh take on LLM app-development, where considerable thought has gone into simplifying the developer experience; it does not use Langchain.

DB2Rest is a modern low-code REST DATA API platform that simplifies the development of intelligent applications. It seamlessly integrates existing and new databases with language models (LMs/LLMs) and vector stores, enabling the rapid delivery of context-aware, reasoning applications without vendor lock-in.

DB2Rest is a modern low code REST DATA API platform that enables the rapid development of intelligent applications by combining databases, language models, and vector stores. It facilitates context-aware, reasoning applications without vendor lock-in. The tool accelerates application delivery, fosters faster innovation with AI, serves as a secure database gateway, and simplifies integration. It supports various databases like PostgreSQL, MySQL, MS SQL Server, Oracle, MongoDB, and more, with planned support for additional databases. Users can connect on Discord for support and contact [email protected] for inquiries.

Awesome MLOps is a curated list of tools related to Machine Learning Operations, covering areas such as AutoML, CI/CD for Machine Learning, Data Cataloging, Data Enrichment, Data Exploration, Data Management, Data Processing, Data Validation, Data Visualization, Drift Detection, Feature Engineering, Feature Store, Hyperparameter Tuning, Knowledge Sharing, Machine Learning Platforms, Model Fairness and Privacy, Model Interpretability, Model Lifecycle, Model Serving, Model Testing & Validation, Optimization Tools, Simplification Tools, Visual Analysis and Debugging, and Workflow Tools. The repository provides a comprehensive collection of tools and resources for individuals and teams working in the field of MLOps.

The collection of pre-trained, state-of-the-art AI models. ailia SDK is a self-contained, cross-platform, high-speed inference SDK for AI. The ailia SDK provides a consistent C++ API across Windows, Mac, Linux, iOS, Android, Jetson, and Raspberry Pi platforms. It also supports Unity (C#), Python, Rust, Flutter(Dart) and JNI for efficient AI implementation. The ailia SDK makes extensive use of the GPU through Vulkan and Metal to enable accelerated computing. # Supported models 323 models as of April 8th, 2024

This repository does not provide a tool, but rather a collection of resources and strategies for academics in the field of artificial intelligence who are feeling depressed or overwhelmed by the rapid advancements in the field. The resources include articles, blog posts, and other materials that offer advice on how to cope with the challenges of working in a fast-paced and competitive environment.

This repository is a comprehensive guide for individuals looking to start and improve their skills in Large Language Models (LLMs) without an advanced background in the field. It provides free resources, online courses, books, articles, and practical tips to become an expert in machine learning. The guide covers topics such as terminology, transformers, prompting, retrieval augmented generation (RAG), and more. It also includes recommendations for podcasts, YouTube videos, and communities to stay updated with the latest news in AI and LLMs.

Scientific Large Language Models (Sci-LLMs) is a repository that collects papers on scientific large language models, focusing on biology and chemistry domains. It includes textual, molecular, protein, and genomic languages, as well as multimodal language. The repository covers various large language models for tasks such as molecule property prediction, interaction prediction, protein sequence representation, protein sequence generation/design, DNA-protein interaction prediction, and RNA prediction. It also provides datasets and benchmarks for evaluating these models. The repository aims to facilitate research and development in the field of scientific language modeling.

The 'awesome-AI4MolConformation-MD' repository focuses on protein conformations and molecular dynamics using generative artificial intelligence and deep learning. It provides resources, reviews, datasets, packages, and tools related to AI-driven molecular dynamics simulations. The repository covers a wide range of topics such as neural networks potentials, force fields, AI engines/frameworks, trajectory analysis, visualization tools, and various AI-based models for protein conformational sampling. It serves as a comprehensive guide for researchers and practitioners interested in leveraging AI for studying molecular structures and dynamics.

AI Town is a virtual town where AI characters live, chat, and socialize. This project provides a deployable starter kit for building and customizing your own version of AI Town. It features a game engine, database, vector search, auth, text model, deployment, pixel art generation, background music generation, and local inference. You can customize your own simulation by creating characters and stories, updating spritesheets, changing the background, and modifying the background music.

ProbSem is a repository that provides a framework to leverage large language models (LLMs) for assigning context-conditional probability distributions over queried strings. It supports OpenAI engines and HuggingFace CausalLM models, and is flexible for research applications in linguistics, cognitive science, program synthesis, and NLP. Users can define prompts, contexts, and queries to derive probability distributions over possible completions, enabling tasks like cloze completion, multiple-choice QA, semantic parsing, and code completion. The repository offers CLI and API interfaces for evaluation, with options to customize models, normalize scores, and adjust temperature for probability distributions.

Build your dream team with Autogen is a repository that leverages Microsoft Autogen 0.4, Azure OpenAI, and Streamlit to create an end-to-end multi-agent application. It provides an advanced multi-agent framework based on Magentic One, with features such as a friendly UI, single-line deployment, secure code execution, managed identities, and observability & debugging tools. Users can deploy Azure resources and the app with simple commands, work locally with virtual environments, install dependencies, update configurations, and run the application. The repository also offers resources for learning more about building applications with Autogen.

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.

This simple package can be used to fix an invalid json string. To know all cases in which this package will work, check out the unit test. Inspired by https://github.com/josdejong/jsonrepair Motivation Some LLMs are a bit iffy when it comes to returning well formed JSON data, sometimes they skip a parentheses and sometimes they add some words in it, because that's what an LLM does. Luckily, the mistakes LLMs make are simple enough to be fixed without destroying the content. I searched for a lightweight python package that was able to reliably fix this problem but couldn't find any. So I wrote one How to use from json_repair import repair_json good_json_string = repair_json(bad_json_string) # If the string was super broken this will return an empty string You can use this library to completely replace `json.loads()`: import json_repair decoded_object = json_repair.loads(json_string) or just import json_repair decoded_object = json_repair.repair_json(json_string, return_objects=True) Read json from a file or file descriptor JSON repair provides also a drop-in replacement for `json.load()`: import json_repair try: file_descriptor = open(fname, 'rb') except OSError: ... with file_descriptor: decoded_object = json_repair.load(file_descriptor) and another method to read from a file: import json_repair try: decoded_object = json_repair.from_file(json_file) except OSError: ... except IOError: ... Keep in mind that the library will not catch any IO-related exception and those will need to be managed by you Performance considerations If you find this library too slow because is using `json.loads()` you can skip that by passing `skip_json_loads=True` to `repair_json`. Like: from json_repair import repair_json good_json_string = repair_json(bad_json_string, skip_json_loads=True) I made a choice of not using any fast json library to avoid having any external dependency, so that anybody can use it regardless of their stack. Some rules of thumb to use: - Setting `return_objects=True` will always be faster because the parser returns an object already and it doesn't have serialize that object to JSON - `skip_json_loads` is faster only if you 100% know that the string is not a valid JSON - If you are having issues with escaping pass the string as **raw** string like: `r"string with escaping\"" Adding to requirements Please pin this library only on the major version! We use TDD and strict semantic versioning, there will be frequent updates and no breaking changes in minor and patch versions. To ensure that you only pin the major version of this library in your `requirements.txt`, specify the package name followed by the major version and a wildcard for minor and patch versions. For example: json_repair==0.* In this example, any version that starts with `0.` will be acceptable, allowing for updates on minor and patch versions. How it works This module will parse the JSON file following the BNF definition: ::= | ::= | | ; Where: ; is a valid real number expressed in one of a number of given formats ; is a string of valid characters enclosed in quotes ; is one of the literal strings 'true', 'false', or 'null' (unquoted) ::=