Best AI tools for< Develop Vision Statement >

Datagen is a platform that provides synthetic data for computer vision. Synthetic data is artificially generated data that can be used to train machine learning models. Datagen's data is generated using a variety of techniques, including 3D modeling, computer graphics, and machine learning. The company's data is used by a variety of industries, including automotive, security, smart office, fitness, cosmetics, and facial applications.

PaceAI is an AI assistant designed for IT professionals to generate, analyze, and simplify software documentation on IT projects. It uses advanced generative AI models to understand the user's vision, analyze requirements, and automatically generate clear, concise software documentation tailored to the project's needs. With 35+ powerful AI tools, PaceAI assists in every phase of the project, from planning to deployment.

QuarkIQL is a generative testing tool for computer vision APIs. It allows users to create custom test images and requests with just a few clicks. QuarkIQL also provides a log of your queries so you can run more experiments without starting from square one.

Tangram Vision is a company that provides sensor calibration tools and infrastructure for robotics and autonomous vehicles. Their products include MetriCal, a high-speed bundle adjustment software for precise sensor calibration, and AutoCal, an on-device, real-time calibration health check and adjustment tool. Tangram Vision also offers a high-resolution depth sensor called HiFi, which combines high-resolution depth data with high-powered AI capabilities. The company's mission is to accelerate the development and deployment of autonomous systems by providing the tools and infrastructure needed to ensure the accuracy and reliability of sensors.

The Edge AI and Vision Alliance is a platform that provides practical technical insights and expert advice for developers building AI or vision-enabled products. It offers information on the latest vision, AI, and deep learning technologies, standards, market research, and applications. The Alliance aims to help users incorporate visual and artificial intelligence into their products effectively and efficiently.

Move 37 is an AI product studio that has been designing, building, and shipping AI products since 2017. They specialize in designing, developing, and managing AI products, tools, and workflows to help users unlock new levels of insight, productivity, and efficiency. By reimagining how work gets done collaboratively, they aim to bring teams, executives, and organizations together to realize better work futures and products. Move 37 offers services such as generative reporting, research and insights, product development, customer service, and content generation.

Recognito is a leading facial recognition technology provider, offering the NIST FRVT Top 1 Face Recognition Algorithm. Their high-performance biometric technology is used by police forces and security services to enhance public safety, manage individual movements, and improve audience analytics for businesses. Recognito's software goes beyond object detection to provide detailed user role descriptions and develop user flows. The application enables rapid face and body attribute recognition, video analytics, and artificial intelligence analysis. With a focus on security, living, and business improvements, Recognito helps create safer and more prosperous cities.

Datature is an all-in-one platform for building and deploying computer vision models. It provides tools for data management, annotation, training, and deployment, making it easy to develop and implement computer vision solutions. Datature is used by a variety of industries, including healthcare, retail, manufacturing, and agriculture.

CreateApp.ai is an AI-powered app development platform that allows users to develop apps in days, not months. It is trusted by leading companies and startup incubators. CreateApp.ai's first step towards its vision is CreatePrototype.ai, which allows users to describe their idea in plain English and build an app prototype in minutes. CreateApp.ai is coming soon, and users can sign up for early access. With CreateApp.ai, users can develop apps in plain English, without any tech knowledge required. CreateApp.ai takes care of everything, from app design and development to app maintenance. CreateApp.ai is the easiest way to build apps.

Viso Suite is a no-code computer vision platform that enables users to build, deploy, and scale computer vision applications. It provides a comprehensive set of tools for data collection, annotation, model training, application development, and deployment. Viso Suite is trusted by leading Fortune Global companies and has been used to develop a wide range of computer vision applications, including object detection, image classification, facial recognition, and anomaly detection.

AlphaCode is an AI-powered tool that helps businesses understand and leverage their data. It offers a range of services, including data vision, cloud, and product development. AlphaCode's AI capabilities enable it to analyze data, identify patterns, and make predictions, helping businesses make better decisions and achieve their goals.

Synthesis AI is a synthetic data platform that enables more capable and ethical computer vision AI. It provides on-demand labeled images and videos, photorealistic images, and 3D generative AI to help developers build better models faster. Synthesis AI's products include Synthesis Humans, which allows users to create detailed images and videos of digital humans with rich annotations; Synthesis Scenarios, which enables users to craft complex multi-human simulations across a variety of environments; and a range of applications for industries such as ID verification, automotive, avatar creation, virtual fashion, AI fitness, teleconferencing, visual effects, and security.

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.

InData Labs is a data science and analytics consulting firm that specializes in delivering AI-powered solutions to companies looking to leverage data and machine learning algorithms for business value. The company offers services such as AI consulting, AI software development, data science services, machine learning consulting, and customer experience consulting. InData Labs helps businesses innovate with AI, enrich customer insights, automate processes, and be more cost-efficient. The company's mission is to bring the power of AI to every business by developing new systems, solutions, and products to help clients stand out from their competition.

Namique is an AI-powered name generator that helps businesses create short, brandable, and memorable names. It utilizes an advanced AI model to generate unique and attention-grabbing names. Namique also offers custom filters to help businesses find the perfect name for their brand. Additionally, Namique provides discounts on domain purchases when a name generated by Namique is used.

Aiternus is an AI Computer Vision and Data Analysis System that is revolutionizing industries with cutting-edge technology. It offers advanced solutions for various sectors such as manufacturing, construction, logistics, healthcare, retail, sports tech, electronics, and office spaces. Aiternus leverages AI to streamline processes, boost productivity, enhance safety and quality standards, and develop tailor-made solutions for clients' unique needs. The application provides features like work process monitoring, route optimization, AI chatbot support, demand predictions, quality control, performance analysis, and automation of tasks in office spaces.

The NVIDIA Toronto AI Lab is a research laboratory focused on advancing the state-of-the-art in artificial intelligence. The lab's researchers are working on a wide range of AI topics, including deep learning, machine learning, computer vision, natural language processing, and robotics.

ThirdEye Data is a data and AI services & solutions provider that enables enterprises to improve operational efficiencies, increase production accuracies, and make informed business decisions by leveraging the latest Data & AI technologies. They offer services in data engineering, data science, generative AI, computer vision, NLP, and more. ThirdEye Data develops bespoke AI applications using the latest data science technologies to address real-world industry challenges and assists enterprises in leveraging generative AI models to develop custom applications. They also provide AI consulting services to explore potential opportunities for AI implementation. The company has a strong focus on customer success and has received positive reviews and awards for their expertise in AI, ML, and big data solutions.

The Max Planck Institute for Informatics focuses on Visual Computing and Artificial Intelligence, conducting research at the intersection of Computer Graphics, Computer Vision, and Artificial Intelligence. The institute aims to develop innovative methods to capture, represent, synthesize, and simulate real-world models with high detail, robustness, and efficiency. By combining concepts from Computer Graphics, Computer Vision, and Machine Learning, the institute lays the groundwork for advanced computing systems that can interact intelligently with humans and the environment.

WrapFast is a SwiftUI boilerplate that helps developers create AI wrappers and iOS apps quickly and easily. It provides pre-written code for common tasks such as authentication, onboarding, in-app purchases, paywalls, securing API keys, cloud database, analytics, settings, and collecting user feedback. WrapFast is designed to save developers time and effort, allowing them to focus on building their core features. It is suitable for both experienced iOS developers and beginners who are new to the platform.

This repository aims to promote global equality for individuals pursuing a PhD in NLP by providing resources and information on various aspects of the academic journey. It covers topics such as applying for a PhD, getting research opportunities, preparing for the job market, and succeeding in academia. The repository is actively updated and includes contributions from experts in the field.

COMFYUI LLM PARTY is a node library designed for LLM workflow development in ComfyUI, an extremely minimalist UI interface primarily used for AI drawing and SD model-based workflows. The project aims to provide a complete set of nodes for constructing LLM workflows, enabling users to easily integrate them into existing SD workflows. It features various functionalities such as API integration, local large model integration, RAG support, code interpreters, online queries, conditional statements, looping links for large models, persona mask attachment, and tool invocations for weather lookup, time lookup, knowledge base, code execution, web search, and single-page search. Users can rapidly develop web applications using API + Streamlit and utilize LLM as a tool node. Additionally, the project includes an omnipotent interpreter node that allows the large model to perform any task, with recommendations to use the 'show_text' node for display output.

LLMOps Duke AIPI is a course focused on operationalizing Large Language Models, teaching methodologies for developing applications using software development best practices with large language models. The course covers various topics such as generative AI concepts, setting up development environments, interacting with large language models, using local large language models, applied solutions with LLMs, extensibility using plugins and functions, retrieval augmented generation, introduction to Python web frameworks for APIs, DevOps principles, deploying machine learning APIs, LLM platforms, and final presentations. Students will learn to build, share, and present portfolios using Github, YouTube, and Linkedin, as well as develop non-linear life-long learning skills. Prerequisites include basic Linux and programming skills, with coursework available in Python or Rust. Additional resources and references are provided for further learning and exploration.

AI-in-a-Box is a curated collection of solution accelerators that can help engineers establish their AI/ML environments and solutions rapidly and with minimal friction, while maintaining the highest standards of quality and efficiency. It provides essential guidance on the responsible use of AI and LLM technologies, specific security guidance for Generative AI (GenAI) applications, and best practices for scaling OpenAI applications within Azure. The available accelerators include: Azure ML Operationalization in-a-box, Edge AI in-a-box, Doc Intelligence in-a-box, Image and Video Analysis in-a-box, Cognitive Services Landing Zone in-a-box, Semantic Kernel Bot in-a-box, NLP to SQL in-a-box, Assistants API in-a-box, and Assistants API Bot in-a-box.

The 'Awesome AI Guidelines' repository aims to simplify the ecosystem of guidelines, principles, codes of ethics, standards, and regulations around artificial intelligence. It provides a comprehensive collection of resources addressing ethical and societal challenges in AI systems, including high-level frameworks, principles, processes, checklists, interactive tools, industry standards initiatives, online courses, research, and industry newsletters, as well as regulations and policies from various countries. The repository serves as a valuable reference for individuals and teams designing, building, and operating AI systems to navigate the complex landscape of AI ethics and governance.

Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words，Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)

OpenAdapt is an open-source software adapter between Large Multimodal Models (LMMs) and traditional desktop and web Graphical User Interfaces (GUIs). It aims to automate repetitive GUI workflows by leveraging the power of LMMs. OpenAdapt records user input and screenshots, converts them into tokenized format, and generates synthetic input via transformer model completions. It also analyzes recordings to generate task trees and replay synthetic input to complete tasks. OpenAdapt is model agnostic and generates prompts automatically by learning from human demonstration, ensuring that agents are grounded in existing processes and mitigating hallucinations. It works with all types of desktop GUIs, including virtualized and web, and is open source under the MIT license.

ChatGPT is a large language model that can generate human-like text, translate languages, write different kinds of creative content, and answer your questions in a conversational way. It is trained on a massive amount of text data, and it is able to understand and respond to a wide range of natural language prompts. Here are 5 jobs suitable for this tool, in lowercase letters: 1. content writer 2. chatbot assistant 3. language translator 4. creative writer 5. researcher

This repository provides a curated list of papers, datasets, and resources related to the detection and mitigation of hallucinations in large language models (LLMs). Hallucinations refer to the generation of factually incorrect or nonsensical text by LLMs, which can be a significant challenge for their use in real-world applications. The resources in this repository aim to help researchers and practitioners better understand and address this issue.

KanTV is an open-source project that focuses on studying and practicing state-of-the-art AI technology in real applications and scenarios, such as online TV playback, transcription, translation, and video/audio recording. It is derived from the original ijkplayer project and includes many enhancements and new features, including: * Watching online TV and local media using a customized FFmpeg 6.1. * Recording online TV to automatically generate videos. * Studying ASR (Automatic Speech Recognition) using whisper.cpp. * Studying LLM (Large Language Model) using llama.cpp. * Studying SD (Text to Image by Stable Diffusion) using stablediffusion.cpp. * Generating real-time English subtitles for English online TV using whisper.cpp. * Running/experiencing LLM on Xiaomi 14 using llama.cpp. * Setting up a customized playlist and using the software to watch the content for R&D activity. * Refactoring the UI to be closer to a real commercial Android application (currently only supports English). Some goals of this project are: * To provide a well-maintained "workbench" for ASR researchers interested in practicing state-of-the-art AI technology in real scenarios on mobile devices (currently focusing on Android). * To provide a well-maintained "workbench" for LLM researchers interested in practicing state-of-the-art AI technology in real scenarios on mobile devices (currently focusing on Android). * To create an Android "turn-key project" for AI experts/researchers (who may not be familiar with regular Android software development) to focus on device-side AI R&D activity, where part of the AI R&D activity (algorithm improvement, model training, model generation, algorithm validation, model validation, performance benchmark, etc.) can be done very easily using Android Studio IDE and a powerful Android phone.

Supervisely is a computer vision platform that provides a range of tools and services for developing and deploying computer vision solutions. It includes a data labeling platform, a model training platform, and a marketplace for computer vision apps. Supervisely is used by a variety of organizations, including Fortune 500 companies, research institutions, and government agencies.

A vision-based business coach specializing in plan creation and strategy refinement.

A creative mentor for shaping organizational visions.

A coach to assist community visioning processes.

Elara and team, guided by the vision of Bob, develop advanced GPT models.

Crafts company visions and imagery.

Let me help you create a vision for the future business of your dreams.

Friendly and professional guide for street sign app development.

AI Hardware Engineer

Autonomous Driving Dev Assistant

Leading AI & Media Expert: In-depth, Ethical, Insightful, developed on OpenAI

Experto en análisis de imágenes y estructuración de datos

Strateg kampanii wyborczej na burmistrza, z naciskiem na media społecznościowe i nowe wizje rozwoju miasta.

Creating text-free, visually striking F1 car designs.

Insights on AI in healthcare and wellness

Supportive and engaging AI Ethics tutor, providing practical tips and career guidance.

Creates vivid illustrations based on Cixin Liu's sci-fi trilogy

你可以问我关于中国商业综合体开发及运营的一切事宜

Develop your own game engine

I develop ideas into concepts and plan projects.

Develop a video strategy, concept & storyboard