Best AI tools for< Run Detection App >

Luxonis is a platform that offers robotic vision solutions through high-resolution cameras with depth vision and on-chip machine learning capabilities. Their products include OAK Cameras and Modules, providing features like Stereo Depth Sensing, Computer Vision, Artificial Intelligence, and Cloud Management. Luxonis enables the development of computer vision products and companies by offering performant and affordable hardware solutions. The platform caters to enterprises and hobbyists, empowering them to easily build embedded vision systems.

Radicalbit is an MLOps and AI Observability platform that helps businesses deploy, serve, observe, and explain their AI models. It provides a range of features to help data teams maintain full control over the entire data lifecycle, including real-time data exploration, outlier and drift detection, and model monitoring in production. Radicalbit can be seamlessly integrated into any ML stack, whether SaaS or on-prem, and can be used to run AI applications in minutes.

Fifi.ai is a managed AI cloud platform that provides users with the infrastructure and tools to deploy and run AI models. The platform is designed to be easy to use, with a focus on plug-and-play functionality. Fifi.ai also offers a range of customization and fine-tuning options, allowing users to tailor the platform to their specific needs. The platform is supported by a team of experts who can provide assistance with onboarding, API integration, and troubleshooting.

NeuProScan is an AI platform designed for the early detection of pre-clinical Alzheimer's from MRI scans. It utilizes AI technology to predict the likelihood of developing Alzheimer's years in advance, helping doctors improve diagnosis accuracy and optimize the use of costly PET scans. The platform is fully customizable, user-friendly, and can be run on devices or in the cloud. NeuProScan aims to provide patients and healthcare systems with valuable insights for better planning and decision-making.

Raay is an AI-powered forms and surveys platform that helps users create, share, run, and analyze data. It offers a range of features including highly integrable forms, bias detection, and meaningful insights. Raay's affordable pricing plans make it accessible to users of all levels.

SwiftWriter is an AI-powered content creation tool that helps users generate unique articles by scraping competitor news, Google articles, and rewriting them with a single click. It offers a plagiarism-free solution with AI-detection capabilities, allowing users to never run out of ideas. The tool enables users to input competitors' websites and keywords related to their topic to pull in endless ideas, which can be easily rewritten with a few simple steps. SwiftWriter provides multi-language flexibility, allowing users to scrape in one language and output in another, making it easy to generate articles in the language that best suits their audience.

Kropply is an AI-powered debugging tool that helps developers fix logic, package, and unit-level bugs in their codebase once they run the code. It integrates with VSCode to provide real-time insights and error correction, streamlining the debugging process and making coding more efficient.

The Run Recommender is a web-based tool that helps runners find the perfect pair of running shoes. It uses a smart algorithm to suggest options based on your input, giving you a starting point in your search for the perfect pair. The Run Recommender is designed to be user-friendly and easy to use. Simply input your shoe width, age, weight, and other details, and the Run Recommender will generate a list of potential shoes that might suit your running style and body. You can also provide information about your running experience, distance, and frequency, and the Run Recommender will use this information to further refine its suggestions. Once you have a list of potential shoes, you can click on each shoe to learn more about it, including its features, benefits, and price. You can also search for the shoe on Amazon to find the best deals.

Dora is a no-code 3D animated website design platform that allows users to create stunning 3D and animated visuals without writing a single line of code. With Dora, designers, freelancers, and creative professionals can focus on what they do best: designing. The platform is tailored for professionals who prioritize design aesthetics without wanting to dive deep into the backend. Dora offers a variety of features, including a drag-and-connect constraint layout system, advanced animation capabilities, and pixel-perfect usability. With Dora, users can create responsive 3D and animated websites that translate seamlessly across devices.

Learn Playwright is a comprehensive platform offering resources for learning end-to-end testing using the Playwright automation framework. It provides a blog with in-depth subjects about end-to-end testing, an 'Ask AI' feature for querying ChatGPT about Playwright, and a Dev Tools section that serves as an all-in-one toolbox for QA engineers. Additionally, users can explore QA job opportunities, access answered questions about Playwright, browse a Discord forum archive, watch tutorials and conference talks, utilize a browser extension for generating Playwright locators, and refer to a QA Wiki for definitions of common end-to-end testing terms.

Symphony is an AI-powered programming tool that allows users to write programs using natural language. It simplifies the coding process by enabling users to interact with the tool through spoken language, making it easier for both beginners and experienced programmers to create code. Symphony leverages advanced natural language processing algorithms to understand and interpret user commands, translating them into executable code. With Symphony, users can seamlessly communicate their programming ideas without the need to write complex code syntax, enhancing productivity and efficiency in software development.

aify is an AI-native application framework and runtime that allows users to build AI-native applications quickly and easily. With aify, users can create applications by simply writing a YAML file. The platform also offers a ready-to-use AI chatbot UI for seamless integration. Additionally, aify provides features such as Emoji express for searching emojis by semantics. The framework is open source under the MIT license, making it accessible to developers of all levels.

Lumora is an AI tool designed to help users efficiently manage, optimize, and test prompts for various AI platforms. It offers features such as prompt organization, enhancement, testing, and development. Lumora aims to improve prompt outcomes and streamline prompt management for teams, providing a user-friendly interface and a playground for experimentation. The tool also integrates with various AI models for text, image, and video generation, allowing users to optimize prompts for better results.

Dora is an AI-powered platform that enables users to create 3D animated websites without the need for coding. It caters to designers, freelancers, and creative professionals who seek to design visually captivating websites effortlessly. With Dora, users can craft mesmerizing 3D and animated visuals that are responsive and seamlessly translate across devices. The platform is designed for professionals who prioritize design aesthetics and offers a no-code experience for those transitioning from other design tools. Dora leverages advanced AI algorithms to generate, customize, and deploy stunning landing pages, revolutionizing the web design process.

Magnet is an AI coding assistant that helps product teams fix issues, share AI threads, and organize projects. It integrates with Linear, GitHub, and Notion, and provides auto-suggested files and code files for personalized and accurate AI recommendations. Magnet also offers prompt templates to help users get started and suggests quick fixes for bugs or enhancements.

Devath is the world's first AI-powered SmartHome platform that revolutionizes the way users interact with their smart devices. It eliminates the need for writing extensive lines of code by allowing users to simply give instructions to the AI for seamless device control. With features like splash resistance and responsive design, Devath offers a user-friendly experience for managing smart home functionalities. The platform also enables developers to preview and test their apps before submission, providing a 99% faster publishing process. Devath is continuously evolving with user feedback and aims to enhance the SmartHome experience through AI copilots and customizable features. With Devath, users can control their devices from the web and enjoy free unlimited access to the AI era of SmartHome.

One-Commerce is an AI-powered application designed to streamline the e-commerce listing process. It utilizes gemini technology to automatically generate detailed product descriptions, specifications, and SEO keywords from a single image. With its innovative approach, One-Commerce aims to simplify and enhance the online selling experience for e-commerce businesses.

Replicate is an AI tool that allows users to run and fine-tune open-source models, deploy custom models at scale, and generate various types of content such as images, text, music, and speech with just one line of code. It offers a platform where users can access a wide range of AI models contributed by the community, fine-tune models with their own data, and deploy custom models using Cog, an open-source tool for packaging machine learning models.

Sessions is a cloud-based video conferencing and webinar platform that offers a range of features to help businesses run successful online meetings and events. With Sessions, users can create interactive agendas, share screens, record meetings, and host webinars with up to 1000 participants. Sessions also integrates with a variety of third-party tools, including Google Drive, Dropbox, and Slack, making it easy to collaborate with colleagues and share files. Additionally, Sessions offers a number of AI-powered features, such as automatic transcription and translation, to help users get the most out of their meetings.

CALA is a leading fashion platform that unifies design, development, production, and logistics into a single, digital platform. It provides tools and support to automate and optimize the supply chain from start to finish. CALA also offers a network of designers and suppliers, as well as AI-powered design tools to help generate moodboards, fresh ideas, and more.

Hailo TAPPAS is a set of full application examples that implement pipeline elements and pre-trained AI tasks. It demonstrates Hailo's system integration scenarios on predefined systems, aiming to accelerate time to market, simplify integration with Hailo's runtime SW stack, and provide a starting point for customers to fine-tune their applications. The tool supports both Hailo-15 and Hailo-8, offering various example applications optimized for different common hosts. TAPPAS includes pipelines for single network, two network, and multi-stream processing, as well as high-resolution processing via tiling. It also provides example use case pipelines like License Plate Recognition and Multi-Person Multi-Camera Tracking. The tool is regularly updated with new features, bug fixes, and platform support.

AirLine is a learnable edge-based line detection algorithm designed for various robotic tasks such as scene recognition, 3D reconstruction, and SLAM. It offers a novel approach to extracting line segments directly from edges, enhancing generalization ability for unseen environments. The algorithm balances efficiency and accuracy through a region-grow algorithm and local edge voting scheme for line parameterization. AirLine demonstrates state-of-the-art precision with significant runtime acceleration compared to other learning-based methods, making it ideal for low-power robots.

The Deep Java Library (DJL) is a framework-agnostic Java API for deep learning. It provides a unified interface to popular deep learning frameworks such as TensorFlow, PyTorch, and MXNet. DJL makes it easy to develop deep learning applications in Java, and it can be used for a variety of tasks, including image classification, object detection, natural language processing, and speech recognition.

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.

AI-powered 3D Face Detection & Rotation Tracking, Face Description & Recognition, Body Pose Tracking, 3D Hand & Finger Tracking, Iris Analysis, Age & Gender & Emotion Prediction, Gaze Tracking, Gesture Recognition, Body Segmentation

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)

The Ultralytics YOLO iOS App GitHub repository offers an advanced object detection tool leveraging YOLOv8 models for iOS devices. Users can transform their devices into intelligent detection tools to explore the world in a new and exciting way. The app provides real-time detection capabilities with multiple AI models to choose from, ranging from 'nano' to 'x-large'. Contributors are welcome to participate in this open-source project, and licensing options include AGPL-3.0 for open-source use and an Enterprise License for commercial integration. Users can easily set up the app by following the provided steps, including cloning the repository, adding YOLOv8 models, and running the app on their iOS devices.

xGitGuard is an AI-based system developed by Comcast Cybersecurity Research and Development team to detect secrets (e.g., API tokens, usernames, passwords) exposed on GitHub repositories. It uses advanced Natural Language Processing to detect secrets at scale and with appropriate velocity. The tool provides workflows for detecting credentials and keys/tokens in both enterprise and public GitHub accounts. Users can set up search patterns, configure API access, run detections with or without ML filters, and train ML models for improved detection accuracy. xGitGuard also supports custom keyword scans for targeted organizations or repositories. The tool is licensed under Apache 2.0.

Construction-Hazard-Detection is an AI-driven tool focused on improving safety at construction sites by utilizing the YOLOv8 model for object detection. The system identifies potential hazards like overhead heavy loads and steel pipes, providing real-time analysis and warnings. Users can configure the system via a YAML file and run it using Docker. The primary dataset used for training is the Construction Site Safety Image Dataset enriched with additional annotations. The system logs are accessible within the Docker container for debugging, and notifications are sent through the LINE messaging API when hazards are detected.

Okay, here is a JSON object with the requested information about the awesome-cuda-tensorrt-fpga repository:

NeMo Guardrails is an open-source toolkit for easily adding _programmable guardrails_ to LLM-based conversational applications. Guardrails (or "rails" for short) are specific ways of controlling the output of a large language model, such as not talking about politics, responding in a particular way to specific user requests, following a predefined dialog path, using a particular language style, extracting structured data, and more.

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.

ztachip is a RISCV accelerator designed for vision and AI edge applications, offering up to 20-50x acceleration compared to non-accelerated RISCV implementations. It features an innovative tensor processor hardware to accelerate various vision tasks and TensorFlow AI models. ztachip introduces a new tensor programming paradigm for massive processing/data parallelism. The repository includes technical documentation, code structure, build procedures, and reference design examples for running vision/AI applications on FPGA devices. Users can build ztachip as a standalone executable or a micropython port, and run various AI/vision applications like image classification, object detection, edge detection, motion detection, and multi-tasking on supported hardware.

The LandingLens Python library contains the LandingLens development library and examples that show how to integrate your app with LandingLens in a variety of scenarios. The library allows users to acquire images from different sources, run inference on computer vision models deployed in LandingLens, and provides examples in Jupyter Notebooks and Python apps for various tasks such as object detection, home automation, satellite image analysis, license plate detection, and streaming video analysis.

The Synthetic-Voice-Detection-Vocoder-Artifacts repository provides the LibriSeVoc dataset containing self-vocoding samples created with six state-of-the-art vocoders to expose and exploit vocoder artifacts. It also introduces a new approach for detecting synthetic human voices by identifying signal artifacts left by neural vocoders and enhancing the RawNet2 baseline. The repository includes a paper and dataset for further reference and offers instructions for training the model and testing it in the wild.

This repository implements a speech-to-speech cascaded pipeline with consecutive parts including Voice Activity Detection (VAD), Speech to Text (STT), Language Model (LM), and Text to Speech (TTS). It aims to provide a fully open and modular approach by leveraging models available on the Transformers library via the Hugging Face hub. The code is designed for easy modification, with each component implemented as a class. Users can run the pipeline either on a server/client approach or locally, with detailed setup and usage instructions provided in the readme.

Mobius is an AI infra platform including realtime computing and training. It is built on Ray, a distributed computing framework, and provides a number of features that make it well-suited for online machine learning tasks. These features include: * **Cross Language**: Mobius can run in multiple languages (only Python and Java are supported currently) with high efficiency. You can implement your operator in different languages and run them in one job. * **Single Node Failover**: Mobius has a special failover mechanism that only needs to rollback the failed node itself, in most cases, to recover the job. This is a huge benefit if your job is sensitive about failure recovery time. * **AutoScaling**: Mobius can generate a new graph with different configurations in runtime without stopping the job. * **Fusion Training**: Mobius can combine TensorFlow/Pytorch and streaming, then building an e2e online machine learning pipeline. Mobius is still under development, but it has already been used to power a number of real-world applications, including: * A real-time recommendation system for a major e-commerce company * A fraud detection system for a large financial institution * A personalized news feed for a major news organization If you are interested in using Mobius for your own online machine learning projects, you can find more information in the documentation.

run the embedded code

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A community-building GPT based on the wildly popular Community Design™ framework from Mighty Networks. Start creating communities that run themselves.

Friendly web assistant for efficient code. Ask the wizard to create an application and you will get the HTML, CSS and Javascript code ready to run your web application.

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I'm your brainstorm muse in marketing and advertising; the creativity machine you need to sharpen the skills, land the job, generate the ideas, win the pitches, build the brands, ace the awards, or even run your own agency. Psst... don't let your clients find out about me! 😉

Provides running splits for Strava Routes, accounting for distance and elevation changes

Design your perfect race calendar and training plans for your next race.

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Giveaway bot for managing and drawing giveaway winners

「走れメロス」のメロスになりきって回答します。

A helpful coach for guiding teams through Design Sprints with a touch of sass.