Widya Robotics is an AI, Automation, and Robotics solutions provider that offers a range of innovative products and solutions for various industries such as construction, manufacturing, retail, and traffic and transportation. The company specializes in technologies like LiDAR for load scanning, gas monitoring, and AI-driven solutions to enhance efficiency, safety, and profitability for businesses. Widya Robotics has received recognition for its cutting-edge technology and commitment to helping companies achieve their financial and branding goals.

Luminar is a leading developer of automotive lidar technology. The company's mission is to make roads safer by eliminating vehicle accidents. Luminar's lidar sensors provide cars with a detailed view of their surroundings, enabling them to make better decisions and avoid collisions. Luminar's technology is being used by a number of automakers, including Volvo, SAIC Motor, and Polestar.

AEye is a leading provider of software-defined lidar solutions for autonomous applications. Our 4Sight Intelligent Sensing Platform provides accurate, reliable, and real-time perception data to enable safer and more efficient navigation. AEye's lidar products are designed to meet the unique requirements of automotive, trucking, and smart infrastructure applications.

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.

Orbbec is a leading provider of 3D vision technology, offering a wide range of 3D cameras and sensors for various applications. With a focus on AI, optics, and advanced algorithms, Orbbec empowers developers and enterprises to create immersive experiences, precise measurements, and advanced visualizations. Their products include stereo vision cameras, ToF cameras, structured light cameras, camera computers, and lidar sensors, catering to industries such as manufacturing, healthcare, robotics, fitness, logistics, and retail.

Outsight is an AI application that utilizes LiDAR technology to provide end-to-end passenger journey tracking, enhance airport operations, improve security solutions, and transform various industries. The application offers high-accuracy, all-weather monitoring, reduces false alarms, and enhances perimeter and access control. Outsight collaborates with industry leaders to deliver unprecedented solutions in the field of Spatial AI, making spaces truly smart and revolutionizing the way we perceive reality.

Qlone is a user-friendly 3D scanning app that allows users to easily create 3D models using their smartphone or tablet. The app offers seamless integration with leading 3D platforms for printing, sharing, and selling models. Users can create AR menus, scan various objects like food, people, and art, and engage in educational activities. Qlone is developed by EyeCue Vision Technologies LTD and is designed to provide a simple and efficient 3D scanning experience.

AEye is a company that provides software-defined lidar solutions for autonomous applications in the automotive, trucking, and smart infrastructure industries. Their 4Sight Intelligent Sensing Platform uses software-definable lidar to enhance perception, enabling early detection and supporting autonomy. AEye's lidar products are designed to provide high resolution with long-range accuracy, and they can be adapted to any application or use case in real time. The company has forged strategic partnerships with best-in-class companies around the world to expand its global capabilities and meet the growing demands for its products.

The website offers a cross-platform 3D scanning tool for floor plans and drone mapping. It allows users to capture and collaborate in new ways, providing reality capture for professionals to document, measure, and design various spaces. Users can create instantly shareable 3D models, generate customizable 2D floor plans, capture drone footage for 3D models, and document detailed metrics for site surveys, construction sites, products, and more. The tool is suitable for teams in architecture, engineering, construction, forensics, investigation, product design, manufacturing, media, and entertainment industries.

Masraff is a leading expense management platform in Turkey that helps businesses automate and digitize their expense processes using artificial intelligence. With Masraff, companies can gain efficiency in their expense processes, control expenses with real-time reports, and ensure compliance with company expense policies. Key features of Masraff include automatic and fast expense entry, real-time management reports, mobile approval flow, compliance with expense policies and audits, and ERP and accounting integrations.

IA Hispano is a platform that provides tools and resources for creating music. It offers a variety of features, including a music editor, a sound library, and a community forum. IA Hispano is designed to be easy to use, even for beginners, and it provides a great way to learn about music production.

Expandir Imagen con IA is an online platform that leverages advanced artificial intelligence technology to expand and extend images in any direction while maintaining perfect visual quality. The tool revolutionizes image composition with cutting-edge algorithms that ensure natural and visually consistent expansions. Users can effortlessly create perfectly composed images without the need for complex editing skills. With a user-friendly interface and a free trial, Expandir Imagen con IA offers a glimpse into the future of image manipulation.

geoai is a Python package designed for utilizing Artificial Intelligence (AI) in the context of geospatial data. It allows users to visualize various types of geospatial data such as vector, raster, and LiDAR data. Additionally, the package offers functionalities for segmenting remote sensing imagery using the Segment Anything Model and classifying remote sensing imagery with deep learning models. With a focus on geospatial AI applications, geoai provides a versatile tool for processing and analyzing spatial data with the power of AI.

At ZenML, we believe in the importance of annotation and labeling workflows in the machine learning lifecycle. This repository showcases a curated list of open-source data annotation and labeling tools that are actively maintained and fit for purpose. The tools cover various domains such as multi-modal, text, images, audio, video, time series, and other data types. Users can contribute to the list and discover tools for tasks like named entity recognition, data annotation for machine learning, image and video annotation, text classification, sequence labeling, object detection, and more. The repository aims to help users enhance their data-centric workflows by leveraging these tools.

This repository contains the official code for the paper 'Automated forest inventory: analysis of high-density airborne LiDAR point clouds with 3D deep learning'. It provides tools for point cloud segmentation experiments based on different settings, tree parameters extraction, handling large point clouds through tiling, predicting, and merging workflows. Additionally, it includes commands for training, testing, and evaluating the models, along with the necessary datasets and pretrained models.

The Microsoft AI for Earth program hosts geospatial data on Azure that is important to environmental sustainability and Earth science. This repo hosts documentation and demonstration notebooks for all the data that is managed by AI for Earth. It also serves as a "staging ground" for the Planetary Computer Data Catalog.

hongbomiao.com is a personal research and development (R&D) lab that facilitates the sharing of knowledge. The repository covers a wide range of topics including web development, mobile development, desktop applications, API servers, cloud native technologies, data processing, machine learning, computer vision, embedded systems, simulation, database management, data cleaning, data orchestration, testing, ops, authentication, authorization, security, system tools, reverse engineering, Ethereum, hardware, network, guidelines, design, bots, and more. It provides detailed information on various tools, frameworks, libraries, and platforms used in these domains.

This repository is a curated list of awesome public object detection and recognition datasets. It includes a wide range of datasets related to object detection and recognition tasks, such as general detection and recognition datasets, autonomous driving datasets, adverse weather datasets, person detection datasets, anti-UAV datasets, optical aerial imagery datasets, low-light image datasets, infrared image datasets, SAR image datasets, multispectral image datasets, 3D object detection datasets, vehicle-to-everything field datasets, super-resolution field datasets, and face detection and recognition datasets. The repository also provides information on tools for data annotation, data augmentation, and data management related to object detection tasks.

LLM4DB is a repository focused on the intersection of Large Language Models (LLMs) and Database technologies. It covers various aspects such as data processing, data analysis, database optimization, and data management for LLMs. The repository includes research papers, tools, and techniques related to leveraging LLMs for tasks like data cleaning, entity matching, schema matching, data discovery, NL2SQL, data exploration, data visualization, knob tuning, query optimization, and database diagnosis.

LLM4DB is a repository focused on the intersection of Large Language Models (LLM) and Database technologies. It covers various aspects such as data processing, data analysis, database optimization, and data management for LLM. The repository includes works on data cleaning, entity matching, schema matching, data discovery, NL2SQL, data exploration, data visualization, configuration tuning, query optimization, and anomaly diagnosis using LLMs. It aims to provide insights and advancements in leveraging LLMs for improving data processing, analysis, and database management tasks.

SurveyX is an advanced academic survey automation system that leverages Large Language Models (LLMs) to generate high-quality, domain-specific academic papers and surveys. Users can request comprehensive academic papers or surveys tailored to specific topics by providing a paper title and keywords for literature retrieval. The system streamlines academic research by automating paper creation, saving users time and effort in compiling research content.

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.

This repository is a curated list of papers related to World Models for General Video Generation, Embodied AI, and Autonomous Driving. It includes foundation papers, blog posts, technical reports, surveys, benchmarks, and specific world models for different applications. The repository serves as a valuable resource for researchers and practitioners interested in world models and their applications in robotics and AI.

MisguidedAttention is a collection of prompts designed to challenge the reasoning abilities of large language models by presenting them with modified versions of well-known thought experiments, riddles, and paradoxes. The goal is to assess the logical deduction capabilities of these models and observe any shortcomings or fallacies in their responses. The repository includes a variety of prompts that test different aspects of reasoning, such as decision-making, probability assessment, and problem-solving. By analyzing how language models handle these challenges, researchers can gain insights into their reasoning processes and potential biases.

This repository contains a collection of papers and code for the CVPR 2024 conference. The papers cover a wide range of topics in computer vision, including object detection, image segmentation, image generation, and video analysis. The code provides implementations of the algorithms described in the papers, making it easy for researchers and practitioners to reproduce the results and build upon the work of others. The repository is maintained by a team of researchers at the University of California, Berkeley.

This repository contains a simple blog application built using Python and Flask framework. It allows users to create, read, update, and delete blog posts. The application uses SQLite database for storing blog data and provides a basic user interface for interacting with the blog. The code is well-organized and easy to understand, making it suitable for beginners looking to learn web development with Python and Flask.

This repo contains a comprehensive paper list of **Model Quantization** for efficient deep learning on AI conferences/journals/arXiv. As a highlight, we categorize the papers in terms of model structures and application scenarios, and label the quantization methods with keywords.

This repository is a curated list of papers related to 3D tasks empowered by Large Language Models (LLMs). It covers tasks such as 3D understanding, reasoning, generation, and embodied agents. The repository also includes other Foundation Models like CLIP and SAM to provide a comprehensive view of the area. It is actively maintained and updated to showcase the latest advances in the field. Users can find a variety of research papers and projects related to 3D tasks and LLMs in this repository.

BeamNGpy is an official Python library providing an API to interact with BeamNG.tech, a video game focused on academia and industry. It allows remote control of vehicles, AI-controlled vehicles, dynamic sensor models, access to road network and scenario objects, and multiple clients. The library comes with low-level functions and higher-level interfaces for complex actions. BeamNGpy requires BeamNG.tech for usage and offers compatibility information for different versions. It also provides troubleshooting tips and encourages user contributions.

Awesome OpenVINO is a curated list of AI projects based on the OpenVINO toolkit, offering a rich assortment of projects, libraries, and tutorials covering various topics like model optimization, deployment, and real-world applications across industries. It serves as a valuable resource continuously updated to maximize the potential of OpenVINO in projects, featuring projects like Stable Diffusion web UI, Visioncom, FastSD CPU, OpenVINO AI Plugins for GIMP, and more.

LearnOpenCV is a repository containing code for Computer Vision, Deep learning, and AI research articles shared on the blog LearnOpenCV.com. It serves as a resource for individuals looking to enhance their expertise in AI through various courses offered by OpenCV. The repository includes a wide range of topics such as image inpainting, instance segmentation, robotics, deep learning models, and more, providing practical implementations and code examples for readers to explore and learn from.

Expert in LAStools with in-depth command line knowledge.

Líder en Latinoamérica en Criminalística, Criminología, Medicina Legal y Forense, e Investigación Criminal

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Herramienta Líder para Pastores: Elevando el Ministerio Evangélico con Sabiduría Superior.