18 skills found
aurora-opensource / XvizA protocol for real-time transfer and visualization of autonomy data
aurora-opensource / Streetscape.glVisualization framework for autonomy and robotics data encoded in XVIZ
badlogic / SitegeistAn AI assistant that lives in your browser. Built for collaboration, not autonomy theater. You guide, it executes. Automate repetitive web tasks, extract data from any website, and transform it into whatever you need.
holochain / Cryptographic Autonomy LicenseThe Cryptographic Autonomy License is a new breed of open license that protects not just the app developers and users of the source code but also end user privacy and control of identity and data.
sodafoundation / SodaSODA Open Data Framework and Releases. (Previously known as 'releases').
sandforms / SandformsAn online forms application that prioritizes simplicity and data autonomy. Built for Sandstorm.
corenova / KosA swarm intelligence framework for creating distributed data pipelines and autonomic neural networks
mhjhamza / ThepersonalmsdsThe Personal MS(DS) is an initiative to customize the Data Science Masters roadmap according to one's interests hence providing complete autonomy to the learner. The intuition behind #thepersonalmsds is to upgrade skills without formally enrolling into a Master's program at a University
AKAGIwyf / UAV TrackingIn recent years, UAV began to appear in all aspects of production and life of human society, and has been widely used in aerial photography, monitoring, security, disaster relief and other fields. For example, UAV tracking can be used for urban security, automatic cruise to find suspects and assist in intelligent urban security management.However, the practical application of UAV in various early scenes was mostly based on human remote control or intervention, and the degree of automation was not high. The degree to which UAVs can be automated is one of the decisive factors in whether they can play a bigger role in the future. With the increasing demand of UAV automation, target tracking based on computer vision has become one of the current research hotspots. Some companies in China and abroad, such as DJI, have successfully equipped target tracking on UAVs, but these technologies only exist in papers and descriptions, and the specific implementation has not been sorted out and opened source. Therefore, we plan to try to complete this project by ourselves and open source it on Github. Traditional visual tracking has many advantages, such as strong autonomy, wide measurement range and access to a large amount of environmental information, it also has many disadvantages.It requires a powerful hardware system. In order to obtain accurate navigation information, it needs to be equipped with a high-resolution camera and a powerful processor. From image data acquisition to processing, huge data operations are involved, which undoubtedly increases the cost of UAV tracking. Moreover, the reliability of traditional visual navigation and tracking is poor, and it is difficult for UAV to work in complex lighting and obstacle scenes. Therefore, we plan to use deep learning for target tracking in this project. We can train our own model through deep learning algorithm (we have not decided what network structure to use), then move the trained model to the embedded development board for operation, fix it on the UAV, read the image through the camera and process the data, so that it can recognize the objects to be recognized and tracked. In this project, we will use NVIDIA Jetson TX2 development board, install ROS in Linux system, establish communication with pixhawk, and conduct UAV flight control through PID algorithm.
cypherflow / Cypherflow AICypherFlow.ai is a cutting-edge Open Source platform providing private, AI conversations powered by Bitcoin micropayments. Experience uncensored AI access with true data ownership and financial autonomy.
SantoshPenugurthi / AI Integrated Blockchain For Autonomous VehiclesThe Decentralized Autonomous Vehicles project connects self-driving vehicles on a blockchain network, enabling secure real-time decision-making. It leverages decentralized nature, incident data sharing, and Vehicular IoT/VANET technology to enhance vehicle autonomy and ensure data security and privacy.
ostadabbas / Temporal Controlled Frame Swap GTAV TeFS Temporal-controlled Frame Swap for Generating High-Fidelity Stereo Driving Data for Autonomy Analysis (BMVC2023)
autonomys / Auto SDKA powerful toolkit to integrate with the Autonomys Network using TypeScript, simplifying consensus interaction, and data uploads.
ricardol8a / DroneSimulatorApplication to simulate the execution of trajectories in aerial drones. Designed and developed to be multiplatform (GNU / Linux, Mac OS X and Windows), fully programmed in C ++ language with a graphic interface in OpenGL. It incorporates complete mathematical models of the drone in the simulation, where the input variables are the speeds of the motors and the output variables are the state of position and orientation of the drone. The control of the position and orientation can be executed with PID and / or fuzzy controllers, in addition to including different saturations to ensure the precise values of the variables. It contains a compilation of several trajectories for the tests, and different disturbances of wind and noise in the sensors to resemble a real behavior. The drone model data is based on the AR.Drone 2.0 device from Parrot. The application allows a real implementation with this robotic platform. The communication uses the ROS libraries in conjunction with the 'ardrone_autonomy' package. The estimation of position and orientation is obtained by mixing the odometry of the 'ardrone_autonomy' package with an external reference provided by the 'ar_track_alvar' package from the main camera.
RutujaaP / Evaluation Of Boosting Algorithms For P300 Detection In EEG SignalsBrain-Computer Interfaces have impacted the lives of many, especially those whose mobility and ability to speak are affected. It is able to do so by bridging the gap between thoughts and devices. One of its most popular applications, the P300 Speller, is a powerful aid that allows the patients to regain a certain level of autonomy. Detection of a P300 peak and character identification are the two major components of a P300 speller. In this study, the first component of P300 speller is covered. Various conventional learning algorithms like Support Vector Machine, Discriminant Analysis, Neural Network and their variants have been used in previous studies. These methods have limitations: some are prone to overfitting; others require a large amount of training data, while there are some limitations that necessitate complicated computing thus making them less favorable for real-time analysis. Boosting algorithms are very less explored in the field of Electroencephalography (EEG) and less prone to most of the limitations of these conventional models. This paper evaluates the performances of LightGBM and CatBoost on the dataset used in the competition BCI NER 2015 on Kaggle. These algorithms have recently gained popularity and have proven to be powerful. Further, they are compared with the performances of XGBoost and AdaBoost and a maximum 1 Score of 0.84 was achieved using LightGBM as a classifier.
ByMykel / Spanish CitiesA library that provides data on Spain's autonomies, provinces, and cities, including their codes, names, flags, and coats of arms for seamless integration into your applications.
LoganRossUS / OpenGSLBOpenGSLB is an open-source, self-hosted GSLB system for intelligent traffic distribution across multiple data centers and cloud regions. It delivers enterprise-grade global load balancing with complete infrastructure control, eliminating vendor lock-in and third-party dependencies for organizations requiring autonomy.
EshbanTheLearner / ThepersonalMSDS V2The Personal MS(DS) is an initiative to customize the Data Science Masters roadmap according to one's interests hence providing complete autonomy to the learner. The intuition behind #thepersonalmsds is to upgrade skills without formally enrolling into a Master's program at a University
