Sökning: "github"

Visar resultat 21 - 25 av 157 uppsatser innehållade ordet github.

  1. 21. Link Prediction Using Learnable Topology Augmentation

    Master-uppsats, KTH/Matematik (Avd.)

    Författare :Tori Leatherman; [2023]
    Nyckelord :Network Analysis; Inductive Link Prediction; Learnable Augmentation; Graph Neural Networks; Multilayer Perceptrons; Nätverksanalys; Induktiv Länkförutsägelse; Inlärningsbar Förstärkning; Grafiska Neurala Nätverk; Flerskiktsperceptroner;

    Sammanfattning : Link prediction is a crucial task in many downstream applications of graph machine learning. Graph Neural Networks (GNNs) are a prominent approach for transductive link prediction, where the aim is to predict missing links or connections only within the existing nodes of a given graph. LÄS MER

  3. 22. Continuous Verification of Automotive Software

    Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

    Författare :Marcus Mörtstrand; [2023]
    Nyckelord :;

    Sammanfattning : As a result of the increased complexity of today’s automotive systems a model-based methodology called MoVES have been introduced for the development and architectural exploration of these systems. In this thesis to further decrease development time we propose to introduce a CI/CD pipeline to the MoVES methodology to automate already existing analyzing tools, such as Rubus ICE and a trace-based timing analysis tool. LÄS MER

  4. 23. A comparative assessment of improvements in workflow automation : An analysis based on GitHub Actions in opensource projects

    Kandidat-uppsats, Jönköping University/JTH, Avdelningen för datavetenskap

    Författare :Mattias Spångberg; Albin Wiklund; [2023]
    Nyckelord :GitHub; Workflow automation; GitHub Actions; Open source; Repositories; Git; Workflows; Automation;

    Sammanfattning : The number of people working together in repositories grows every day. With increasing activity and interaction in a repository the amount of work required to maintain high quality and productivity is a problem. LÄS MER

  5. 24. Problem Solving Using Automatically Generated Code

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Emir Catir; Robin Claesson; [2023]
    Nyckelord :automatic code generation; code accuracy; natural language processing; GitHub Copilot; CodePal; problem-solving; automatisk kodgenerering; kods träffsäkerhet; språkvetenskap; GitHub Copilot; CodePal; problemlösning;

    Sammanfattning : Usage of natural language processing tools to generate code is increasing together with the advances in artificial intelligence. These tools could improve the efficiency of software development, if the generated code can be shown to be trustworthy enough to solve a given problem. LÄS MER

  7. 25. Robustness of State-of-the-Art Visual Odometry and SLAM Systems

    Master-uppsats, KTH/Tillämpad fysik

    Författare :Cassandra Mannila; [2023]
    Nyckelord :Visual-Inertial Odometry; Visual Odometry; SLAM; Motion blur; ORB-SLAM3; DM-VIO; Robustness;

    Sammanfattning : Visual(-Inertial) Odometry (VIO) and Simultaneous Localization and Mapping (SLAM) are hot topics in Computer Vision today. These technologies have various applications, including robotics, autonomous driving, and virtual reality. They may also be valuable in studying human behavior and navigation through head-mounted visual systems. LÄS MER