codemeta.json

{
    "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
    "@type": "SoftwareSourceCode",
    "name": "Zero-Shot Video Generation",
    "description": "A Zero-Shot Video Generation system developed as a 3rd-Semester Project for the MEng Computer Engineering program. This implementation utilizes PyTorch, Stable Diffusion, and Gradio to transform text prompts into dynamic video content without video-specific training.",
    "identifier": "ZERO-SHOT-VIDEO-GENERATION",
    "license": "https://spdx.org/licenses/MIT.html",
    "programmingLanguage": [
        "Python",
        "CSS"
    ],
    "author": [
        {
            "@type": "Person",
            "givenName": "Amey",
            "familyName": "Thakur",
            "id": "https://orcid.org/0000-0001-5644-1575",
            "affiliation": {
                "@type": "Organization",
                "name": "University of Windsor"
            }
        }
    ],
    "dateReleased": "2023-11-22",
    "codeRepository": "https://github.com/Amey-Thakur/ZERO-SHOT-VIDEO-GENERATION",
    "developmentStatus": "complete",
    "runtimePlatform": [
        "Python 3.8+",
        "PyTorch",
        "CUDA"
    ],
    "applicationCategory": "Machine Learning",
    "keywords": [
        "Zero-Shot Video Generation",
        "Text-to-Video",
        "Machine Learning",
        "Stable Diffusion",
        "PyTorch",
        "Gradio",
        "Computer Vision",
        "MEng Computer Engineering"
    ]
}