srt-torch


Namesrt-torch JSON
Version 0.0.1 PyPI version JSON
download
home_pagehttps://github.com/Agora-Lab-AI/SRT
SummarySurgical Robot Transformer (SRT): Imitation Learning for Surgical Tasks
upload_time2024-11-17 22:36:52
maintainerNone
docs_urlNone
authorKye Gomez
requires_python<4.0,>=3.10
licenseMIT
keywords artificial intelligence deep learning optimizers prompt engineering
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # Surgical Robot Transformer (SRT)

[![Join our Discord](https://img.shields.io/badge/Discord-Join%20our%20server-5865F2?style=for-the-badge&logo=discord&logoColor=white)](https://discord.gg/agora-999382051935506503) [![Subscribe on YouTube](https://img.shields.io/badge/YouTube-Subscribe-red?style=for-the-badge&logo=youtube&logoColor=white)](https://www.youtube.com/@kyegomez3242) [![Connect on LinkedIn](https://img.shields.io/badge/LinkedIn-Connect-blue?style=for-the-badge&logo=linkedin&logoColor=white)](https://www.linkedin.com/in/kye-g-38759a207/) [![Follow on X.com](https://img.shields.io/badge/X.com-Follow-1DA1F2?style=for-the-badge&logo=x&logoColor=white)](https://x.com/kyegomezb)


An open-source non-official community implementation of the model from the paper: Surgical Robot Transformer (SRT): Imitation Learning for Surgical Tasks: https://surgical-robot-transformer.github.io/



            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/Agora-Lab-AI/SRT",
    "name": "srt-torch",
    "maintainer": null,
    "docs_url": null,
    "requires_python": "<4.0,>=3.10",
    "maintainer_email": null,
    "keywords": "artificial intelligence, deep learning, optimizers, Prompt Engineering",
    "author": "Kye Gomez",
    "author_email": "kye@apac.ai",
    "download_url": "https://files.pythonhosted.org/packages/00/1c/913b68ca34e2216c6d642e7a0656bf28fa53ff9254b4b3f3e059bd75bee6/srt_torch-0.0.1.tar.gz",
    "platform": null,
    "description": "# Surgical Robot Transformer (SRT)\n\n[![Join our Discord](https://img.shields.io/badge/Discord-Join%20our%20server-5865F2?style=for-the-badge&logo=discord&logoColor=white)](https://discord.gg/agora-999382051935506503) [![Subscribe on YouTube](https://img.shields.io/badge/YouTube-Subscribe-red?style=for-the-badge&logo=youtube&logoColor=white)](https://www.youtube.com/@kyegomez3242) [![Connect on LinkedIn](https://img.shields.io/badge/LinkedIn-Connect-blue?style=for-the-badge&logo=linkedin&logoColor=white)](https://www.linkedin.com/in/kye-g-38759a207/) [![Follow on X.com](https://img.shields.io/badge/X.com-Follow-1DA1F2?style=for-the-badge&logo=x&logoColor=white)](https://x.com/kyegomezb)\n\n\nAn open-source non-official community implementation of the model from the paper: Surgical Robot Transformer (SRT): Imitation Learning for Surgical Tasks: https://surgical-robot-transformer.github.io/\n\n\n",
    "bugtrack_url": null,
    "license": "MIT",
    "summary": "Surgical Robot Transformer (SRT): Imitation Learning for Surgical Tasks",
    "version": "0.0.1",
    "project_urls": {
        "Documentation": "https://github.com/Agora-Lab-AI/SRT",
        "Homepage": "https://github.com/Agora-Lab-AI/SRT",
        "Repository": "https://github.com/Agora-Lab-AI/SRT"
    },
    "split_keywords": [
        "artificial intelligence",
        " deep learning",
        " optimizers",
        " prompt engineering"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "d208bc452b8b85348f56ae4abda6ba581e6bbdfb2cc85d156e3375d3d2355909",
                "md5": "ba40809f1bca26d29ed1652751dfceb0",
                "sha256": "2ac726377957674e11a179580ede331997f4e2a86346617eb40415bc32c7a71c"
            },
            "downloads": -1,
            "filename": "srt_torch-0.0.1-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "ba40809f1bca26d29ed1652751dfceb0",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": "<4.0,>=3.10",
            "size": 5307,
            "upload_time": "2024-11-17T22:36:51",
            "upload_time_iso_8601": "2024-11-17T22:36:51.022907Z",
            "url": "https://files.pythonhosted.org/packages/d2/08/bc452b8b85348f56ae4abda6ba581e6bbdfb2cc85d156e3375d3d2355909/srt_torch-0.0.1-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "001c913b68ca34e2216c6d642e7a0656bf28fa53ff9254b4b3f3e059bd75bee6",
                "md5": "1f3958d0103561c6a464c384f1ca24a6",
                "sha256": "a3150ace6de540fef6dd49804c8ee714c1462f2019b178f39b202316e9d9aaba"
            },
            "downloads": -1,
            "filename": "srt_torch-0.0.1.tar.gz",
            "has_sig": false,
            "md5_digest": "1f3958d0103561c6a464c384f1ca24a6",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": "<4.0,>=3.10",
            "size": 4949,
            "upload_time": "2024-11-17T22:36:52",
            "upload_time_iso_8601": "2024-11-17T22:36:52.284072Z",
            "url": "https://files.pythonhosted.org/packages/00/1c/913b68ca34e2216c6d642e7a0656bf28fa53ff9254b4b3f3e059bd75bee6/srt_torch-0.0.1.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-11-17 22:36:52",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "Agora-Lab-AI",
    "github_project": "SRT",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": true,
    "requirements": [],
    "lcname": "srt-torch"
}
        
Elapsed time: 2.15205s