{
    "info": {
        "author": "Shipeng Yan",
        "author_email": "yanshp@shanghaitech.edu.cn",
        "bugtrack_url": null,
        "classifiers": [
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: Implementation :: CPython",
            "Programming Language :: Python :: Implementation :: PyPy"
        ],
        "description": "\n### Installation\n* Install Hyperopt(Don't install by pip. The Hyperopt version in pip is too old. Install it from source.)\n    - git clone https://github.com/hyperopt/hyperopt.git\n    - python setup.py install\n    - sudo apt-get install mongodb-server\n* install torchnet\n### Designs\nA deep-learning project usually consists of data loading, model building, model training/testing phases.\nAlso we need some auxiliary functions such as autosave/load, visualization, auto hyperparameter optimization and some debug tools, etc. to help us. \n\n#### Optimizing hyperparameters\n* Available libraries: Hyperopt, HPOlib2, neupy\n\n\n\n# torchnet_Venus\nThe base framework for deep learning based on pytorch, torchnet, etc.\n\n\n## TODO\n[TODO Issue](https://github.com/ShanghaiTechVENUS/torchnet_Venus/issues/1)\n## Credits\n\nPrimarily referenced tnt of pytorch:  [Torchnet @pytorch](https://github.com/pytorch/tnt)\n\nMany thanks to [@pytorch](https://github.com/pytorch).\n\n\n# Code Structure: a lib that helps us to do some debugs, tune parameters, visualize, config\nWish the lib to be a wrapper, but users can also use the modules separately.\n\n* debug utilities\n\n## Recently\n* base\n* initializer    \n* visual\n* hyperopt: tune hyper parameters\n* optimizer: multistep learner\n* config\n* autosave, autoload: If unexpected interruption or active keyboard interruption happens to the program, then will save the checkpoint and parameters automatically.\n* utils\n    - seed initialization\n    - weight initialization\n\n\n## Long-term goal\n* profiler\n* common dataloader\n* search structure\n* tnt such as engine, meter\n* autoselect idle graphic card\n\n\n# Class graph\nconfig \n\nEngine: Tune network parameters\n    - autosave\n    - train\n    - test\n    - load_test\n    - load_train\n\nStructureSearcher     \nHyperopt            ->         Engine             -> config\n                                        -> visual\n\n\nDataLoader\n\nShould be a template or a library?\nFlexibility should be the first.\nUtilities follows.\n\n\n",
        "description_content_type": "",
        "docs_url": null,
        "download_url": "",
        "downloads": {
            "last_day": -1,
            "last_month": -1,
            "last_week": -1
        },
        "home_page": "https://github.com/ShanghaiTechVENUS/venus/tree/master",
        "keywords": "",
        "license": "MIT",
        "maintainer": "",
        "maintainer_email": "",
        "name": "shtu-venus",
        "package_url": "https://pypi.org/project/shtu-venus/",
        "platform": "",
        "project_url": "https://pypi.org/project/shtu-venus/",
        "project_urls": {
            "Homepage": "https://github.com/ShanghaiTechVENUS/venus/tree/master"
        },
        "release_url": "https://pypi.org/project/shtu-venus/0.11/",
        "requires_dist": [
            "easydict"
        ],
        "requires_python": ">=2.7.0",
        "summary": "A deep learning experiment tool to help you develop and manage your project",
        "version": "0.11"
    },
    "last_serial": 3729076,
    "releases": {
        "0.1": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "193bc88a367f7ba7c59eb3ddbb58fa87",
                    "sha256": "8f24537a5597ba6b063c2148fb838561b9219a509c9e71f4e71fc87e5e84823f"
                },
                "downloads": -1,
                "filename": "shtu_venus-0.1-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "193bc88a367f7ba7c59eb3ddbb58fa87",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": ">=3.6.0",
                "size": 36439,
                "upload_time": "2018-04-03T09:18:40",
                "url": "https://files.pythonhosted.org/packages/27/03/9886a70d69005739d9e0c9745db8a96ddf60ecfb0517c06aad8e189bb0e4/shtu_venus-0.1-py2.py3-none-any.whl"
            }
        ],
        "0.11": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "dcdcc15ef45da6bfe11ce554ae2c01b7",
                    "sha256": "6f67d53320a94e85aa552781406f381edad84a3fcde4f17e04b7483e35753c07"
                },
                "downloads": -1,
                "filename": "shtu_venus-0.11-py2.py3-none-any.whl",
                "has_sig": false,
                "md5_digest": "dcdcc15ef45da6bfe11ce554ae2c01b7",
                "packagetype": "bdist_wheel",
                "python_version": "py2.py3",
                "requires_python": ">=2.7.0",
                "size": 36456,
                "upload_time": "2018-04-03T10:35:39",
                "url": "https://files.pythonhosted.org/packages/19/4e/790b8497c42666675eb7a15787a65a989dc94fe97e5e53ec359d4227db39/shtu_venus-0.11-py2.py3-none-any.whl"
            }
        ]
    },
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "dcdcc15ef45da6bfe11ce554ae2c01b7",
                "sha256": "6f67d53320a94e85aa552781406f381edad84a3fcde4f17e04b7483e35753c07"
            },
            "downloads": -1,
            "filename": "shtu_venus-0.11-py2.py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "dcdcc15ef45da6bfe11ce554ae2c01b7",
            "packagetype": "bdist_wheel",
            "python_version": "py2.py3",
            "requires_python": ">=2.7.0",
            "size": 36456,
            "upload_time": "2018-04-03T10:35:39",
            "url": "https://files.pythonhosted.org/packages/19/4e/790b8497c42666675eb7a15787a65a989dc94fe97e5e53ec359d4227db39/shtu_venus-0.11-py2.py3-none-any.whl"
        }
    ]
}