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        "author": "Tae Hwan Jung(@graykode)",
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        "description": "## modelaverage\n\n<p align=\"center\">\n    <img width=\"100\" src=\"https://upload.wikimedia.org/wikipedia/commons/thumb/1/11/TensorFlowLogo.svg/225px-TensorFlowLogo.svg.png\" />\n    <img width=\"100\" src=\"https://keras.io/img/keras-logo-small-wb.png\" />\n</p>\n`modelaverage` is a pip package which make the average weight of model weight in `same models`, inspired by [Average weights in keras models](https://stackoverflow.com/questions/48212110/average-weights-in-keras-models). I created this pip package to use distributed computing environment like `kubernetes`.\n\n![](average.jpg)\n\n## Usage\n\n1. `pip install modelaverage` or `git clone https://github.com/graykode/modelaverage && python setup.py install`\n2. using function `average(modellist)`\n   - modellist : list of model file names.\n   - return : averaged weight model\n\n\n\n## Example\n\nPlease see example\n\n```python\nimport tensorflow as tf\nfrom modelaverage import average\n\nmodellist = ['models/mnist1.h5', 'models/mnist2.h5', 'models/mnist3.h5', 'models/mnist4.h5', 'models/mnist5.h5',\n             'models/mnist6.h5', 'models/mnist7.h5', 'models/mnist8.h5', 'models/mnist9.h5']\n\naveraged_model = average(modellist)\n\nfor w in averaged_model.get_weights():\n    print(w.shape)\n```\n\n\n\n## Author\n\n- Name : Tae Hwan Jung(@graykode)\n- Email : nlkey2022@gmail.com",
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