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align=\"center\"\u003e\n  \u003cimg src=\"https://raw.githubusercontent.com/shan18/TensorNet/master/images/tensornet_logo.png\" alt=\"tensornet\" /\u003e\n  \u003cbr /\u003e\n  \u003cbr /\u003e\n  \u003cimg src=\"https://img.shields.io/badge/version-1.3.3-blue.svg\" alt=\"Version\"\u003e\n  \u003ca href='https://tensornet.readthedocs.io/en/latest/?badge=latest'\u003e\u003cimg src='https://readthedocs.org/projects/tensornet/badge/?version=latest' alt='Documentation Status' /\u003e\u003c/a\u003e\n  \u003ca href=\"https://github.com/shan18/TensorNet/blob/master/LICENSE\"\u003e\u003cimg src=\"https://img.shields.io/apm/l/atomic-design-ui.svg?\" alt=\"MIT License\"\u003e\u003c/a\u003e\n  \u003cbr /\u003e\n\u003c/p\u003e\n\nTensorNet is a high-level deep learning library built on top of PyTorch.\n\n## Installation\n\nYou can use pip to install tensornet\n\n```[bash]\npip install torch-tensornet\n```\n\nIf you want to get the latest version of the code before it is released on PyPI you can install the library from GitHub\n\n```[bash]\npip install git+https://github.com/shan18/TensorNet.git#egg=torch-tensornet\n```\n\n## Documentation\n\nDocumentation is available at: https://tensornet.readthedocs.io/en/latest/\n\n## How to Use\n\nFor examples on how to use TensorNet, refer to the [examples](https://github.com/shan18/TensorNet/tree/master/examples) directory.\n\n## Dependencies\n\nTensorNet has the following third-party dependencies\n\n- torch\n- torchvision\n- torchsummary\n- tqdm\n- matplotlib\n- albumentations\n- opencv-python\n\n## Contact/Getting Help\n\nIf you need any help or want to report a bug, raise an issue in the repo.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshan18%2Ftensornet","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fshan18%2Ftensornet","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshan18%2Ftensornet/lists"}