{"id":18972026,"url":"https://github.com/gralliry/pytorch-nn-model-design","last_synced_at":"2026-05-15T21:37:45.953Z","repository":{"id":220255569,"uuid":"751151941","full_name":"gralliry/Pytorch-NN-Model-Design","owner":"gralliry","description":"Many tasks of pytorch for Network-Model-Design. 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(Or just for a simple deep learning task.)\n\nConsider introducing tasks for ```Scikit-Learn```, ```TensorFlow```, etc. later. (just consider)\n\n## Examples / Tasks\n\n* Chinese to English\n* Next Frame Prediction\n* Sentiment Analysis on Movie Review\n* Binary Classification with a Bank Churn Dataset\n* Multi-Class Prediction of Obesity Risk\n* Regression with a Mohs Hardness Dataset\n* ......\n\n## Structure\n\nThe sample files are in the ```template``` folder.\n\nNote: \n\n* Since the general model parameter file is large, it will not be uploaded to __GitHub__, if the code does not\nhave the logic to create this folder, please create your own ```checkpoint``` folder.\n* If the dataset file is small ( \u003c5M ), it is uploaded directly to __GitHub__ in the ```dataset``` folder. Some cleaned data is also placed / generated in this folder.\n\n```\ndataset/      # folder to store the data set\n\ncheckpoint/   # folder to store model parameters\n\ncriterion.py  # custom loss function\n\ndataset.py    # custom dataset\n\nmodel.py      # model\n\ntrain.py      # train the model\n\ntest.py       # test the model\n```\n\n## Contributors\n\n* [gralliry](https://github.com/gralliry)\n\n## Contact\n\nEmail: aiccyxixy@163.com\n\n## License\n\n```MIT License```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgralliry%2Fpytorch-nn-model-design","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgralliry%2Fpytorch-nn-model-design","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgralliry%2Fpytorch-nn-model-design/lists"}