├── README.md ├── Todo ├── papers ├── R & Python for Clinical Workflows Bowsher.pdf └── R for Deep Learning with Tensorflow with Applications in Cancer Immunotherapy Bowsher.pdf ├── part1 ├── Notes in VS Code ├── Shiny-Python │ ├── __pycache__ │ │ └── matplotlib.cpython-37.pyc │ ├── app.R │ ├── matplotlib_example.py │ ├── notes.html │ ├── pandas_df.py │ ├── python_function.py │ └── test.png ├── demo-notebook.Rmd ├── functions.py ├── jupyter-interactive-visualization │ ├── jupyter-interactive-visualization.ipynb │ └── requirements.txt ├── jupyter-static-visualization │ ├── jupyter-static-visualization.ipynb │ ├── manifest.json │ └── requirements.txt ├── python-visualization.py ├── reticulated-shiny-app-py2 │ ├── manifest.json │ ├── requirements.txt │ ├── server.R │ ├── server.py │ └── ui.R └── reticulated-shiny-rmd-py2 │ ├── index.Rmd │ ├── manifest.json │ ├── requirements.txt │ ├── rsconnect │ └── documents │ │ └── index.Rmd │ │ └── 192.168.0.111 │ │ └── admin │ │ └── reticulated-shiny-rmd.dcf │ └── server.py ├── part2 ├── 03_hello_keras.Rmd ├── TF_Intro.R ├── keras_image_recognition │ ├── pretrained.R │ ├── server.R │ └── ui.R └── torch.R ├── part_3 └── immunotherapy │ ├── 0_immunotherapy_notebook.Rmd │ ├── 1_train_model.R │ ├── 2_publish_model.R │ ├── 3_share_model_plumber │ ├── 3_share_model_plumber.R │ └── requirements.txt │ ├── 4_consume_api.R │ ├── README.Rmd │ ├── README.md │ ├── README_files │ └── figure-gfm │ │ └── unnamed-chunk-2-1.png │ ├── immunotherapy.Rproj │ ├── inst │ └── images │ │ ├── api_tensorflow.png │ │ ├── tetrapeptide_formula_wikipedia.png │ │ ├── workflow_deployment.png │ │ └── workflow_objective.png │ ├── install_pre_reqs.R │ ├── workflow.Rmd │ └── workflow.html ├── renv.lock ├── renv ├── .gitignore ├── activate.R └── settings.dcf └── requirements.txt /README.md: -------------------------------------------------------------------------------- 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