Skip to content

Participants Learning Logs

Carlos Lizarraga-Celaya edited this page Jul 19, 2024 · 5 revisions

Here everyone links to their Learning Log & Github Repository with products and learning experiences related to this worksop.

Please follow the notes and guidance to make your research work open and reproducible.

You are required to create a specific Github Repository that collects all your code, data and learning experiences, with similar structure as shown below. You are free to modify it.

├── data            
│   ├── final                       # data after training the model
│   ├── processed                   # data after processing
│   ├── raw                         # raw data
├── docs                            # documentation for your project
├── .flake8                         # configuration for flake8 - a Python formatter tool
├── .gitignore                      # ignore files that cannot commit to Git
├── Makefile                        # store useful commands to set up the environment
├── models                          # store models
├── notebooks                       # store notebooks
├── .pre-commit-config.yaml         # configurations for pre-commit
├── pyproject.toml                  # dependencies for poetry
├── README.md                       # describe your project
├── src                             # store source code
│   ├── __init__.py                 # make src a Python module
│   ├── config.py                   # store configs 
│   ├── process.py                  # process data before training model
│   ├── run_notebook.py             # run notebook
│   └── train_model.py              # train model
└── tests                           # store tests
    ├── __init__.py                 # make tests a Python module 
    ├── test_process.py             # test functions for process.py
    └── test_train_model.py         # test functions for train_model.py

Participants Github Repos

Name Github Repo Wiki
Jon Link Link
Sahil Link Link
Sidh Link Link
Srinivas Link Link

Remember: we have a Slack Channel #dl-pose-estimation at the Data7 Slack (ua-data7.slack.com) for Q&A related with the your project.


Created: 07/17/2024 (C. Lizárraga)

Updated: 07/18/2024 (C. Lizárraga)

DataLab, Data Science Institute, University of Arizona.

CC BY-NC-SA 4.0