Skip to main content

This project contains standardized tools to use LLMs in research studies for improving patient care.

Project description

project_ryland

This project develops standardized tools to use LLMs in research studies for improving patient care.

RYLAND stands for Research sYstem for LLM-based Analytics of Novel Data. Ryland is the protagonist of Justin's favorite book (he'll leave it to you to figure out which one)

Ignore the file tree - it needs to be updated.

Project Organization

├── LICENSE            <- Open-source license if one is chosen
├── Makefile           <- Makefile with convenience commands like `make data` or `make train`
├── README.md          <- The top-level README for developers using this project.
├── data
│   ├── external       <- Data from third party sources.
│   ├── interim        <- Intermediate data that has been transformed.
│   ├── processed      <- The final, canonical data sets for modeling.
│   └── raw            <- The original, immutable data dump.
│
├── docs               <- A default mkdocs project; see www.mkdocs.org for details
│
├── models             <- Trained and serialized models, model predictions, or model summaries
│
├── notebooks          <- Jupyter notebooks. Naming convention is a number (for ordering),
│                         the creator's initials, and a short `-` delimited description, e.g.
│                         `1.0-jqp-initial-data-exploration`.
│
├── pyproject.toml     <- Project configuration file with package metadata for 
│                         project_ryland_code and configuration for tools like black
│
├── references         <- Data dictionaries, manuals, and all other explanatory materials.
│
├── reports            <- Generated analysis as HTML, PDF, LaTeX, etc.
│   └── figures        <- Generated graphics and figures to be used in reporting
│
├── requirements.txt   <- The requirements file for reproducing the analysis environment, e.g.
│                         generated with `pip freeze > requirements.txt`
│
├── setup.cfg          <- Configuration file for flake8
│
└── project_ryland_code   <- Source code for use in this project.
    │
    ├── __init__.py             <- Makes project_ryland_code a Python module
    │
    ├── config.py               <- Store useful variables and configuration
    │
    ├── dataset.py              <- Scripts to download or generate data
    │
    ├── features.py             <- Code to create features for modeling
    │
    ├── modeling                
    │   ├── __init__.py 
    │   ├── predict.py          <- Code to run model inference with trained models          
    │   └── train.py            <- Code to train models
    │
    └── plots.py                <- Code to create visualizations

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

project_ryland-2.0.7.tar.gz (11.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

project_ryland-2.0.7-py3-none-any.whl (11.7 kB view details)

Uploaded Python 3

File details

Details for the file project_ryland-2.0.7.tar.gz.

File metadata

  • Download URL: project_ryland-2.0.7.tar.gz
  • Upload date:
  • Size: 11.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for project_ryland-2.0.7.tar.gz
Algorithm Hash digest
SHA256 a21d450e05db866a91d8a150b28abd9b90d6e831a91843f5208a34a72f3784c4
MD5 c00aaaad5b4e5c72961d5118a7cf764a
BLAKE2b-256 fc596944a92025d813e1d8b1a8a633f5e41cb32c5eb93a8de7230f4ddecd38b1

See more details on using hashes here.

Provenance

The following attestation bundles were made for project_ryland-2.0.7.tar.gz:

Publisher: publish.yml on justin-vinh/project_ryland

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file project_ryland-2.0.7-py3-none-any.whl.

File metadata

  • Download URL: project_ryland-2.0.7-py3-none-any.whl
  • Upload date:
  • Size: 11.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for project_ryland-2.0.7-py3-none-any.whl
Algorithm Hash digest
SHA256 6be285088d3b31f10f8a19f3ec02f3ce8a769d3a5a98e90f7480fcea77891f33
MD5 630aebf65c58915fb097a444dd131cec
BLAKE2b-256 2dea0d159765cb3c6c59788fd0d6d7a4fdffe01d30191fbd4ea6148289279f7c

See more details on using hashes here.

Provenance

The following attestation bundles were made for project_ryland-2.0.7-py3-none-any.whl:

Publisher: publish.yml on justin-vinh/project_ryland

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page