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Author:
Vinicius Anjos de Almeida
Summary:
Any-to-Any Terminology Mapping (AATM) is a framework for creating mappings between different terminologies or vocabularies. It uses OHDSI standard vocabularies and data models as a basis for mapping, and can be used to create mappings between any two terminologies or vocabularies. AATM is designed to be flexible and extensible, allowing users to create mappings for a wide range of use cases.
Latest version:
0.1.7
Required dependencies:
chromadb
|
datasets
|
fastapi
|
gdown
|
google-genai
|
jsonlines
|
nvidia-ml-py
|
openai
|
pandas
|
peft
|
python-multipart
|
pyyaml
|
questionary
|
rank-bm25
|
rich
|
sentence-transformers
|
streamlit
|
torch
|
tqdm
|
transformers
|
typer
Optional dependencies:
dvc
|
dvclive
|
ipykernel
|
ipywidgets
|
matplotlib
|
mkdocs
|
mkdocs-glightbox
|
mkdocs-material
|
mkdocstrings
|
mypy
|
pandas-stubs
|
pytest
|
ruff
|
types-pyyaml
|
types-tqdm
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