Fraunhofer Institute for Algorithms and Scientific Computing
ADHTEB
ADHTEB (Alzheimer’s Disease Harmonization Text Embedding Benchmark) is a Python package designed to evaluate the performance of text-embedding models in harmonizing variable descriptions from diverse cohorts in the context of Alzheimer’s disease.
- alzheimers disease
- benchmark
- large language models
- + 1
- (Python)
Datastew
Datastew is a python library for intelligent data harmonization using Large Language Model (LLM) vector embeddings.
- Data Harmonization
- data stewardship
- large language models
- + 1
- (Python)
Py-HLA-Match
Py-HLA-Match is a Python library for standardised, rule-based HLA (Human Leukocyte Antigen) matching in retrospective analyses, method development, benchmarking, and in silico studies in immunogenetics and related fields.
- antigen recognition domain
- ARD
- HLA
- + 10
- (Python)
Syndat
Syndat is a python package that provides functionalities for the evaluation and visualization of synthetic data.
- Clinical Data
- data privacy
- Data Quality
- + 3
- (Python)
Syndat Dashboard
A Dashboard for evaluation & visualization of synthetic patient level data.
- data fidelity
- data privacy
- Interactive Dashboard
- + 1
- (CSS)
- (Dockerfile)
- (HTML)
- + 3