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Medicine Python Packages

Python packages with the GitHub topic medicine. Sorted by monthly downloads, with stars and forks.
mims-harvard
pytdc

Therapeutics Commons (TDC): Multimodal Foundation for Therapeutic Science

263K 1K 225
Medial-EarlySign
medpython

Medial Research Libs Infrastructure

4K 4 0
shz9
viprs

Variational Inference of Polygenic Risk Scores

3K 36 4
robchiral
anasim-simulator

Real-time anesthesia simulation engine for medical education.

2K 1 0
teffalump
orthanc-rest-client

A REST client for Orthanc DICOM servers

427 19 3
teffalump
beren

A REST client for Orthanc DICOM servers

378 19 3
lucidrains
med-seg-diff-pytorch

Implementation of MedSegDiff in Pytorch - SOTA medical segmentation using DDPM and filtering of features in fourier space

364 239 28
AberystwythSystemsBiology
medialpy

A small python package that allows the user to look up common medical abbreviations.

315 13 2
cogstack
opengpt

A framework for creating grounded instruction based datasets and training conversational domain expert Large Language Models (LLMs).

295 372 45
zms-publishing
zms

Running on Python 3.10+

290 16 7
insilicomedicine
p3gpt

Wrappers for easier generative biology workflows

216 24 6
Ceyeborg
gs1grader

GS1Grader - Grading datamatrices based on GS1 guidelines

193 3 0
fschwar4
pycohortflow

Lightweight cohort flow diagrams built on Matplotlib.

189 0 0
banderlog
drg2txt

Mapper for MS-DRG v38.1 (DRG/MDC numeric codes to their text description)

181 1 0
Medial-EarlySign
medpython-etl

Medial Research Tools for Machine learning in medical data, EMR

142 2 0
vanderschaarlab
temporai

TemporAI: ML-centric Toolkit for Medical Time Series

129 131 24
cherenkov-plenoscope
ray-voxel-overlap

Estimating system-matrices for tomography

91 6 0
SML-CompBio
oncomark

A deep learning tool designed to predict Cancer Hallmark activities from tumor biopsy samples.

84 3 0
lightbluetitan
meddatasets

The meddatasets library contains clinical research datasets, cancer diagnostic records, chronic disease statistics, smoking and cancer risk data, worldwide COVID-19 case records, water pollution and disease impact data, and much more.

65 8 0
XanderJC
medkit-learn

The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation (NeurIPS 2021) by Alex J. Chan, Ioana Bica, Alihan Huyuk, Daniel Jarrett, and Mihaela van der Schaar.

42 29 1
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    • Sources & methodology