Stanford Machine Learning Group (@stanfordmlgroup)
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Top repositories

1

ngboost

Natural Gradient Boosting for Probabilistic Prediction
Python
1,643
star
2

chexpert-labeler

CheXpert NLP tool to extract observations from radiology reports.
Python
344
star
3

nlc

Neural Language Correction implemented on Tensorflow
Python
156
star
4

ManyICL

Python
103
star
5

CheXbert

Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT
Python
101
star
6

stanfordmlgroup.github.io

Group Website
HTML
95
star
7

nlm-noising

Python
75
star
8

blm

Our project on using computer vision to combat computer vision for a cause I hope you care about. #BlackLivesMatter
Python
39
star
9

MoCo-CXR

MoCo-based unsupervised training for Chest X-Ray Interpretation
Python
38
star
10

disentanglement

Official repository for our ICLR 2021 paper Evaluating the Disentanglement of Deep Generative Models with Manifold Topology
Python
36
star
11

DLBCL-Morph

DLBCL-Morph dataset containing high resolution tissue microarray scans from 209 DLBCL cases, with geometric features computed using deep learning
Jupyter Notebook
35
star
12

MedSelect

Learns effective selective labeling strategies for medical images using deep reinforcement learning and meta learning
Python
25
star
13

cheXphoto

Code used in paper "CheXphoto: 10,000+ Smartphone Photos and Synthetic Photographic Transformations of Chest X-rays for Benchmarking Deep Learning Robustness"
Python
21
star
14

VisualCheXbert

Addressing the Discrepancy Between Radiology Report Labels and Image Labels
Python
21
star
15

dq

Queue system (jobs) on the deep cluster
Shell
20
star
16

cdr-mimic

Official Repository for our UAI paper Countdown Regression on the MIMIC-III Dataset
Python
18
star
17

selfsupervised-lungandheartsounds

Python
17
star
18

mobius

Jupyter Notebook
16
star
19

methane-gapfill-ml

Python codebase for gap-filling eddy covariance methane fluxes at FLUXNET-CH4 wetlands with machine learning.
Python
14
star
20

CheXseg

Code used in the paper "CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps for X-ray Segmentation"
Python
12
star
21

LaunchPad

LaunchPad is a light-weighted Slurm job launcher designed for hyper-parameter search.
Python
11
star
22

risk-adjustment-ml

Incorporating machine learning and social determinants of health indicators into prospective risk adjustment for health plan payments.
Python
11
star
23

lca-code

LiverCancerAssistant
Python
10
star
24

Auto-Generate-WLs

Code repository supporting the paper "Auto-Generating Weak Labels for Real & Synthetic Data to Improve Label-Scarce Medical Image Segmentation" - MIDL 2024
Jupyter Notebook
9
star
25

MedAug

Public release for MedAug
Jupyter Notebook
8
star
26

CheXaid

Python
5
star
27

influenza-qtof

Novel metabolomics approach combined with machine learning for the diagnosis of influenza from nasopharyngeal specimens
Jupyter Notebook
3
star
28

ed-monitor-data

Used to extract and process bedside monitoring data from the ED. Also contains a module useful for training machine learning models on the extracted data.
Python
2
star
29

ed-monitor-myocardial-injury

Jupyter Notebook
2
star
30

InterActive-Learning-Toolkit

Jupyter Notebook
1
star