Stanford Machine Learning Group

stanfordmlgroup

Our mission is to significantly improve people's lives through our work in AI

Stanford, CA

mlgroup.stanford.edu

Stanford Machine Learning Group's repositories

ngboost

Natural Gradient Boosting for Probabilistic Prediction

Language:PythonApache-2.01598 44 205

chexpert-labeler

CheXpert NLP tool to extract observations from radiology reports.

Language:PythonMIT323 16 37

nlc

Neural Language Correction implemented on Tensorflow

Language:Python156 20 17

stanfordmlgroup.github.io

Group Website

Language:HTML92 20 8

CheXbert

Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT

Language:PythonNOASSERTION89 6 7

blm

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

Language:PythonMIT42 6 1

MoCo-CXR

MoCo-based unsupervised training for Chest X-Ray Interpretation

Language:Python37 5 3

disentanglement

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

Language:Python36 6 3

DLBCL-Morph

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

Language:Jupyter Notebook34 4 2

USat

Language:PythonMIT28 8 2

MedSelect

Learns effective selective labeling strategies for medical images using deep reinforcement learning and meta learning

Language:PythonApache-2.025 50

VisualCheXbert

Addressing the Discrepancy Between Radiology Report Labels and Image Labels

Language:PythonNOASSERTION20 4 1

mobius

Language:Jupyter NotebookNOASSERTION16 4 2

selfsupervised-lungandheartsounds

Language:Python14 5 1

methane-gapfill-ml

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

Language:PythonApache-2.013 8 4

CheXseg

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

Language:PythonMIT11 7 1

LaunchPad

LaunchPad is a light-weighted Slurm job launcher designed for hyper-parameter search.

Language:Python11 40

ed-monitor-data

Language:Python8 4 1

MedAug

Public release for MedAug

Language:Jupyter NotebookMIT8 60

CheXaid

Language:PythonMIT5 4 2

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

Language:Jupyter NotebookMIT400

influenza-qtof

Novel metabolomics approach combined with machine learning for the diagnosis of influenza from nasopharyngeal specimens

Language:Jupyter Notebook3 60

ed-monitor-myocardial-injury

Language:Jupyter NotebookMIT2 30

VetLLM

Code for VetLLM paper

Language:Jupyter NotebookMIT2 50

Image-Downloader

Download images from Google, Bing, Baidu. 谷歌、百度、必应图片下载.

Language:PythonMIT1 10

InterActive-Learning-Toolkit

Language:Jupyter Notebook1 30

aicc-spr20-transportation-seamseg

Seamless Scene Segmentation

Language:PythonBSD-3-Clause030

optimizing-vital-signs

Language:Python030

pytorch-examples

Justin Johnson PyTorch Tutorial

Language:PythonMIT010

well-pad-denver-permian

Public repository for "Deep learning for detecting and characterizing oil and gas well pads in satellite imagery."

Language:Python000