Stanford Machine Learning Group
Our mission is to significantly improve people's lives through our work in AI
Stanford, CA
Pinned Repositories
blm
Our project on using computer vision to combat computer vision for a cause I hope you care about. #BlackLivesMatter
CheXbert
Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT
chexpert-labeler
CheXpert NLP tool to extract observations from radiology reports.
disentanglement
Official repository for our ICLR 2021 paper Evaluating the Disentanglement of Deep Generative Models with Manifold Topology
ManyICL
MoCo-CXR
MoCo-based unsupervised training for Chest X-Ray Interpretation
ngboost
Natural Gradient Boosting for Probabilistic Prediction
nlc
Neural Language Correction implemented on Tensorflow
nlm-noising
stanfordmlgroup.github.io
Group Website
Stanford Machine Learning Group's Repositories
stanfordmlgroup/ngboost
Natural Gradient Boosting for Probabilistic Prediction
stanfordmlgroup/chexpert-labeler
CheXpert NLP tool to extract observations from radiology reports.
stanfordmlgroup/nlc
Neural Language Correction implemented on Tensorflow
stanfordmlgroup/stanfordmlgroup.github.io
Group Website
stanfordmlgroup/CheXbert
Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT
stanfordmlgroup/ManyICL
stanfordmlgroup/blm
Our project on using computer vision to combat computer vision for a cause I hope you care about. #BlackLivesMatter
stanfordmlgroup/MoCo-CXR
MoCo-based unsupervised training for Chest X-Ray Interpretation
stanfordmlgroup/disentanglement
Official repository for our ICLR 2021 paper Evaluating the Disentanglement of Deep Generative Models with Manifold Topology
stanfordmlgroup/DLBCL-Morph
DLBCL-Morph dataset containing high resolution tissue microarray scans from 209 DLBCL cases, with geometric features computed using deep learning
stanfordmlgroup/USat
stanfordmlgroup/MedSelect
Learns effective selective labeling strategies for medical images using deep reinforcement learning and meta learning
stanfordmlgroup/VisualCheXbert
Addressing the Discrepancy Between Radiology Report Labels and Image Labels
stanfordmlgroup/mobius
stanfordmlgroup/selfsupervised-lungandheartsounds
stanfordmlgroup/methane-gapfill-ml
Python codebase for gap-filling eddy covariance methane fluxes at FLUXNET-CH4 wetlands with machine learning.
stanfordmlgroup/CheXseg
Code used in the paper "CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps for X-ray Segmentation"
stanfordmlgroup/LaunchPad
LaunchPad is a light-weighted Slurm job launcher designed for hyper-parameter search.
stanfordmlgroup/ed-monitor-data
stanfordmlgroup/MedAug
Public release for MedAug
stanfordmlgroup/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
stanfordmlgroup/influenza-qtof
Novel metabolomics approach combined with machine learning for the diagnosis of influenza from nasopharyngeal specimens
stanfordmlgroup/planet-parasol-demo
A tool to explore the effects of stratospheric aerosol injection on the climate
stanfordmlgroup/ed-monitor-myocardial-injury
stanfordmlgroup/VetLLM
Code for VetLLM paper
stanfordmlgroup/Image-Downloader
Download images from Google, Bing, Baidu. 谷歌、百度、必应图片下载.
stanfordmlgroup/InterActive-Learning-Toolkit
stanfordmlgroup/optimizing-vital-signs
stanfordmlgroup/pytorch-examples
Justin Johnson PyTorch Tutorial
stanfordmlgroup/well-pad-denver-permian
Public repository for "Deep learning for detecting and characterizing oil and gas well pads in satellite imagery."