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Stanford Machine Learning Group's Projects

aicc-spr20-transportation-hrnet icon aicc-spr20-transportation-hrnet

This is an official implementation of semantic segmentation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

blm icon blm

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

cdr-mimic icon cdr-mimic

Official Repository for our UAI paper Countdown Regression on the MIMIC-III Dataset

chexbert icon chexbert

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

chexphoto icon chexphoto

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

chexseg icon chexseg

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

disentanglement icon disentanglement

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

dlbcl-morph icon dlbcl-morph

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

dq icon dq

Queue system (jobs) on the deep cluster

dwv icon dwv

DICOM Web Viewer: open source zero footprint medical image viewer.

image-downloader icon image-downloader

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

influenza-qtof icon influenza-qtof

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

launchpad icon launchpad

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

lca-data icon lca-data

Captured Dataset for LiverCancerAssistant publication

medselect icon medselect

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

methane-gapfill-ml icon methane-gapfill-ml

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

moco-cxr icon moco-cxr

MoCo-based unsupervised training for Chest X-Ray Interpretation

ngboost icon ngboost

Natural Gradient Boosting for Probabilistic Prediction

nlc icon nlc

Neural Language Correction implemented on Tensorflow

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