Stanford Machine Learning Group

Natural Gradient Boosting for Probabilistic Prediction

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CheXpert NLP tool to extract observations from radiology reports.

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Neural Language Correction implemented on Tensorflow

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

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

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

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

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

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Queue system (jobs) on the deep cluster

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

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