Stanford Machine Learning Group

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

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Popular pages

METER-ML: A Multi-sensor Earth Observation Benchmark for Automated Methane Source Mapping
Earth Observation Benchmark for Methane Source Mapping.
User Guide
User Guide Welcome to the NGBoost user guide!Details on available distributions, scoring rules, learners, tuning, and model interpretation are ava...
NGBoost: Natural Gradient Boosting for Probabilistic Prediction
NGBoost: Natural Gradient Boosting for Probabilistic Prediction.
Usage
Usage We'll start with a probabilistic regression example on the Boston housing dataset: from ngboost import NGBRegressorfrom sklearn.datasets ...
OGNet: Towards a Global Oil and Gas Infrastructure Database using Deep Learning on Remotely Sensed
Constructing and Oil and Gas Infrastructure Database using Deep Learning.
Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a
We developed a deep neural network which can diagnose irregular heart rhythms, also known as arrhythmias, from single-lead ECG signals at a high diagnostic performance similar to that of cardiologists...