Arbor separates strategy from execution using isolated git worktrees, so engineering teams can finally trace which optimization actually moved the needle.
Machine Learning is concerned with computer programs that automatically improve their performance through experience (e.g., programs that answer questions, diagnose diseases, recommend music and ...
Background Patients with severe aortic stenosis (AS) are at high risk of mortality, regardless of symptom status. Despite this, aortic valve replacement rates remain low for patients with severe AS ...
pyts is a Python package for time series classification. It aims to make time series classification easily accessible by providing preprocessing and utility tools, and implementations of ...
Digital holographic microscopy enables the measurement of the quantitative light field information and the visualization of transparent specimens. It can be implemented for complex amplitude imaging ...
Purpose: Nutritional intervention was always implemented based on “one-size-fits-all” recommendation instead of personalized strategy. We aimed to develop a machine learning based model to predict the ...
Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
The repository contains a PyTorch reproduction of the TM-CTC model from the Deep Audio-Visual Speech Recognition paper. We train three models - Audio-Only (AO), Video-Only (VO) and Audio-Visual (AV), ...
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