Topic: monte-carlo-dropout Goto Github
Some thing interesting about monte-carlo-dropout
Some thing interesting about monte-carlo-dropout
monte-carlo-dropout,Uncertainty Estimation Using Deep Neural Network and Gradient Boosting Methods
User: akashmondal1810
monte-carlo-dropout,Comparison of a network implemented via Variational Inference with the same network implemented via Monte Carlo Dropout
User: federicovasile1
monte-carlo-dropout,A Deep Learning Neural Network that classifies Vector Like Quarks from background events using generated collider data
User: gilbertocunha
monte-carlo-dropout,🤔 Methods for measuring and visualising the uncertainty in neural networks
User: harrisonpim
Home Page: https://harrisonpim.com/blog/reasons-for-uncertainty-in-neural-networks
monte-carlo-dropout,Epistemic uncertainty, sometimes referred to as model uncertainty, describes what the model does not know because training data was not appropriate. Modelling epistemic uncertainty is crucial to prevent ill advised discussion making due to over confident models.
User: jortdejong13
monte-carlo-dropout,An NLP Model used for automated assignment of bug reports to the relevant engineering team. Utilizes a novel confidence bounding approach - Monte Carlo Dropout, and assigns underconfident predictions to a queue for human review. Built for Pegasystems Inc.
User: kenneym
monte-carlo-dropout,Probabilistic approach to neural nets - modern scalable approximate inference methods
User: lpcinelli
monte-carlo-dropout,PyTorch implementation of landmark-based facial expression recognition using Spatio-Temporal BiLinear Networks (ST-BLN)
User: negarhdr
monte-carlo-dropout,Bayesian deep learning experiments
User: ronaldseoh
monte-carlo-dropout,An experimental Python package for learning Bayesian Neural Network.
User: ronaldseoh
monte-carlo-dropout,A pytorch implementation of MCDO(Monte-Carlo Dropout methods)
User: sungyubkim
monte-carlo-dropout,All the material needed to use MC-CP and the Adaptive MC Dropout method
User: team-daniel
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