monte-carlo-dropout

There are 3 repositories under monte-carlo-dropout topic.

sungyubkim / MCDO
A pytorch implementation of MCDO(Monte-Carlo Dropout methods)
bayesian-neural-networks bayesian-deep-learning variational-inference dropout variational-dropout uncertainty-neural-networks pytorch monte-carlo-dropout
Language:Jupyter Notebook 54
akashmondal1810 / UncertaintyEstimation
Uncertainty Estimation Using Deep Neural Network and Gradient Boosting Methods
bayesian-deep-learning bayesian-inference deep-ensemble monte-carlo-dropout predictive-uncertainty probabilistic-models uncertainty-estimation xgboost
Language:Python 23
team-daniel / MC-CP
All the material needed to use MC-CP and the Adaptive MC Dropout method
conformal-prediction monte-carlo-dropout uncertainty-quantification
Language:Jupyter Notebook 19
ronaldseoh / bayesian-dl-experiments
Bayesian deep learning experiments
bayesian-deep-learning bayesian-dl-experiments bayesian-neural-network convolutional-neural-network deep-learning dropout experiments hmc jupyter-notebook mcmc monte-carlo-dropout pyro pytorch reproducibility variational-inference vi
Language:Jupyter Notebook 8
ronaldseoh / ronald_bdl
An experimental Python package for learning Bayesian Neural Network.
bayesian-deep-learning bayesian-neural-network deep-learning hamiltonian-monte-carlo hmc mc-dropout monte-carlo-dropout pyro pytorch variational-inference vi
Language:Python 6
kenneym / bug_classification_research
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.
machine-learning rest-api nlp monte-carlo-dropout tensorflow mlops
Language:Jupyter Notebook 5
negarhdr / FER_PSTBLN_MCD
PyTorch implementation of landmark-based facial expression recognition using Spatio-Temporal BiLinear Networks (ST-BLN)
convolutional-neural-networks deep-learning facial-expression-recognition graph-convolutional-networks machine-learning monte-carlo-dropout
Language:Python 4
ronaldseoh / DropoutUncertaintyExps
(Forked Version) Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"
bayesian-deep-learning bayesian-neural-network deep-learning dropout jupyter-notebook keras mc-dropout monte-carlo-dropout reproducibility
Language:Jupyter Notebook 3
FedericoVasile1 / bayesian-cnn
Comparison of a network implemented via Variational Inference with the same network implemented via Monte Carlo Dropout
image-recognition convolutional-neural-networks bayesian-inference bayes bayesian-neural-networks bayesian-deep-learning bayes-by-backprop monte-carlo-dropout variational-inference
Language:Jupyter Notebook 2
lpcinelli / probabilistic-nn
Probabilistic approach to neural nets - modern scalable approximate inference methods
bayesian-neural-networks variational-inference approximate-inference monte-carlo-dropout expectation-propagation
Language:Jupyter Notebook 1
JortdeJong13 / epistemic-uncertainty
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.
model-confidence monte-carlo-dropout out-of-distribution-detection polyp-segmentation segmentation uncertainty variational-autoencoder
Language:Jupyter Notebook 0
GilbertoCunha / LHC-VLQ-Classifier
A Deep Learning Neural Network that classifies Vector Like Quarks from background events using generated collider data
deep-neural-networks quarks particle-physics monte-carlo-dropout
Language:Jupyter Notebook
harrisonpim / uncertainty
🤔 Methods for measuring and visualising the uncertainty in neural networks
laplace-approximation machine-learning matplotlib mnist monte-carlo-dropout neural-network pytorch uncertainty-estimation
Language:Jupyter Notebook