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 56
akashmondal1810 / UncertaintyEstimation
Uncertainty Estimation Using Deep Neural Network and Gradient Boosting Methods
uncertainty-estimation bayesian-deep-learning bayesian-inference monte-carlo-dropout deep-ensemble predictive-uncertainty xgboost probabilistic-models
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 21
ronaldseoh / bayesian-dl-experiments
Bayesian deep learning experiments
bayesian-deep-learning deep-learning monte-carlo-dropout bayesian-neural-network reproducibility experiments pyro pytorch dropout jupyter-notebook mcmc hmc vi variational-inference convolutional-neural-network bayesian-dl-experiments
Language:Jupyter Notebook 8
ronaldseoh / ronald_bdl
An experimental Python package for learning Bayesian Neural Network.
bayesian-deep-learning deep-learning monte-carlo-dropout mc-dropout bayesian-neural-network pytorch pyro hmc vi variational-inference hamiltonian-monte-carlo
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
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 3
ronaldseoh / DropoutUncertaintyExps
(Forked Version) Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"
bayesian-deep-learning deep-learning monte-carlo-dropout dropout mc-dropout bayesian-neural-network reproducibility keras jupyter-notebook
Language:Jupyter Notebook 3
lorenzobandini / U-ProBE
Analyzing deep learning models with uncertainty in predictions
customtkinter deep-learning gui post-hoc python monte-carlo-dropout pytorch trust-score uncertainty-quantification
Language:Python 1
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