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Search results for neural network uncertainty quantification
neural-network
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uncertainty-quantification
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4 search results found
Fortuna
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824
A Library for Uncertainty Quantification.
Bayesflow
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216
A Python library for amortized Bayesian workflows using generative neural networks.
Conformal_classification
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159
Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).
Torch Uncertainty
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132
Uncertainty for deep learning models in PyTorch 🌱
Uq_bnn
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79
Uncertainty quantification using Bayesian neural networks in classification
Dun
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52
Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)
Spatial Smoothing
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51
(ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness”.
Uncertainty Wizard
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39
Uncertainty-Wizard is a plugin on top of tensorflow.keras, allowing to easily and efficiently create uncertainty-aware deep neural networks. Also useful if you want to train multiple small models in parallel.
Sde Net
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32
Code for paper: SDE-Net: Equipping Deep Neural network with Uncertainty Estimates
Modeling Uncertainty Local Explainability
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16
Local explanations with uncertainty 💐!
Miles Guess
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11
Machine learning models for estimating aleatoric and epistemic uncertainty with evidential and ensemble methods.
Rio Paper
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8
Code and supporting materials for the ICLR 2020 RIO paper
Nomu
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6
NOMU: Neural Optimization-based Model Uncertainty
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