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Search results for pytorch uncertainty estimation

uncertainty-estimation x

19 search results found

Bayesian Torch ⭐ 396

A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch

Neural Process Family ⭐ 163

Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.

Evaluating_bdl ⭐ 70

Official implementation of "Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision", CVPR Workshops 2020.

Natural Posterior Network ⭐ 59

Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, 2022)

Spatial Smoothing ⭐ 51

(ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness”.

Conffusion ⭐ 37

Official Implementation for the "Conffusion: Confidence Intervals for Diffusion Models" paper.

This repository contains an official implementation of LPBNN.

Distinction Maximization Loss ⭐ 34

Improve out-of-distribution detection (open set recognition) and uncertainty estimation by changing a few lines of code in your project! Perform efficient inferences (i.e., do not increase inference time) without repetitive model training, hyperparameter tuning, or collecting additional data.

Conformal Risk ⭐ 33

Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vision and natural language processing.

Nlp Uncertainty Zoo ⭐ 32

Model zoo for different kinds of uncertainty quantification methods used in Natural Language Processing, implemented in PyTorch.

Relative Uncertainty Learning ⭐ 31

Relative Uncertainty Learning

Im2im Uq ⭐ 29

Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images with rigorous, distribution-free uncertainty quantification.

Slex Net ⭐ 22

[IEEE-JBHI'2022] Hematoma Expansion Context Guided Intracranial Hemorrhage Segmentation and Uncertainty Estimation(Pytorch)

ProbVLM: Probabilistic Adapter for Frozen Vision-Language Models

Uncertainty Estimation Diabeticretinopathy ⭐ 10

Estimating uncertainty of neural networks for automated screening of Diabetic Retinopathy using the PyTorch framework. Generated visual explanation of the deep learning system to convey the pixels in the image that influences its decision Integrated Gradient method.

Robust Deep Learning ⭐ 9

Train your model from scratch or fine-tune a pretrained model using the losses provided in this library to improve out-of-distribution detection and uncertainty estimation performances. Calibrate your model to produce enhanced uncertainty estimations. Detect out-of-distribution data using the defined score type and threshold.

Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series

Regression_uncertainty ⭐ 8

Official implementation of "How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts?", 2023.

Dum Components ⭐ 6

Training, Architecture, and Prior for Deterministic Uncertainty Methods (ICLR 2023 Workshop on Trustworthy ML)

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