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34 search results found

Awesome Conformal Prediction ⭐ 3,097

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

Fortuna ⭐ 824

A Library for Uncertainty Quantification.

Awesome Open Data Centric Ai ⭐ 630

Curated list of open source tooling for data-centric AI on unstructured data.

Deep Learning Uncertainty ⭐ 479

Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.

Bayesian Torch ⭐ 396

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

Awesome Uncertainty Deeplearning ⭐ 329

This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.

Mixture Density Networks For Distribution And Uncertainty Estimation ⭐ 225

A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)

Neural Process Family ⭐ 163

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

Udr S2former_deraining ⭐ 102

[ICCV'23] Sparse Sampling Transformer with Uncertainty-Driven Ranking for Unified Removal of Raindrops and Rain Streaks

Masksembles ⭐ 90

Official repository for the paper "Masksembles for Uncertainty Estimation" (CVPR2021).

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)

Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors

Surface_normal_uncertainty ⭐ 54

(ICCV 2021 - oral) Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation

Code for paper "Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning"

(CVPR 2022 - oral) Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry

Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.

Monodepth Uncertainty ⭐ 39

Inferring distributions over depth from a single image, IROS 2019

Conffusion ⭐ 37

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

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.

This repository contains an official implementation of LPBNN.

Bayescap ⭐ 32

(ECCV 2022) BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks

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

Grumodepth ⭐ 30

Gradient-based Uncertainty for Monocular Depth Estimation (ECCV 2022)

Official implementation of the paper "PIVEN: A Deep Neural Network for Prediction Intervals with Specific Value Prediction" by Eli Simhayev, Gilad Katz and Lior Rokach

Gedi Bdl ⭐ 22

This repository provides the code used to create the results presented in "Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles".

Slex Net ⭐ 22

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

Uncertaintyfusenet For Covid 19 Classification ⭐ 14

Code implementation of 'UncertaintyFuseNet: Robust Uncertainty-aware Hierarchical Feature Fusion with Ensemble Monte Carlo Dropout for COVID-19 Detection'

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.

Regression_uncertainty ⭐ 8

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

Modelling heterogeneous distributions with an Uncountable Mixture of Asymmetric Laplacians

NOMU: Neural Optimization-based Model Uncertainty

Dum Components ⭐ 6

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

Calibrated Bert Fine Tuning ⭐ 5

Code for Paper: Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data

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