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89 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.

Ngboost ⭐ 1,543

Natural Gradient Boosting for Probabilistic Prediction

Uncertainty Toolbox ⭐ 1,421

Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

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.

Xgboostlss ⭐ 453

An extension of XGBoost to probabilistic modelling

Awesome Llm Uncertainty Reliability Robustness ⭐ 407

Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models

Bayesian Torch ⭐ 396

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

Conformal Prediction ⭐ 349

Lightweight, useful implementation of conformal prediction on real data.

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)

👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.

Mono Uncertainty ⭐ 201

CVPR 2020 - On the uncertainty of self-supervised monocular depth estimation

Lightgbmlss ⭐ 179

An extension of LightGBM to probabilistic modelling

Neural Process Family ⭐ 163

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

Catboostlss ⭐ 139

An extension of CatBoost to probabilistic modelling

GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty Estimation

Conformal Predictions From Scratch ⭐ 118

Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.

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.

Quantile Forest ⭐ 70

Quantile Regression Forests compatible with scikit-learn.

Sandia Uncertainty Quantification Toolkit

A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method

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"

[ACM MM 2020] Uncertainty-based Traffic Accident Anticipation

Spatial Smoothing ⭐ 51

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

(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.

Code for "Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors." (ICLR 2021)

This repository contains an official implementation of LPBNN.

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.

Bayescap ⭐ 32

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

Relative Uncertainty Learning ⭐ 31

Relative Uncertainty Learning

Grumodepth ⭐ 30

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

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.

Affineinvariantmcmc.jl ⭐ 29

Affine Invariant Markov Chain Monte Carlo (MCMC) Ensemble sampler

Graph Posterior Network ⭐ 27

Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification (NeurIPS 2021)

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

Conformal Metalearners ⭐ 26

[ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"

Zero Shot Counting ⭐ 26

CVPR2023 Zero-shot Counting

Muad Dataset ⭐ 23

MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks [BMVC 2022]

Uncrtaints ⭐ 23

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)

pyPCGA: fast and scalable inverse modeling approach

Noisy K Fac ⭐ 20

Natural Gradient, Variational Inference

Awesome Failure Detection ⭐ 18

A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)

Temporal Smoothing ⭐ 16

(AAAI 2021) Official TensorFlow implementation of "Vector Quantized Bayesian Neural Network Inference for Data Streams", a temporal smoothing for efficient uncertainty estimation

ProbVLM: Probabilistic Adapter for Frozen Vision-Language Models

Densereconstruction Pytorch ⭐ 15

Official Repo for the paper "Reconstructing Sinus Anatomy from Endoscopic Video -- Towards a Radiation-free Approach for Quantitative Longitudinal Assessment" (MICCAI 2020)

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'

Protein Uq ⭐ 13

Benchmarking uncertainty quantification methods on proteins.

Py Boostlss ⭐ 13

An extension of Py-Boost to probabilistic modelling

Mose Auseg ⭐ 13

The official code repo for the paper "Mixture of Stochastic Experts for Modeling Aleatoric Uncertainty in Segmentation". (ICLR 2023)

Pycaplunar ⭐ 13

pyCAPLunar is a python package to determine the moment tensor of earthquake sources and their uncertainty by using the 3D receiver-side SGT database.

Latent Discriminant deterministic Uncertainty [ECCV2022]

Transmission Bvm ⭐ 12

Dataset and code of our AAAI2022 paper "Transmission-Guided Bayesian Generative Model for Smoke Segmentation"

Data-driven risk-conscious thermoelectric materials discovery

Mimo Unet ⭐ 10

PyTorch implementation of Probabilistic MIMO U-Net

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.

Official implementation of SEDNet (CVPR 2023)

Structural Graph Shifts ⭐ 8

Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts (NeurIPS 2023)

Datavizstudies ⭐ 8

Repository for studies on data visualization in weather/climate science

Deeplabv3plus Muad Pytorch ⭐ 8

Deeplab V3+ on the MUAD dataset

Deep Split Ensembles ⭐ 8

Why have a Unified Uncertainty? Disentangling it using Deep Split Ensembles

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.

Modelling heterogeneous distributions with an Uncountable Mixture of Asymmetric Laplacians

Dum Components ⭐ 6

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

NOMU: Neural Optimization-based Model Uncertainty

Slurp_uncertainty_estimate ⭐ 6

The implementations for SLURP: Side Learning Uncertainty for Regression Problems (BMVC 2021)

Gaussiandenoisingposterior ⭐ 6

We derive a fundamental property of the posterior distribution in Gaussian denoising, and use it to propose a new way for uncertainty visualization, which requires no training or fine-tuning.

Plotting Uncertainty Ellipses ⭐ 5

This Jupyter notebook demonstrates how to properly plot uncertainty (confidence) ellipses for 2D normally distributed data.

MUBen: Benchmarking the Uncertainty of Pre-Trained Models for Molecular Property Prediction

Plausible Uncertainties ⭐ 5

Methods used in the paper "Plausible Uncertainties for Human Pose Regression".

Know Your Limits ⭐ 5

Repository for UAI 2021 paper "Know Your Limits: Uncertainty Estimation with ReLU Classifiers Fail at Reliable OOD Detection".

Layerensembles ⭐ 5

The source code for the Layer Ensembles paper published in MICCAI 2022 (Singapore).

Tutorial materials for Social Simulation Fest 2021

Calibrated Bert Fine Tuning ⭐ 5

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

1-89 of 89 search results

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