Projects in Awesome Lists tagged with uncertainty-estimation

https://github.com/uncertainty-toolbox/uncertainty-toolbox

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

bayesian-deep-learning bayesian-neural-networks calibration metrics predictive-uncertainty recalibration scoring-rules sharpness toolbox uncertainty uncertainty-calibration uncertainty-estimation uncertainty-metrics uncertainty-quantification uncertainty-toolbox visualization visualizations

Last synced: 19 Dec 2024

https://github.com/stanfordmlgroup/ngboost

Natural Gradient Boosting for Probabilistic Prediction

gradient-boosting machine-learning natural-gradients ngboost python uncertainty-estimation

Last synced: 10 Nov 2024

https://github.com/awslabs/fortuna

A Library for Uncertainty Quantification.

ai bayesian-inference calibration conformal-prediction deep-learning flax jax machine-learning ml model-calibration neural-networks uncertainty uncertainty-calibration uncertainty-estimation uncertainty-quantification

Last synced: 30 Oct 2024

https://github.com/aangelopoulos/conformal-prediction

Lightweight, useful implementation of conformal prediction on real data.

computer-vision conformal conformal-inference conformal-prediction distribution-shift natural-language-processing time-series time-series-prediction uncertainty uncertainty-estimation uncertainty-quantification

Last synced: 05 Nov 2024

https://github.com/AlaaLab/deep-learning-uncertainty

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

deep-learning deep-neural-networks prediction-uncertainty uncertainty-estimation uncertainty-quantification

Last synced: 25 Oct 2024

https://github.com/statmixedml/xgboostlss

An extension of XGBoost to probabilistic modelling

distributional-regression gamlss machine-learning mixture-density-model multi-target-regression normalizing-flows prediction-intervals probabilistic-forecasts uncertainty-estimation xgboost

Last synced: 17 Dec 2024

https://github.com/intellabs/bayesian-torch

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

bayesian-deep-learning bayesian-inference bayesian-layers bayesian-neural-networks deep-learning deep-neural-networks pytorch stochastic-variational-inference uncertainty-estimation uncertainty-neural-networks uncertainty-quantification

Last synced: 08 Dec 2024

https://github.com/axelbrando/mixture-density-networks-for-distribution-and-uncertainty-estimation

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

deep-learning deep-neural-networks keras master-thesis mdn mixture mixture-density-model mixture-density-networks neural-network tensorflow tensorflow-experiments uncertainty-estimation

Last synced: 17 Dec 2024

https://github.com/deel-ai/puncc

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

conformal-inference conformal-prediction conformal-regressors uncertainty-estimation uncertainty-quantification

Last synced: 12 Nov 2024

https://github.com/statmixedml/lightgbmlss

An extension of LightGBM to probabilistic modelling

distributional-regression gamlss lightgbm machine-learning mixture-density-model normalizing-flows prediction-intervals probabilistic-forecasting uncertainty-estimation

Last synced: 17 Dec 2024

https://github.com/baegwangbin/surface_normal_uncertainty

[ICCV 2021 Oral] Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation

3d-reconstruction computer-vision deep-learning iccv2021 surface-normal surface-normals surface-normals-estimation uncertainty uncertainty-estimation

Last synced: 19 Dec 2024

https://github.com/baegwangbin/magnet

[CVPR 2022 Oral] Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry

3d-reconstruction computer-vision cvpr2022 deep-learning depth-estimation multi-view-stereo multiview-geometry multiview-stereo uncertainty uncertainty-estimation

Last synced: 19 Dec 2024

https://github.com/baegwangbin/MaGNet

[CVPR 2022 Oral] Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry

3d-reconstruction computer-vision cvpr2022 deep-learning depth-estimation multi-view-stereo multiview-geometry multiview-stereo uncertainty uncertainty-estimation

Last synced: 04 Nov 2024

https://github.com/yanndubs/neural-process-family

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

conditional-neural-process deep-learning machine-learning meta-learning neural-processes pytorch stochastic-processes uncertainty-estimation

Last synced: 18 Dec 2024

https://github.com/Eaphan/GLENet

GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty Estimation [IJCV2023]

3d-object-detection generative-model machine-learning probabilistic-models uncertainty-estimation

Last synced: 28 Oct 2024

https://github.com/google/TrustScore

To Trust Or Not To Trust A Classifier. A measure of uncertainty for any trained (possibly black-box) classifier which is more effective than the classifier's own implied confidence (e.g. softmax probability for a neural network).

uncertainty-estimation uncertainty-neural-networks

Last synced: 05 Nov 2024

https://github.com/joneswack/conformal-predictions-from-scratch

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

conformal-prediction machine-learning numpy python uncertainty-estimation

Last synced: 17 Nov 2024

https://github.com/statmixedml/catboostlss

An extension of CatBoost to probabilistic modelling

catboost distributional-regression gamlss machine-learning prediction-intervals probabilistic-forecasts uncertainty-estimation

Last synced: 03 Dec 2024

https://github.com/eliahuhorwitz/conffusion

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

computer-vision conformal-prediction deep-learning diffusion diffusion-models generative-model image-generation image-to-image inpainting prediction-intervals pytorch quantile-regression super-resolution uncertainty-estimation uncertainty-quantification

Last synced: 10 Nov 2024

https://github.com/MolecularAI/QSARtuna

QSARtuna: QSAR model building with the optuna framework

chemprop compchem computational-chemistry explainability hyperparameter-optimization optuna peptide-modelling qsar qsar-models uncertainty-estimation

Last synced: 26 Sep 2024

https://github.com/borchero/natural-posterior-network

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

bayesian-deep-learning deep-learning machine-learning pytorch uncertainty-estimation

Last synced: 09 Dec 2024

https://github.com/xxxnell/spatial-smoothing

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

bayesian-deep-learning bayesian-neural-networks neural-network pytorch robustness uncertainty uncertainty-estimation uncertainty-quantification

Last synced: 15 Nov 2024

https://github.com/sandialabs/uqtk

Sandia Uncertainty Quantification Toolkit

bayesian-inference mcmc mcmc-methods mcmc-sampler scr-1380 snl-data-analysis snl-science-libs surrogate-models uncertainty uncertainty-estimation uncertainty-propagation uncertainty-quantification uq

Last synced: 12 Nov 2024

https://github.com/aangelopoulos/conformal-risk

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

computer-vision conformal conformal-prediction natural-language-processing python pytorch pytorch-implementation uncertainty-estimation uncertainty-quantification

Last synced: 05 Nov 2024

https://github.com/YutingLi0606/SURE

(CVPR 2024) Pytorch implementation of “SURE: SUrvey REcipes for building reliable and robust deep networks”

data-corruption failure-prediction label-noise long-tailed-distribution uncertainty-estimation

Last synced: 05 Nov 2024

https://github.com/kaleidophon/nlp-uncertainty-zoo

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

deep-learning lstm nlp nlp-machine-learning package python pytorch rnn transformers uncertainty-estimation uncertainty-neural-networks uncertainty-quantification

Last synced: 03 Dec 2024

https://github.com/dlmacedo/distinction-maximization-loss

A project to 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.

ai-safety anomaly-detection classification deep-learning machine-learning novelty-detection ood ood-detection open-set open-set-recognition osr out-of-distribution out-of-distribution-detection pytorch robust-machine-learning trustworthy-ai trustworthy-machine-learning uncertainty-estimation

Last synced: 05 Nov 2024

https://github.com/Lingkai-Kong/Calibrated-BERT-Fine-Tuning

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

bert calibration deep-learning language-model nlp nlp-machine-learning ood-detection open-world-classification robustness text-classification uncertainty-estimation uncertainty-quantification

Last synced: 13 Nov 2024

https://github.com/madsjulia/AffineInvariantMCMC.jl

Affine Invariant Markov Chain Monte Carlo (MCMC) Ensemble sampler

affine-invariance ensemble-sampler high-performance-computing julia mads markov-chain markov-chain-monte-carlo mcmc monte-carlo-simulation uncertainty uncertainty-estimation uncertainty-quantification

Last synced: 13 Nov 2024

https://github.com/dlr-mi/utrack

Multi-Object Tracking with Uncertain Detections [ECCV 2024 UnCV]

multi-object-tracking multi-pedestrian-tracking pytorch tracking-by-detection uncertainty-estimation uncertainty-propagation uncertainty-quantification yolov8

Last synced: 16 Nov 2024

https://github.com/madsjulia/affineinvariantmcmc.jl

Affine Invariant Markov Chain Monte Carlo (MCMC) Ensemble sampler

affine-invariance ensemble-sampler high-performance-computing julia mads markov-chain markov-chain-monte-carlo mcmc monte-carlo-simulation uncertainty uncertainty-estimation uncertainty-quantification

Last synced: 09 Nov 2024

https://github.com/elisim/piven

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.

deep-learning prediction-intervals regression tensorflow uncertainty-estimation

Last synced: 22 Nov 2024

https://github.com/gd-zhang/noisy-k-fac

Natural Gradient, Variational Inference

bayesian-inference bayesian-neural-networks natural-gradients uncertainty-estimation variational-inference

Last synced: 07 Nov 2024

https://github.com/bond005/yandex-shifts-weather

The best solution of the Weather Prediction track in the Yandex Shifts challenge

deep-ensemble deep-learning hierarchical-multitask-learning multitask-learning regression self-normalizing-neural-networks shifts uncertainty uncertainty-estimation yandex-shifts-challenge

Last synced: 28 Oct 2024

https://github.com/statmixedml/py-boostlss

An extension of Py-Boost to probabilistic modelling

distributional-regression gamlss gradient-boosting-machine machine-learning multi-target-regression probabilistic-modeling quantile-estimation uncertainty-estimation

Last synced: 03 Dec 2024

https://github.com/antonbaumann/mimo-unet

PyTorch implementation of Probabilistic MIMO U-Net

deep-ensemble u-net uncertainty-analysis uncertainty-estimation uncertainty-neural-networks uncertainty-quantification

Last synced: 12 Dec 2024

https://github.com/dlmacedo/robust-deep-learning

A project to 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.

anomaly-detection classification deep-learning deep-neural-networks machine-learning novelty-detection ood-detection open-set open-set-recognition out-of-distribution out-of-distribution-detection pytorch robust-deep-learning robust-machine-learning trustworthy-ai trustworthy-machine-learning uncertainty-calibration uncertainty-estimation uncertainty-neural-networks