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uncertainty-estimation

Here are 205 public repositories matching this topic...

uncertainty-toolbox

uncertainty-toolbox / uncertainty-toolbox

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

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

Updated Jul 9, 2024
Python

stanfordmlgroup / ngboost

Natural Gradient Boosting for Probabilistic Prediction

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

Updated Oct 29, 2024
Python

fortuna

awslabs / fortuna

A Library for Uncertainty Quantification.

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

Updated Dec 24, 2024
Python

aangelopoulos / conformal-prediction

Lightweight, useful implementation of conformal prediction on real data.

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

Updated Mar 24, 2024
Jupyter Notebook

awesome-open-data-centric-ai

Renumics / awesome-open-data-centric-ai

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

Updated Nov 15, 2023

jxzhangjhu / Awesome-LLM-Uncertainty-Reliability-Robustness

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

reliability calibration safety awesome-list uncertainty-quantification uncertainty-estimation robustness hallucination gpt-3 gpt-4 in-context-learning large-language-models prompt-engineering prompting llms chain-of-thought chatgpt

Updated Jun 18, 2024

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

Updated Aug 1, 2022
Jupyter Notebook

ENSTA-U2IS-AI / awesome-uncertainty-deeplearning

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

machine-learning awesome deep-neural-networks deep-learning uncertainty-neural-networks uncertainty-quantification uncertainty-estimation uncertainty-analysis awesome-resources deep-learning-tutorials

Updated Dec 6, 2024

StatMixedML / XGBoostLSS

An extension of XGBoost to probabilistic modelling

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

Updated Jul 14, 2024
Python

IntelLabs / bayesian-torch

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

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

Updated Dec 3, 2024
Python

valeman / awesome-conformal-prediction

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

python machine-learning awesome r probability uncertainty datascience probability-distribution awesome-list machinelearning deeplearning probability-distributions uncertainty-quantification uncertainty-estimation conformal-prediction

Updated Dec 25, 2024

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

Updated Jun 30, 2017
Jupyter Notebook

deel-ai / puncc

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

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

Updated Dec 16, 2024
Python

StatMixedML / LightGBMLSS

An extension of LightGBM to probabilistic modelling

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

Updated Jun 11, 2024
Python

JokerJohn / PALoc

[TMECH'2024] Official codes of ”PALoc: Advancing SLAM Benchmarking with Prior-Assisted 6-DoF Trajectory Generation and Uncertainty Estimation“

uncertainty-estimation uncertainty-propagation gtsam prior-map pose-graph-optimization groundtruth slam-benchmarcking slam-dataset lidar-localization lidar-degeneracy zupt

Updated Dec 25, 2024
C++

mattpoggi / mono-uncertainty

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

uncertainty-estimation monocular-depth cvpr2020

Updated Oct 3, 2023
Python

baegwangbin / surface_normal_uncertainty

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

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

Updated Aug 18, 2022
Python

zillow / quantile-forest

Quantile Regression Forests compatible with scikit-learn.

python machine-learning random-forest uncertainty-estimation quantile-regression scikit-learn-api prediction-intervals quantile-regression-forests

Updated Dec 15, 2024
Python

baegwangbin / MaGNet

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

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

Updated Jun 20, 2022
Python

Neural-Process-Family

YannDubs / Neural-Process-Family

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

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

Updated Jun 12, 2024
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