uncertainty-estimation

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

Natural Gradient Boosting for Probabilistic Prediction

UQLM: Uncertainty Quantification for Language Models, is a Python package for UQ-based LLM hallucination detection

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

Lightweight, useful implementation of conformal prediction on real data.

A Library for Uncertainty Quantification.

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

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

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

An extension of XGBoost to probabilistic modelling

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

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

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

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.

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

An extension of LightGBM to probabilistic modelling

[ICRA@40] MS-Mapping: An Uncertainty-Aware Large-Scale Multi-Session LiDAR Mapping System

[CVPR 2024 Award Candidate] Producing and Leveraging Online Map Uncertainty in Trajectory Prediction

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