There are 13 repositories under uncertainty-estimation topic.
Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
Natural Gradient Boosting for Probabilistic Prediction
Lightweight, useful implementation of conformal prediction on real data.
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
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)
👋 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
CVPR 2020 - On the uncertainty of self-supervised monocular depth estimation
[ICCV 2021 Oral] Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation
Quantile Regression Forests compatible with scikit-learn.
[CVPR 2022 Oral] Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry
Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.
[ICRA@40] MS-Mapping: An Uncertainty-Aware Large-Scale Multi-Session LiDAR Mapping System
Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.
[CVPR 2024 Award Candidate] Producing and Leveraging Online Map Uncertainty in Trajectory Prediction
[CVPR 2024 Oral, Best Paper Award Candidate] Official repository of "PaSCo: Urban 3D Panoptic Scene Completion with Uncertainty Awareness"
GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty Estimation [IJCV2023]
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).
An extension of CatBoost to probabilistic modelling
Official Implementation for the "Conffusion: Confidence Intervals for Diffusion Models" paper.
[ICCV'23] Sparse Sampling Transformer with Uncertainty-Driven Ranking for Unified Removal of Raindrops and Rain Streaks
Official implementation of "Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision", CVPR Workshops 2020.
QSARtuna: QSAR model building with the optuna framework
Official repository for the paper "Masksembles for Uncertainty Estimation" (CVPR 2021).
An Automatic Differentiation-based Waveform Inversion Framework Implemented in PyTorch.
Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, 2022)
Sandia Uncertainty Quantification Toolkit
A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method