uncertainty-estimation
There are 192 repositories under uncertainty-estimation topic.
uncertainty-toolbox/uncertainty-toolbox
Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
stanfordmlgroup/ngboost
Natural Gradient Boosting for Probabilistic Prediction
awslabs/fortuna
A Library for Uncertainty Quantification.
aangelopoulos/conformal-prediction
Lightweight, useful implementation of conformal prediction on real data.
Renumics/awesome-open-data-centric-ai
Curated list of open source tooling for data-centric AI on unstructured data.
jxzhangjhu/Awesome-LLM-Uncertainty-Reliability-Robustness
Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models
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.
StatMixedML/XGBoostLSS
An extension of XGBoost to probabilistic modelling
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.
IntelLabs/bayesian-torch
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
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)
deel-ai/puncc
đź‘‹ Puncc is a python library for predictive uncertainty quantification using conformal prediction.
StatMixedML/LightGBMLSS
An extension of LightGBM to probabilistic modelling
mattpoggi/mono-uncertainty
CVPR 2020 - On the uncertainty of self-supervised monocular depth estimation
baegwangbin/surface_normal_uncertainty
[ICCV 2021 Oral] Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation
baegwangbin/MaGNet
[CVPR 2022 Oral] Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry
YannDubs/Neural-Process-Family
Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.
zillow/quantile-forest
Quantile Regression Forests compatible with scikit-learn.
Eaphan/GLENet
GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty Estimation [IJCV2023]
joneswack/conformal-predictions-from-scratch
Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.
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).
astra-vision/PaSCo
[CVPR 2024 Oral, Best Paper Award Candidate] Official repository of "PaSCo: Urban 3D Panoptic Scene Completion with Uncertainty Awareness"
JokerJohn/PALoc
[TMECH'2024] Official codes of the paper. PALoc: Advancing SLAM Benchmarking with Prior-Assisted 6-DoF Trajectory Generation and Uncertainty Estimation
StatMixedML/CatBoostLSS
An extension of CatBoost to probabilistic modelling
JokerJohn/MS-Mapping
MS-Mapping: An Uncertainty-Aware Large-Scale Multi-Session LiDAR Mapping System
alfredgu001324/MapUncertaintyPrediction
[CVPR 2024 Award Candidate] Producing and Leveraging Online Map Uncertainty in Trajectory Prediction
eliahuhorwitz/Conffusion
Official Implementation for the "Conffusion: Confidence Intervals for Diffusion Models" paper.
fregu856/evaluating_bdl
Official implementation of "Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision", CVPR Workshops 2020.
Ephemeral182/UDR-S2Former_deraining
[ICCV'23] Sparse Sampling Transformer with Uncertainty-Driven Ranking for Unified Removal of Raindrops and Rain Streaks
nikitadurasov/masksembles
Official repository for the paper "Masksembles for Uncertainty Estimation" (CVPR 2021).
xxxnell/spatial-smoothing
(ICML 2022) Official PyTorch implementation of “Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness”.
borchero/natural-posterior-network
Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, 2022)
pygpc-polynomial-chaos/pygpc
A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method
sandialabs/UQTk
Sandia Uncertainty Quantification Toolkit
asharakeh/probdet
Code for "Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors." (ICLR 2021)
Cogito2012/UString
[ACM MM 2020] Uncertainty-based Traffic Accident Anticipation