This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.
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Updated
Jun 28, 2024
This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.
[CVPR 2024 Oral - Best paper award candidate] Official repository of "PaSCo: Urban 3D Panoptic Scene Completion with Uncertainty Awareness"
Official code for "Enabling Uncertainty Estimation in Iterative Neural Networks" (ICML 2024)
Code for: Efficient Training of Probabilistic Neural Networks for Survival Analysis (IEEE JBHI 2024)
MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks [BMVC 2022]
Quantile Regression Forests compatible with scikit-learn.
Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models
A Library for Uncertainty Quantification.
(CVPR 2024) Pytorch implementation of “SURE: SUrvey REcipes for building reliable and robust deep networks”
Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.
An extension of LightGBM to probabilistic modelling
GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty Estimation [IJCV2023]
This project provides tools to simulate access strategies and cache-content advertisement schemes for distributed caching.
Implemented the FedAvg Algorithm in Federated Learning. Completed its uncertainty estimation and confidence calibration.
Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
[CVPR 2024 Oral] Producing and Leveraging Online Map Uncertainty in Trajectory Prediction
A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method
Official code for "ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference" (TMLR 2024)
Implementation of the paper "Hubble Meets Webb: Image-to-Image Translation in Astronomy", published in MDPI Sensors
Implements methods to train semantic segmentation networks to perform high-quality uncertainty estimation on distributionally-shifted images.
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