Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models
-
Updated
Jun 18, 2024
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.
Official code for "Enabling Uncertainty Estimation in Iterative Neural Networks" (ICML 2024)
(CVPR 2024) Pytorch implementation of “SURE: SUrvey REcipes for building reliable and robust deep networks”
[CVPR 2024 Oral - Best paper award candidate] Official repository of "PaSCo: Urban 3D Panoptic Scene Completion with Uncertainty Awareness"
Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.
An extension of LightGBM to probabilistic modelling
Quantile Regression Forests compatible with scikit-learn.
A Library for Uncertainty Quantification.
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.
Affine Invariant Markov Chain Monte Carlo (MCMC) Ensemble sampler
Mathematica notebook for h-statistics based MC and MLMC covariance estimation
Add a description, image, and links to the uncertainty-estimation topic page so that developers can more easily learn about it.
To associate your repository with the uncertainty-estimation topic, visit your repo's landing page and select "manage topics."