uncertainty-quantification

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

#大语言模型#UQLM: Uncertainty Quantification for Language Models, is a Python package for UQ-based LLM hallucination detection

Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.

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

#自然语言处理#Lightweight, useful implementation of conformal prediction on real data.

#计算机科学#A Library for Uncertainty Quantification.

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

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

#计算机科学#A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc...

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

#计算机科学#A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch

#计算机科学#Python package for conformal prediction

Chaospy - Toolbox for performing uncertainty quantification.

Open-source framework for uncertainty and deep learning models in PyTorch 🌱

A Python toolbox for conformal prediction research on deep learning models, using PyTorch.

👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.

UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.

#计算机科学#DeepHyper: A Python Package for Massively Parallel Hyperparameter Optimization in Machine Learning

Probabilistic modelling and uncertainty quantification library

#计算机科学#Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty in machine learning model predictions.