A Library for Uncertainty Quantification.

RAVEN is a flexible and multi-purpose probabilistic risk analysis, validation and uncertainty quantification, parameter optimization, model reduction and data knowledge-discovering framework.

[ICCV 2021 Oral] Deep Evidential Action Recognition

a modeling environment tailored to parameter estimation in dynamical systems

A phenology modelling framework in R

Delta hedging under SABR model

[CVPR 2023] Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection

Official code for "On Calibrating Diffusion Probabilistic Models"

A toolbox for the calibration and evaluation of simulation models.

pycalibrate is a Python library to visually analyze model calibration in Jupyter Notebooks

Codebase for "A Consistent and Differentiable Lp Canonical Calibration Error Estimator", published at NeurIPS 2022.

Parameter estimation and model calibration using Genetic Algorithm optimization in Python.

HypeLoRA: Hypernetwork-Generated LoRA Adapters for Calibrated Language Model Fine-Tuning

[MICCAI2022] Estimating Model Performance under Domain Shifts with Class-Specific Confidence Scores.

Simulating and Optimising Dynamical Models in Python 3

This is the official PyTorch codebase for the ACL 2023 paper: "What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization".

System Dynamics Review (2021)

ARBO is a Matlab/C++ package for simulation and analysis of arbovirus nonlinear dynamics.

An R package to produce standard graphs for HEC-RAS models.

An efficient Java™ solver implementation for SBML

In this project, I analyze, plot and clean Tanzania's Water Pump Dataset, which is provided by DrivenData.org for a competition.

Official code for "Exploring and exploiting model uncertainty for robust visual question answering"

[ICLR'26] Official code for "A-TPT: Angular Diversity Calibration Properties for Test-Time Prompt Tuning of Vision-Language Models"

Calibration of the significant Social Force Parameters in Vissim

A collection of time-efficient state estimation algorithms for the medium-fidelity WindFarmSimulator (WFSim) control model

A python package for fitting ViennaPS models to experimental data.

Calibration of a wind erosion model using remote sensing-derived vegetation characteristics

An overview about PROFOUND code, data, protocols and algorithms for interfacing, calibrating and comparing forest models

Immutable calibration datasets for AstroCrown ACS Monte Carlo — market data, fees, oracle telemetry, supply/emission.

Pricing energy options (focus on German power) with MC and jump-diffusion mean-reversion model, including stochastic volatility, seasonality and regime filtering. Model parameters are calibrated on historical ENTSO-e data.