model-calibration
There are 40 repositories under model-calibration topic.
awslabs/fortuna
A Library for Uncertainty Quantification.
idaholab/raven
RAVEN is a flexible and multi-purpose probabilistic risk analysis, validation and uncertainty quantification, parameter optimization, model reduction and data knowledge-discovering framework.
Cogito2012/DEAR
[ICCV 2021 Oral] Deep Evidential Action Recognition
jialuechen/tfq-finance
Quantum Finance Library
Data2Dynamics/d2d
a modeling environment tailored to parameter estimation in dynamical systems
IntelLabs/AVUC
Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.
bluegreen-labs/phenor
A phenology modelling framework in R
akhtarvision/bpc_calibration
[CVPR 2023] Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection
thudzj/Calibrated-DPMs
Official code for "On Calibrating Diffusion Probabilistic Models"
bradleyboyuyang/Optimal-Hedging
Delta hedging under SABR model
VIDA-NYU/pycalibrate
pycalibrate is a Python library to visually analyze model calibration in Jupyter Notebooks
tpopordanoska/ece-kde
Codebase for "A Consistent and Differentiable Lp Canonical Calibration Error Estimator", published at NeurIPS 2022.
blakeaw/GAlibrate
Parameter estimation and model calibration using Genetic Algorithm optimization in Python.
ZerojumpLine/ModelEvaluationUnderClassImbalance
[MICCAI2022] Estimating Model Performance under Domain Shifts with Class-Specific Confidence Scores.
twallema/pySODM
Simulating and Optimising Dynamical Models in Python 3
griff4692/calibrating-summaries
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".
jandraor/SDR_Bayes
System Dynamics Review (2021)
americocunhajr/ARBO
ARBO is a Matlab/C++ package for simulation and analysis of arbovirus nonlinear dynamics.
draeger-lab/SBMLsimulator
An efficient Java™ solver implementation for SBML
mpdougherty/razviz
An R package to produce standard graphs for HEC-RAS models.
navs-svan/VISSIM-Pedestrian-Calibration
Calibration of the significant Social Force Parameters in Vissim
TUDelft-DataDrivenControl/WFObs
A collection of time-efficient state estimation algorithms for the medium-fidelity WindFarmSimulator (WFSim) control model
COST-FP1304-PROFOUND/ProfoundProducts
An overview about PROFOUND code, data, protocols and algorithms for interfacing, calibrating and comparing forest models
JaPitt/GEARS
GEARS a toolbox for Global parameter Estimation with Automated Regularisation via Sampling by Jake Alan Pitt and Julio R. Banga
kochlisGit/Predictive-Maintainance-Tanzania-Water-Pumps
In this project, I analyze, plot and clean Tanzania's Water Pump Dataset, which is provided by DrivenData.org for a competition.
MicheleDiSabato/atp-calibration
Calibration of the monodomain model coupled with the Rogers-McCulloch model for the ionic current: design of a protocol for impulse delivery from an ATP device.
InPhyT/Quantitative_Single_Neuron_Modeling_Competition_2009
Data for the Quantitative Single-Neuron Modeling Competition (2009).
nicolejkeeney/wind_erosion_model_calibration
Calibration of a wind erosion model using remote sensing-derived vegetation characteristics
somjit101/NLP-CaseStudy-Quora-Question-Similarity
An application of NLP and classical ML algorithms to an interesting real-world use case of predicting similarity between two questions on Quora. This allows the platform to combine similar questions into one and combine their answers to avoid duplication and unnecessary confusion.
ChihLi/HetCalibrate-Reproducibility
This instruction aims to reproduce the results in the paper “Calibration of inexact computer models with heteroscedastic errors” proposed by Sung, Barber, and Walker (2022).
HCI-LMC/VQA-Uncertainty
Official code for "Exploring and exploiting model uncertainty for robust visual question answering"
NeuroLife77/DRFFIT_paper
Parameter space reduction algorithm for search-based model calibration algorithms
viniciusalbani/Estimating-Monitoring-and-Forecasting-COVID-19Epidemics
We address the calibration of SEIR-like epidemiological models from daily reports of COVID-19 infections in New York City, during the period 01-Mar-2020 to 22-Aug-2020. Our models account for different types of disease severity, age range, sex and spatial distribution. The manuscript related to such simulations can be found in https://arxiv.org/abs/2011.08664.
InPhyT/Quantitative_Single_Neuron_Modeling_Competition_2007
Data for the Quantitative Single-Neuron Modeling Competition (2007).
somjit101/NLP-CaseStudy-Personalized-Cancer-Diagnosis
In this problem statement, a sequence of genetic mutations and clinical evidences, i.e. descriptive texts as recorded by domain experts are used to classify the mutations to conclusive categories, to be used for diagnosis of the patient.