model-calibration

There are 2 repositories under model-calibration topic.

fortuna
awslabs / fortuna
A Library for Uncertainty Quantification.
deep-learning neural-networks uncertainty uncertainty-estimation uncertainty-quantification bayesian-inference calibration conformal-prediction model-calibration uncertainty-calibration flax jax ai machine-learning ml
Language:Python 854
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.
risk-analysis uncertainty-quantification probabilistic-analysis data-mining optimization-algorithms parametric-analysis validation model-reduction model-calibration
Language:C++ 206
Cogito2012 / DEAR
[ICCV 2021 Oral] Deep Evidential Action Recognition
action-recognition debiasing evidential-deep-learning model-calibration ood-detection openset-recognition uncertainty-quantification video-understanding
Language:Python 115
Data2Dynamics / d2d
a modeling environment tailored to parameter estimation in dynamical systems
modeling matlab systems-biology computational-biology parameter-estimation model-calibration
Language:MATLAB 56
IntelLabs / AVUC
Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.
bayesian-deep-learning deep-learning model-calibration probabilistic-deep-learning probabilistic-neural-network uncertainty-calibration uncertainty-estimation uncertainty-neural-networks uncertainty-quantification variational-inference
Language:Python 48
bluegreen-labs / phenor
A phenology modelling framework in R
phenocam phenology-models model-calibration vegetation-phenology r-package rstats
Language:R 42
akhtarvision / bpc_calibration
[CVPR 2023] Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection
calibration computer-vision deep-learning object-detection out-of-distribution pytorch in-distribution model-calibration
Language:Python 29
thudzj / Calibrated-DPMs
Official code for "On Calibrating Diffusion Probabilistic Models"
diffusion-models model-calibration
Language:Python 27
VIDA-NYU / pycalibrate
pycalibrate is a Python library to visually analyze model calibration in Jupyter Notebooks
calibration machine-learning model-analysis model-calibration
Language:Jupyter Notebook 16
tpopordanoska / ece-kde
Codebase for "A Consistent and Differentiable Lp Canonical Calibration Error Estimator", published at NeurIPS 2022.
computer-vision deep-learning estimation kernel-density-estimation model-calibration neurips-2022 pytorch
Language:Python 12
ZerojumpLine / ModelEvaluationUnderClassImbalance
[MICCAI2022] Estimating Model Performance under Domain Shifts with Class-Specific Confidence Scores.
class-imbalance medical-image-computing model-calibration
Language:Jupyter Notebook 11
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".
model-calibration nlp reinforcement-learning scientific-machine-learning summarization summarization-dataset
Language:Python 9
twallema / pySODM
Simulating and Optimising Dynamical Models in Python 3
emcee gillespie-algorithm model-calibration modelling-framework ordinary-differential-equations xarray integration-flow simulation
Language:Python 9
blakeaw / GAlibrate
Parameter estimation and model calibration using Genetic Algorithm optimization in Python.
model-calibration genetic-algorithm parameter-estimation optimization optimizer python3 systems-biology pysb
Language:Python 8
jandraor / SDR_Bayes
System Dynamics Review (2021)
hamiltonian-monte-carlo system-dynamics model-calibration infectious-disease-models r stan
Language:R 7
ARBO
americocunhajr / ARBO
ARBO is a package for simulation and analysis of arbovirus nonlinear dynamics.
arbovirus computational-biology dynamical-systems epidemics inverse-problems model-calibration monte-carlo-simulation nonlinear-dynamics uncertainty-quantification zika-virus
Language:MATLAB 5
draeger-lab / SBMLsimulator
An efficient Java™ solver implementation for SBML
command-line-tool fba graphical-user-interface heuristic java model-calibration ode-solver optimization parameter-estimation sbml sed-ml simulation simulation-framework systems-biology systems-biology-simulation
Language:Java 3
TUDelft-DataDrivenControl / WFObs
A collection of time-efficient state estimation algorithms for the medium-fidelity WindFarmSimulator (WFSim) control model
closed-loop control dual-estimation enkf kalman-filtering model-calibration nonlinear state-estimation ukf wfsim wind-farm-control
Language:Matlab 3
COST-FP1304-PROFOUND / ProfoundProducts
An overview about PROFOUND code, data, protocols and algorithms for interfacing, calibrating and comparing forest models
model-calibration uncertainty-analysis sensitivity-analysis mcmc forest-models forest-simulator forest-dataset
Language:Fortran 2
JaPitt / GEARS
GEARS a toolbox for Global parameter Estimation with Automated Regularisation via Sampling by Jake Alan Pitt and Julio R. Banga
matlab optimization regularization parameter-estimation modelling modeling optimisation regularisation parameter-identification model-calibration cross-validation model-fitting
Language:MATLAB 2
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.
data-analysis data-science predictive-maintenance tanzania-water imbalanced-data imbalanced-learning machine-learning machine-learning-algorithms pandas python missing-values data-cleaning data-imputation data-visualization neural-networks random-forest-classifier model-calibration data-mining data-preprocessing
Language:Jupyter Notebook 2
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.
heart model-calibration partial-differential-equations python monodomain-model rogers-mcculloch-model
Language:Python 2
razviz
mpdougherty / razviz
An R package to produce standard graphs for HEC-RAS models.
hec-ras hydrographs longitudinal-profile hydraulic-modeling model-calibration
Language:R 2
InPhyT / Quantitative_Single_Neuron_Modeling_Competition_2009
Data for the Quantitative Single-Neuron Modeling Competition (2009).
data neuroscience bayesian-inference bayesian-methods bayesian-optimization bayesian-statistics challenge competition computational-neuroscience electrophysiological-data electrophysiology-data model-calibration modeling neuronal-models neuroscience-competition parameter-estimation simulation simulation-modeling single-neuron-model uncertainty-quantification
1
nicolejkeeney / wind_erosion_model_calibration
Calibration of a wind erosion model using remote sensing-derived vegetation characteristics
dust-models erosion-process model-calibration python remote-sensing sediment-transport
Language:Jupyter Notebook 1
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.
cross-validation feature-engineering feature-extraction gradient-boosting kaggle logistic-regression machine-learning model-calibration natural-language-processing nlp quora-question-pairs scikit-learn svm text-mining xgboost
Language:Jupyter Notebook 1
cehrett / Calibration_for_design
Paper: Computer model calibration as a method for design
model-calibration gaussian-processes optimization paper poster bayesian-methods mcmc uncertainty-quantification
Language:TeX 0
ChihLi / HetCalibrate
This R package allows calibration parameter estimation for inexact computer models with heteroscedastic errors proposed by Sung, Barber, and Walker (2022) in SIAM/ASA Journal on Uncertainty Quantification.
rpackage model-calibration heteroscedasticity
Language:R 0
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).
heteroscedasticity model-calibration reproducibility
Language:R 0
navs-svan / VISSIM-Pedestrian-Calibration
Calibration of the significant Social Force Parameters in Vissim
genetic-algorithm model-calibration model-validation social-force-model vissim pedestrian-walking-speed
Language:Python 0
NeuroLife77 / DRFFIT_paper
Parameter space reduction algorithm for search-based model calibration algorithms
dimensionality-reduction model-calibration optimization parameter-estimation
Language:Jupyter Notebook 0
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.
covid-19 covid19 covid seir-model seir seird-model calibration epidemiology epidemic-model model-calibration inverse-problems
Language:MATLAB 0
InPhyT / Quantitative_Single_Neuron_Modeling_Competition_2007
Data for the Quantitative Single-Neuron Modeling Competition (2007).
bayesian-inference bayesian-methods bayesian-optimization bayesian-statistics challenge competition computational-neuroscience data electrophysiological-data electrophysiology model-calibration modeling neuronal-models neuroscience neuroscience-competition parameter-estimation simulation simulation-modeling single-neuron-model uncertainty-quantification
Language:MATLAB
KWB-R / kwb.ucode
Interface to auto-calibration software UCODE (https://igwmc.mines.edu/ucode/)
r rstats model-calibration project-optiwells2 r-package auto-calibration ucode modelling
Language:R
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.
cancer-diagnosis ensemble-learning ensemble-model hyperparameter-tuning k-nearest-neighbours linear-svm logistic-regression majority-voting model-calibration multinomial-naive-bayes naive-bayes-classifier natural-language-processing nlp nlp-machine-learning random-forest-classifier response-coding stacking-ensemble svm-classifier text-processing
Language:Jupyter Notebook
zlin7 / KCal
iclr2023 calibration model-calibration
Language:Python

model-calibration

awslabs / fortuna

idaholab / raven

Cogito2012 / DEAR

Data2Dynamics / d2d

IntelLabs / AVUC

bluegreen-labs / phenor

akhtarvision / bpc_calibration

thudzj / Calibrated-DPMs

VIDA-NYU / pycalibrate

tpopordanoska / ece-kde

ZerojumpLine / ModelEvaluationUnderClassImbalance

griff4692 / calibrating-summaries

twallema / pySODM

blakeaw / GAlibrate

jandraor / SDR_Bayes

americocunhajr / ARBO

draeger-lab / SBMLsimulator

TUDelft-DataDrivenControl / WFObs

COST-FP1304-PROFOUND / ProfoundProducts

JaPitt / GEARS

kochlisGit / Predictive-Maintainance-Tanzania-Water-Pumps

MicheleDiSabato / atp-calibration

mpdougherty / razviz

InPhyT / Quantitative_Single_Neuron_Modeling_Competition_2009

nicolejkeeney / wind_erosion_model_calibration

somjit101 / NLP-CaseStudy-Quora-Question-Similarity

cehrett / Calibration_for_design

ChihLi / HetCalibrate

ChihLi / HetCalibrate-Reproducibility

navs-svan / VISSIM-Pedestrian-Calibration

NeuroLife77 / DRFFIT_paper

viniciusalbani / Estimating-Monitoring-and-Forecasting-COVID-19Epidemics

InPhyT / Quantitative_Single_Neuron_Modeling_Competition_2007

KWB-R / kwb.ucode

somjit101 / NLP-CaseStudy-Personalized-Cancer-Diagnosis

zlin7 / KCal