Projects in Awesome Lists tagged with model-calibration

https://github.com/awslabs/fortuna

A Library for Uncertainty Quantification.

ai bayesian-inference calibration conformal-prediction deep-learning flax jax machine-learning ml model-calibration neural-networks uncertainty uncertainty-calibration uncertainty-estimation uncertainty-quantification

Last synced: 30 Oct 2024

https://github.com/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.

data-mining model-calibration model-reduction optimization-algorithms parametric-analysis probabilistic-analysis risk-analysis uncertainty-quantification validation

Last synced: 21 Dec 2024

https://github.com/jialuechen/tfq-finance

Quantum Finance Library

cirq data-science derivatives-pricing high-frequency-trading machine-learning model-calibration physics portfolio-optimization quantitative-finance quantum-classical quantum-computing quantum-finance risk-management tensorflow-quantum

Last synced: 21 Dec 2024

https://github.com/bluegreen-labs/phenor

A phenology modelling framework in R

model-calibration phenocam phenology-models r-package rstats vegetation-phenology

Last synced: 17 Dec 2024

https://github.com/vida-nyu/pycalibrate

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

calibration machine-learning model-analysis model-calibration

Last synced: 24 Nov 2024

https://github.com/ZerojumpLine/ModelEvaluationUnderClassImbalance

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

class-imbalance medical-image-computing model-calibration

Last synced: 05 Nov 2024

https://github.com/americocunhajr/arbo

ARBO is a Matlab/C++ 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

Last synced: 08 Nov 2024

https://github.com/inphyt/quantitative_single_neuron_modeling_competition_2009

Data for the Quantitative Single-Neuron Modeling Competition (2009).

bayesian-inference bayesian-methods bayesian-optimization bayesian-statistics challenge competition computational-neuroscience data electrophysiological-data electrophysiology-data model-calibration modeling neuronal-models neuroscience neuroscience-competition parameter-estimation simulation simulation-modeling single-neuron-model uncertainty-quantification

Last synced: 12 Nov 2024

https://github.com/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

Last synced: 16 Nov 2024

https://github.com/kwb-r/kwb.ucode

Interface to auto-calibration software UCODE (https://igwmc.mines.edu/ucode/)

auto-calibration model-calibration modelling project-optiwells2 r r-package rstats ucode

Last synced: 07 Nov 2024

https://github.com/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

Last synced: 12 Nov 2024

https://github.com/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

Last synced: 16 Nov 2024