prediction-intervals
There are 29 repositories under prediction-intervals topic.
StatMixedML/XGBoostLSS
An extension of XGBoost to probabilistic modelling
henrikbostrom/crepes
Python package for conformal prediction
StatMixedML/LightGBMLSS
An extension of LightGBM to probabilistic modelling
yromano/cqr
Conformalized Quantile Regression
zillow/quantile-forest
Quantile Regression Forests compatible with scikit-learn.
StatMixedML/CatBoostLSS
An extension of CatBoost to probabilistic modelling
eliahuhorwitz/Conffusion
Official Implementation for the "Conffusion: Confidence Intervals for Diffusion Models" paper.
superlinear-ai/conformal-tights
đź‘– Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
FilippoMB/Ensemble-Conformalized-Quantile-Regression
Valid and adaptive prediction intervals for probabilistic time series forecasting
saattrupdan/doubt
Bringing back uncertainty to machine learning.
elisim/piven
Official implementation of the paper "PIVEN: A Deep Neural Network for Prediction Intervals with Specific Value Prediction" by Eli Simhayev, Gilad Katz and Lior Rokach.
nppackages/scpi
Prediction and inference procedures for synthetic control methods with multiple treated units and staggered adoption.
salimamoukou/ACPI
Adaptive Conformal Prediction Intervals (ACPI) is a Python package that enhances the Predictive Intervals provided by the split conformal approach by employing a weighting strategy.
lsorber/neo-ls-svm
Neo LS-SVM is a modern Least-Squares Support Vector Machine implementation
godatadriven/piven
Prediction Intervals with specific value prediction
ndrearu/curve_fit_utils
**curve_fit_utils** is a Python module containing useful tools for curve fitting
fmpr/DeepJMQR
Deep joint mean and quantile regression for spatio-temporal problems
predict-idlab/cct-cmc
Implementation of Conformal Convolution T-learner (CCT) and Conformal Monte Carlo (CMC) learner
NISL-MSU/PredictionIntervals
DualAQD: Dual Accuracy-quality-driven Prediction Intervals
richardangell/pitci
Prediction intervals for trees using conformal intervals. Docs at https://pitci.readthedocs.io/en/latest/
yromano/fair_dummies
implementation of fair dummies
NeuraXenetica/comport_ai
An HR predictive analytics tool for forecasting the likely range of a worker’s future job performance using multiple ANNs with custom loss functions.
yongsukyee/uncertain_blackholemass
Uncertainty quantification of black hole mass estimation
bpbirch/CI_and_Prediction_Bootstraps
This module contains functions, bootStrapParamCI and bootStrapPredictInterval, that follow a bootstrap approach to produce confidence intervals for model parameters and prediction intervals for individual point predictions, respectively.
smriti2311/RegModel_Analytica
Complete mathematical and statistical analysis of linear regression model
devosmitachatterjee2018/Linear_Statistical_Models
The project involves the multivariate regression analysis of a dataset.
ethan-allavarpu/stats-208-jackknife
Analysis of Predictive inference with jackknife+, a new method for creating prediction intervals with stronger coverage guarantees
srimallipudi/Harmon-Foods-Forecasting-Model
Developed a linear regression model to forecast case shipments considering various predictor variables such as time trends (month), seasonality (seasonal index), and promotions. Conducted Durbin Watson test and generated a forecast and prediction interval.
ashishyadav24092000/Prediction-And-Confidence-interval-LinearRegression
Plotting of the Confidence interval and Prediction interval for a Linear Regression model.