Topic: "prediction-intervals"
StatMixedML/XGBoostLSS
An extension of XGBoost to probabilistic modelling
Language: Python - Size: 90.2 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 598 - Forks: 63
henrikbostrom/crepes
Python package for conformal prediction
Language: Python - Size: 24.3 MB - Last synced at: 26 days ago - Pushed at: about 1 month ago - Stars: 496 - Forks: 39
StatMixedML/LightGBMLSS
An extension of LightGBM to probabilistic modelling
Language: Python - Size: 32 MB - Last synced at: 6 days ago - Pushed at: 11 months ago - Stars: 308 - Forks: 32
yromano/cqr
Conformalized Quantile Regression
Language: Jupyter Notebook - Size: 5.02 MB - Last synced at: 5 days ago - Pushed at: about 3 years ago - Stars: 271 - Forks: 51
zillow/quantile-forest
Quantile Regression Forests compatible with scikit-learn.
Language: Python - Size: 81.8 MB - Last synced at: 1 day ago - Pushed at: 15 days ago - Stars: 228 - Forks: 29
StatMixedML/CatBoostLSS
An extension of CatBoost to probabilistic modelling
Size: 6.82 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 142 - Forks: 13
eliahuhorwitz/Conffusion
Official Implementation for the "Conffusion: Confidence Intervals for Diffusion Models" paper.
Language: Python - Size: 2.14 MB - Last synced at: 23 days ago - Pushed at: over 2 years ago - Stars: 139 - Forks: 5
superlinear-ai/conformal-tights
👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
Language: Python - Size: 857 KB - Last synced at: 5 days ago - Pushed at: 14 days ago - Stars: 110 - Forks: 3
FilippoMB/Ensemble-Conformalized-Quantile-Regression
Valid and adaptive prediction intervals for probabilistic time series forecasting.
Language: Jupyter Notebook - Size: 1.96 MB - Last synced at: 4 days ago - Pushed at: 2 months ago - Stars: 93 - Forks: 10
saattrupdan/doubt
Bringing back uncertainty to machine learning.
Language: Python - Size: 2.28 MB - Last synced at: about 1 month ago - Pushed at: 11 months ago - Stars: 51 - Forks: 3
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.
Language: Jupyter Notebook - Size: 5.26 MB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 36 - Forks: 4
nppackages/scpi
Prediction and inference procedures for synthetic control methods with multiple treated units and staggered adoption.
Language: R - Size: 12.2 MB - Last synced at: 7 days ago - Pushed at: 3 months ago - Stars: 33 - Forks: 10
lsorber/neo-ls-svm
Neo LS-SVM is a modern Least-Squares Support Vector Machine implementation
Language: Python - Size: 321 KB - Last synced at: 17 days ago - Pushed at: about 1 year ago - Stars: 33 - Forks: 3
godatadriven/piven
Prediction Intervals with specific value prediction
Language: Python - Size: 5.53 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 16 - Forks: 5
fmpr/DeepJMQR
Deep joint mean and quantile regression for spatio-temporal problems
Language: Jupyter Notebook - Size: 125 KB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 12 - Forks: 7
NISL-MSU/PredictionIntervals
DualAQD: Dual Accuracy-quality-driven Prediction Intervals
Language: Jupyter Notebook - Size: 103 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 8 - Forks: 0
richardangell/pitci
Prediction intervals for trees using conformal intervals. Docs at https://pitci.readthedocs.io/en/latest/
Language: Python - Size: 308 KB - Last synced at: 9 months ago - Pushed at: over 3 years ago - Stars: 8 - Forks: 0
Larsvanderlaan/SelfCalibratingConformal
An implementation of Self-Calibrating Conformal Prediction, accepted to Neurips 2024. SC-CP combines Venn-Abers calibration and conformal prediction to deliver calibrated point predictions alongside prediction intervals with finite-sample validity conditional on these predictions.
Language: Jupyter Notebook - Size: 80.1 MB - Last synced at: 12 days ago - Pushed at: 4 months ago - Stars: 7 - Forks: 3
yromano/fair_dummies
implementation of fair dummies
Language: Jupyter Notebook - Size: 2.03 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 4
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.
Language: Python - Size: 2.56 MB - Last synced at: about 17 hours ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0
predict-idlab/cmc-learner
Implementation of Conformal Monte Carlo (CMC) learner
Language: Jupyter Notebook - Size: 5.56 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
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.
Language: Python - Size: 5.86 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0
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.
Language: R - Size: 9.77 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
yongsukyee/uncertain_blackholemass
Uncertainty quantification of black hole mass estimation
Language: Jupyter Notebook - Size: 11.3 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
ethan-allavarpu/stats-208-jackknife
Analysis of Predictive inference with jackknife+, a new method for creating prediction intervals with stronger coverage guarantees
Language: Python - Size: 10.2 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
ashishyadav24092000/Prediction-And-Confidence-interval-LinearRegression
Plotting of the Confidence interval and Prediction interval for a Linear Regression model.
Language: Jupyter Notebook - Size: 1.24 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
devosmitachatterjee2018/Linear_Statistical_Models
The project involves the multivariate regression analysis of a dataset.
Language: R - Size: 1.72 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0
