henrikbostrom/crepes

Python package for conformal prediction

Language: Python - Size: 24.3 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 509 - Forks: 40

zillow/quantile-forest

Quantile Regression Forests compatible with scikit-learn.

Language: Python - Size: 81.8 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 232 - Forks: 29

saattrupdan/doubt

Bringing back uncertainty to machine learning.

Language: Python - Size: 2.28 MB - Last synced at: 7 days ago - Pushed at: about 1 year ago - Stars: 53 - Forks: 3

CenterForAssessment/SGP

Functions to calculate student growth percentiles and percentile growth projections/trajectories for students using large scale, longitudinal assessment data. Functions use quantile regression to estimate the conditional density associated with each student's achievement history. Percentile growth projections/trajectories are calculated using the coefficient matrices derived from the quantile regression analyses and specify what percentile growth is required for students to reach future achievement targets.

Language: R - Size: 3.02 GB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 20 - Forks: 21

yromano/cqr

Conformalized Quantile Regression

Language: Jupyter Notebook - Size: 5.02 MB - Last synced at: 4 days ago - Pushed at: about 3 years ago - Stars: 275 - Forks: 51

wwiecek/baggr

R package for Bayesian meta-analysis models, using Stan

Language: R - Size: 12.8 MB - Last synced at: 8 days ago - Pushed at: 10 days ago - Stars: 49 - Forks: 12

RektPunk/MQBoost

Multiple quantiles estimation model maintaining non-crossing condition (or monotone quantile condition) using LightGBM and XGBoost

Language: Python - Size: 752 KB - Last synced at: 24 days ago - Pushed at: 7 months ago - Stars: 32 - Forks: 6

qfettes/DeepRL-Tutorials

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

Language: Jupyter Notebook - Size: 152 MB - Last synced at: about 1 month ago - Pushed at: about 4 years ago - Stars: 1,073 - Forks: 329

ShangtongZhang/DeepRL

Modularized Implementation of Deep RL Algorithms in PyTorch

Language: Python - Size: 10.4 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 3,305 - Forks: 692

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: about 1 month ago - Pushed at: about 2 months ago - Stars: 110 - Forks: 3

cklugmann/stats_notes

Just a bunch of notes on topics in statistics/machine learning that interest me. Think of it as a not-so-fancy blog.

Language: Jupyter Notebook - Size: 145 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

aangelopoulos/im2im-uq

Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images with rigorous, distribution-free uncertainty quantification.

Language: Python - Size: 5.24 MB - Last synced at: 4 days ago - Pushed at: over 2 years ago - Stars: 56 - Forks: 10

AhmetZamanis/DeepLearningEnergyForecasting

Time series forecasting on an hourly energy dataset, with LSTM & Transformer models implemented in PyTorch Lightning. Deployment of the Transformer model using Docker, with GPU support.

Language: Jupyter Notebook - Size: 15.2 MB - Last synced at: 11 days ago - Pushed at: 9 months ago - Stars: 2 - Forks: 0

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: about 2 months ago - Pushed at: 3 months ago - Stars: 93 - Forks: 10

lorismichel/quantregForest

R package - Quantile Regression Forests, a tree-based ensemble method for estimation of conditional quantiles (Meinshausen, 2006).

Language: C - Size: 478 KB - Last synced at: 5 days ago - Pushed at: over 7 years ago - Stars: 30 - Forks: 7

msesia/chr

Conformal Histogram Regression: efficient conformity scores for non-parametric regression problems

Language: Python - Size: 218 KB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 22 - Forks: 7

ZenaPoudel/rqf-demand-forecast

Demand Forecasting with Quantile Regression Forest

Language: Python - Size: 17.6 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

kthohr/BayesianQuantileRegression

Bayesian Quantile Regression

Language: C++ - Size: 69.3 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 3 - Forks: 0

dannysdeng/dqn-pytorch

PyTorch - Implicit Quantile Networks - Quantile Regression - C51

Language: Python - Size: 1.46 MB - Last synced at: 21 days ago - Pushed at: almost 6 years ago - Stars: 22 - Forks: 2

vlad-yeghiazaryan/armenian-gar

GaR model for Armenia

Language: Jupyter Notebook - Size: 915 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

KwonNayeon/bayesian-paper-reviews

Bayesian analysis paper reviews from grad school

Size: 9.08 MB - Last synced at: 7 days ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

eliahuhorwitz/Conffusion

Official Implementation for the "Conffusion: Confidence Intervals for Diffusion Models" paper.

Language: Python - Size: 2.14 MB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 139 - Forks: 5

luca-pernigo/kernel_quantile_regression

Kernel quantile regression

Language: Jupyter Notebook - Size: 343 MB - Last synced at: 26 days ago - Pushed at: 11 months ago - Stars: 4 - Forks: 1

gcampanella/pydata-london-2018

Slides and notebooks for my tutorial at PyData London 2018

Language: Jupyter Notebook - Size: 2.72 MB - Last synced at: 20 days ago - Pushed at: almost 7 years ago - Stars: 21 - Forks: 6

egpivo/QuantRegGLasso

R Package: Adaptively weighted group lasso for semiparametic quantile regression models

Language: R - Size: 2.57 MB - Last synced at: 3 months ago - Pushed at: 8 months ago - Stars: 4 - Forks: 0

solar-san/BA-Project

Notes and laboratories from a graduate course in Business Analytics.

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chouaib-629/quantileRegression

Quantile regression for delivery time and some scenarios.

Language: Jupyter Notebook - Size: 589 KB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 2 - Forks: 0

liquidSVM/liquidSVM

Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.

Language: C++ - Size: 4.36 MB - Last synced at: 3 months ago - Pushed at: over 5 years ago - Stars: 67 - Forks: 9

jiewenTsai/ExtendedRtIrtModeling.jl

Extended Response Time Item Response Models with Polya-Gamma Sampler and Bayesian Quantile Regression.

Language: Julia - Size: 1.64 MB - Last synced at: 12 days ago - Pushed at: 13 days ago - Stars: 1 - Forks: 0

DolbyUUU/regression_algorithm_implementation_python

regression algorithm implementaion from scratch with python (least-squares, regularized LS, L1-regularized LS, robust regression)

Language: Python - Size: 4.88 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

oguzhan140281/-Quantile-regression-and-nonlinear-vector-autoregression-VAR-model-

The codes replicate the "Assessing the impacts of financial stress index of developed countries on the exchange market pressure index of emerging countries"

Language: MATLAB - Size: 196 KB - Last synced at: 6 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

FatimaUriarte/STATA

Do files employed in my research

Language: Stata - Size: 880 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

yatshunlee/CAViaR

Measure market risk by CAViaR model

Language: Jupyter Notebook - Size: 30.2 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 11 - Forks: 2

stats9/R_Fancy

In this repository, software applications in simulation and visualization for various applications are presented with interesting examples.

Language: HTML - Size: 96.8 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

antononcube/Python-Regressionizer

Python package with a class that allows pipeline-like specification and execution of regression workflows.

Language: Python - Size: 4.89 MB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

stats9/math-and-python

This repository is created to provide suggestions for solving mathematical problems using Python, as well as suggestions for implementing statistical models and Python tools that can help, based on empirical problems.

Language: Jupyter Notebook - Size: 28.4 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

CY-dev/hqreg

Regularization Paths for Huber Loss Regression and Quantile Regression Penalized by Lasso or Elastic-Net

Language: C - Size: 215 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 10 - Forks: 2

getzze/RobustModels.jl

A Julia package for robust regressions using M-estimators and quantile regressions

Language: Julia - Size: 782 KB - Last synced at: 4 days ago - Pushed at: 9 months ago - Stars: 36 - Forks: 2

JillianHebert/A-Primer-on-Quantile-Regression-for-Epidemiologists

Presented workshop at the Society for Epidemiologic Research (SER) 2023 conference

Language: R - Size: 11.7 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

RichardFindlay/day-ahead-probablistic-forecasting-with-quantile-regression

Using an integrated pinball-loss objective function in various recurrent based deep learning architectures made with keras to simultaneously produce probabilistic forecasts for UK wind, solar, demand and price forecasts.

Language: Python - Size: 718 MB - Last synced at: 8 months ago - Pushed at: over 2 years ago - Stars: 29 - Forks: 4

hatalis/Quantile_Detector

Qauntile autoregressive neural network for time series anamoly detection.

Language: Python - Size: 467 KB - Last synced at: 4 months ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 2

nassernajibi/precipitation-scaling-WRs-Northeast

A repo for "Precipitation Scaling With Temperature in the Northeast US: Variations by Weather Regime, Season, and Precipitation Intensity"

Language: R - Size: 62.5 KB - Last synced at: 6 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

antononcube/Raku-DSL-English-QuantileRegressionWorkflows

Raku package for making Quantile regression workflows using natural language commands (in English.)

Language: Raku - Size: 103 KB - Last synced at: 22 days ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

krmays/MarchMadness

Predicting March Madness results using quantile regression with train data on tournament teams from 2002-2022

Language: R - Size: 1.74 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

antononcube/WL-MonadicQuantileRegression-paclet

Wolfram Language (aka Mathematica) paclet for monadic Quantile Regression workflows.

Language: Mathematica - Size: 1.87 MB - Last synced at: 15 days ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

antononcube/WL-ReliabilityTools-paclet

WL package with different reliability evaluation algorithms.

Language: Mathematica - Size: 1.04 MB - Last synced at: 3 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

anhdanggit/non-parametric-econometrics

This is the R code for several common non-parametric methods (kernel est., mean regression, quantile regression, boostraps) with both practical applications on data and simulations

Language: R - Size: 1.58 MB - Last synced at: 11 months ago - Pushed at: about 7 years ago - Stars: 7 - Forks: 8

RektPunk/l1pm

Learning Multiple Quantiles With Neural Networks with preserving monotonicity among quantiles

Language: R - Size: 15.6 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

afairless/bayesian_quantile_multitask_nn

Mixing, matching, and comparing Bayesian models, quantile regression, and multi-task learning

Language: HTML - Size: 1000 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

Monster-Moon/l1pm 📦

Learning Multiple Quantiles With Neural Networks

Language: R - Size: 43 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 1

aryamanjeendgar/LogGENE

Code for the paper: LogGENE, A Smooth alternative for the Check Loss

Language: Jupyter Notebook - Size: 152 MB - Last synced at: 12 months ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 1

ArnauPerich/DisturbanceStormTimeModel

A Disturbance Storm Time (Dst) model that allows to compute the Dst density function conditioned to some geomagetic data. It has been used Recurrent Neural Networks, as well as the Quantile Regression idea.

Language: Jupyter Notebook - Size: 3.95 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

CCaribe9/HQR-WACI

Code and experiments related to the paper: 'Enhancing reliability in prediction intervals using point forecasters: Heteroscedastic Quantile Regression and Width-Adaptive Conformal Inference'

Language: Python - Size: 68.6 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

jobstdavid/gamvinereg

D-Vine GAM Copula based Quantile Regression

Language: R - Size: 400 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 5 - Forks: 0

jguerrae/QuantilReg_InflationDebt

This repository contains the quantitative analysis based on quantile regression models that examine the interaction between inflation and public debt

Language: Jupyter Notebook - Size: 5.27 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

kasselhingee/sqreg-diagnostic-plots

Scripts to create diagnostic plots of Stata sqreg fits

Language: Stata - Size: 65.4 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

noleengrima/Dissertation_code_QuantileRegression

Here you can find the code which was used in my dissertation named "Quantile Regression Methods for Modelling Indoor PAH Levels from Lifestyle and Indoor Environment Information".

Language: R - Size: 1.16 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Avinash793/regression-analysis-examples

Detailed implementation of various regression analysis models and concepts on real dataset.

Language: Jupyter Notebook - Size: 3.55 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 1

ErezSC42/qr_forcaster

Our implementation of the paper "A Multi-Horizon Quantile Recurrent Forecaster"

Language: Python - Size: 544 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 24 - Forks: 8

Gklajer/Net-Load-Forecasting

Kaggle competition "Net-Load Forecasting During the "Sobriety" Period"

Language: R - Size: 1.24 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Buczman/CaviaR

R code for CAViaR model

Language: R - Size: 77.1 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 24 - Forks: 14

Jbrich95/pinnEV

Partially-Interpretable Neural Networks for Extreme Value modelling

Language: R - Size: 588 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 7 - Forks: 1

cyoon1729/RLcycle

A library for ready-made reinforcement learning agents and reusable components for neat prototyping

Language: Python - Size: 3.52 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 288 - Forks: 62

monika-kaczan/advanced-econometrics-ii

Project for the 2022/23 Advanced Econometrics II class at Faculty of Economic Sciences, University of Warsaw. In this project we build quantile regression model to analyze variability in valuation of houses' characteristics.

Language: Stata - Size: 836 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Gorlevichd/QuantileToolsR

R package for advanced quantile regression methods

Language: R - Size: 16.6 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

juanfaca/Gender_Wage_Gap_Quantiles

This project provide key information and evidence about the existence of sticky floor and glass ceiling in the laboral market in Peru. Likewise, the gender wage gap is calculated vía statistic modelling.

Language: Jupyter Notebook - Size: 17.1 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

elifyilmaz2027/traffic_flow_forecasting_methods

The repository gives case studies on short-term traffic flow forecasting strategies within the scope of my master thesis.

Language: Jupyter Notebook - Size: 1.46 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 1

adrian-lison/interval-scoring

This repository contains python implementations of scoring rules for forecasts provided in a prediction interval format.

Language: Jupyter Notebook - Size: 17.6 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 7 - Forks: 2

MasonWilie/PQRFATDSL_Recreation

Recreation of the findings presented in the paper titled "Parsimonious Quantile Regression of Financial Asset Tail Dynamics via Sequential Learning"

Language: Jupyter Notebook - Size: 1.56 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 1

yasui-salmon/CQR

censored quantile regression with three-step estimator

Language: R - Size: 325 KB - Last synced at: over 1 year ago - Pushed at: about 8 years ago - Stars: 0 - Forks: 1

kkranker/cic

Stata implementation of the Athey and Imbens (2006) Changes-in-Changes model

Language: Stata - Size: 144 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 4 - Forks: 1

she-osprey/IPWK7-CORE

HASS CONSULTING COMPANY - REAL ESTATE: study the factors that affect housing prices using the given information on real estate properties that was collected over the past few months. Later onwards, create a model that would allow the company to accurately predict the sale of prices upon being provided with the predictor variables.

Language: Jupyter Notebook - Size: 5.29 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

BayerSe/l1qr

Lasso Quantile Regression

Language: Python - Size: 1.13 MB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 23 - Forks: 8

alexanderhanboli/censored_ExtremelyRandomForest

Random or Extremely Random Forest for censored quantile regression.

Language: R - Size: 53.7 KB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 4

peiman-m/ACQNP

Adaptive Conditional Quantile Neural Processes - PyTorch

Language: Jupyter Notebook - Size: 3 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

antononcube/WL-QuantileRegression-paclet

Wolfram Language (aka Mathematica) paclet that provides various Quantile Regression functions.

Language: Mathematica - Size: 8.28 MB - Last synced at: 3 months ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

be-green/quantspace

R package for estimating quantile regression coefficients via the quantile spacing method

Language: R - Size: 51.4 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 3

TeaPearce/Censored_Quantile_Regression_NN

NeurIPS paper 'Censored Quantile Regression Neural Networks for Distribution-Free Survival Analysis'

Language: Jupyter Notebook - Size: 928 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 1

ornscar/mono_sobrev_reg_quantilica

Projeto de Monografia apresentado como requisito parcial para conclusão do curso de Bacharelado em Estatística pela UFES.

Language: R - Size: 15.9 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

fboehm/openFHDQR

Open-source implementation of ADMM algorithms for penalized quantile regression in Gu, et al. 2018 Technometrics

Language: C++ - Size: 234 KB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 0

yairst/multi-horizon-quantile-recurrent-forecaster

Language: Jupyter Notebook - Size: 705 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

opardo/GPDPQuantReg

R Package. Bayesian and nonparametric quantile regression, using Gaussian Processes to model the trend, and Dirichlet Processes, for the error. Author: Carlos Omar Pardo Gomez.

Language: R - Size: 629 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 8 - Forks: 0

gregorkb/QregBB

Block bootstrap methods for quantile regression in time series

Language: R - Size: 70.3 KB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 1

fmpr/DeepJMQR

Deep joint mean and quantile regression for spatio-temporal problems

Language: Jupyter Notebook - Size: 125 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 12 - Forks: 7

nvalis/Quantile-Regression

Language: Jupyter Notebook - Size: 91.8 KB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

anvdn/COVID19RetweetPrediction

We carried out thematic clustering and differential prediction of number of retweets with Gradient Boosting and Quantile regression. We also performed text embedding with Bidirectional Encoder Representations (BERT, Google) for deep prediction with TensorFlow

Language: Jupyter Notebook - Size: 11.1 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

BayerSe/esreg

The goal of esreg is to simultaneously model the quantile and the expected shortfall of a response variable given a set of covariates.

Language: R - Size: 181 KB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 2

be-green/fqr

Fast (Approximate) Quantile Regression with Accelerated Gradient Descent

Language: C++ - Size: 241 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

SSS135/aiqn-vae

VAE + Quantile Networks for MNIST

Language: Python - Size: 242 KB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 12 - Forks: 1

mhoward2718/pinball

The fastest and most accurate methods for quantile regression, now in Python.

Language: Python - Size: 237 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

thvasilo/uncertain-trees-reproducible

Online random forests with prediction uncertainty

Language: Shell - Size: 131 MB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 2

alexanderhanboli/censoredQRF

censored Quantile Random Forest

Language: C - Size: 1.69 MB - Last synced at: over 2 years ago - Pushed at: almost 6 years ago - Stars: 2 - Forks: 1

mlr7/time-series-forecasting-with-gradient-boosted-trees

Forecasting the solar cycle with gradient boosted trees and quantile regression.

Language: Jupyter Notebook - Size: 6.26 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 1

mliu-dark-knight/10716

Language: Python - Size: 1.37 MB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0

simonpf/predictive_uncertainty

A validation study for the application of quantile regression neural networks to Bayesian remote sensing retrievals

Language: Jupyter Notebook - Size: 53.8 MB - Last synced at: about 1 year ago - Pushed at: almost 7 years ago - Stars: 2 - Forks: 2