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GitHub topics: ordinal-regression

Raschka-research-group/coral-pytorch

CORAL and CORN implementations for ordinal regression with deep neural networks.

Language: Python - Size: 27.4 MB - Last synced at: 9 days ago - Pushed at: almost 2 years ago - Stars: 235 - Forks: 26

grantgasser/Alzheimers-Prediction

An attempt to diagnose Alzheimer's disease earlier

Language: Jupyter Notebook - Size: 338 KB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 71 - Forks: 32

abess-team/abess

Fast Best-Subset Selection Library

Language: C++ - Size: 209 MB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 485 - Forks: 42

mseol2/cora

✨ PyTorch implementation of "Cora: Correspondence-aware Image Editing Using Few-Step Diffusion", accepted at SIGGRAPH 2025.

Language: Python - Size: 25.8 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

koalaverse/sure

Surrogate residuals for cumulative link and general regression models in R

Language: R - Size: 10.1 MB - Last synced at: about 2 months ago - Pushed at: 4 months ago - Stars: 8 - Forks: 4

rasbt/DeepLearning-Gdansk2019-tutorial

Ordinal Regression tutorial for the International Summer School on Deep Learning 2019

Language: Jupyter Notebook - Size: 13.1 MB - Last synced at: 2 months ago - Pushed at: about 6 years ago - Stars: 71 - Forks: 17

ayrna/orca

Ordinal Regression and Classification Algorithms

Language: MATLAB - Size: 10.4 MB - Last synced at: about 2 months ago - Pushed at: over 4 years ago - Stars: 116 - Forks: 35

EthanRosenthal/spacecutter

Ordinal regression models in PyTorch

Language: Python - Size: 16.6 KB - Last synced at: 14 days ago - Pushed at: over 3 years ago - Stars: 147 - Forks: 17

ck37/coral-ordinal

Tensorflow Keras implementation of ordinal regression using consistent rank logits (CORAL) by Cao et al. (2019)

Language: Python - Size: 118 KB - Last synced at: 26 days ago - Pushed at: over 3 years ago - Stars: 81 - Forks: 23

m-clark/Miscellaneous-R-Code

Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. **Superseded by the models-by-example repo**.

Language: R - Size: 11.2 MB - Last synced at: 3 months ago - Pushed at: over 4 years ago - Stars: 196 - Forks: 82

adamingas/ordinalgbt

A package to build Gradient boosted trees for ordinal labels

Language: Jupyter Notebook - Size: 625 KB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 16 - Forks: 1

mosh98/Ordinal_Classifier

Introduce order in your classification within 1 line

Language: Jupyter Notebook - Size: 66.4 KB - Last synced at: 6 days ago - Pushed at: over 2 years ago - Stars: 13 - Forks: 2

tohtsky/myFM

A Python/C++ implementation of Bayesian Factorization Machines

Language: C++ - Size: 1.42 MB - Last synced at: 22 days ago - Pushed at: 10 months ago - Stars: 55 - Forks: 14

tomealbuquerque/ordinal-datasets

A list of ordinal datasets publicly available

Size: 25.4 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 4 - Forks: 1

xmed-lab/NumCLIP

[ECCV 2024] Teach CLIP to Develop a Number Sense for Ordinal Regression

Language: Python - Size: 1.53 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 7 - Forks: 0

dontLoveBugs/DORN_pytorch

PyTorch implementation of Deep Ordinal Regression Network for Monocular Depth Estimation

Language: Python - Size: 503 KB - Last synced at: 4 months ago - Pushed at: over 4 years ago - Stars: 298 - Forks: 67

ejikeugba/serp

Smooth Effects on Response Penalty for CLM

Language: R - Size: 1.01 MB - Last synced at: 6 days ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

tomerzipori/OrdinalRegressionViz

R package for ggplot2-based visualizations of cumulative ordinal regression models in R

Language: R - Size: 893 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

Shopify/bevel

Ordinal regression in Python

Language: Python - Size: 123 KB - Last synced at: 7 days ago - Pushed at: about 1 year ago - Stars: 65 - Forks: 15

mahadkhan9/logisticreg

I used data from US.GOV regarding a survey that was carried out in Philadelphia in 2017 to see both how BikePGH donor-members, and Pittsburgh residents at large, feel about about sharing the road with AVs as a bicyclist and/or as a pedestrian.

Size: 1.53 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

jessicancobos/Jessica-sData

This research includes the analyses of my Master's thesis on women's educational attainment and intimate partner violence in Mexico

Size: 5.86 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

YogiOnBioinformatics/Multi-Epigenomics-ElasticNet-Ordinal-Regression

Ordinal Logistic Regression with ElasticNet Regularization using Multi-Assay Epigenomics Data from CHDI NeuroLINCS Consortium.

Language: Jupyter Notebook - Size: 153 MB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

r-gg/covid-19-eda-nn-rf

Covid stay days EDA and modeling with neural networks and random forests. (Bachelor's thesis)

Language: Jupyter Notebook - Size: 1.6 MB - Last synced at: 4 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

sbelharbi/Deep-Ordinal-Classification-with-Inequality-Constraints

Code for the paper `Non-parametric Uni-modality Constraints for Deep Ordinal Classification`.

Language: Python - Size: 56.6 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 1

axeber01/dold

Deep Ordinal Regression with Label Diversity

Language: MATLAB - Size: 230 KB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 22 - Forks: 4

KoketsoMangwale/Cancer-Patients

Descriptive and Statistical Analysis on the Cancer Patients dataset

Language: Jupyter Notebook - Size: 24.1 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

mlr-org/mlr3ordinal

Ordinal Regression for mlr3

Language: R - Size: 340 KB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 0

Raschka-research-group/coral-cnn

Rank Consistent Ordinal Regression for Neural Networks with Application to Age Estimation

Language: Python - Size: 6 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 313 - Forks: 63

jsay/geoInd

The Informational Content of Geographical Indications

Language: HTML - Size: 32.7 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

sbhattacharyay/DeeperIMPACT

Deeper IMPACT: Ordinal Models for Outcome Prediction After Traumatic Brain Injury

Language: HTML - Size: 10.1 MB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

willtholke/pyclassify

A scalable ordinal regression model for classifying Python code snippets by readability (1-5)

Language: Jupyter Notebook - Size: 1.22 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

sjsu-smart-lab/Self-supervised-Monocular-Trained-Depth-Estimation-using-Self-attention-and-Discrete-Disparity-Volum

Reproduction of the CVPR 2020 paper - Self-supervised monocular trained depth estimation using self-attention and discrete disparity volume

Language: Python - Size: 2.61 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 57 - Forks: 7

xsswang/remiod

R package for controlled multiple imputation of ordinal or binary responses with missing data in clinical study

Language: HTML - Size: 4.5 MB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

ejikeugba/gofcat

Goodness-of-fit tests for categorical response models

Language: R - Size: 315 KB - Last synced at: 6 days ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

jlsuarezdiaz/KELMOR

A Python Implementation of Kernel Extreme Learning Machine for Ordinal Regression

Language: Python - Size: 5.86 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 14 - Forks: 2

nehapai23/Bayesian-GLM-for-Classification

Generic implementation for Generalized Linear Models including Logistic, Poisson and Ordinal Regression for Classification purposes

Language: Python - Size: 3.21 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 2

ddangchani/IOT_hackathon

서울 공공도시데이터 IOT 해커톤

Language: Jupyter Notebook - Size: 1.94 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

VladMarianCimpeanu/wine-classification Fork of paolobasso99/wine-classification

Final project for Bayesian learning & Montecarlo simulation course attended at Polimi in 2022. The objective is to build a Bayesian model able to predict the quality of a given wine

Language: R - Size: 76 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Jokoe66/TianchiTrafficEstimation

基于车载图像序列的路况分析

Language: Jupyter Notebook - Size: 21.6 MB - Last synced at: 9 months ago - Pushed at: about 3 years ago - Stars: 4 - Forks: 1

jonathantree/Water_Quality_Analysis

Water quality analysis of web-scraped data from EWG, and US Census to identify underserved communities at risk

Language: Jupyter Notebook - Size: 47 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

anushakabber/Analysis-of-Factors-Influencing-Mental-Health-During-the-Pandemic Fork of Chakita/Analysis-of-Factors-Influencing-Mental-Health-During-the-Pandemic

Repo for project done as part of the Data Analytics ( UE19CS312 ) course at PES University

Language: Jupyter Notebook - Size: 12.3 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 1

theodore1119/collective_action_hk

Analyze individuals' propensity to protest in Hong Kong, using World Values Survey Wave 7 data

Language: R - Size: 119 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

dnbarron/tidyclm

Methods for clm objects

Language: R - Size: 5.86 KB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 3 - Forks: 1

gsantia/yelp-stars

Using machine learning to classify the number of stars associated with a yelp review based on the text

Language: Jupyter Notebook - Size: 326 KB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 0

benkeser/drord

Doubly robust estimators of ordinal treatment effects

Language: R - Size: 2.21 MB - Last synced at: about 6 hours ago - Pushed at: about 4 years ago - Stars: 4 - Forks: 1

christopher-beckham/conway-maxwell-binomial

Implementation of the Conway-Maxwell-Binomial distribution (for unimodal/ordinal classification problems) in PyTorch.

Language: Jupyter Notebook - Size: 130 KB - Last synced at: 3 months ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

worklifesg/Machine-Learning-IBM

This repository is on Machine Learning using Python 3.8.3 using Visual Studio Code. Most of the programs are from IBM Machine Learning course and some algorithms (course out of scope) are presenterd only for learning purpose. These codes will be on topics like Regression, Classification, Clustering and Recommender Systems.

Language: Jupyter Notebook - Size: 4.01 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0

dirmeier/rstansequential

Ordinal sequential regression models in R

Language: Stan - Size: 1.65 MB - Last synced at: 4 months ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0

AndrMenezes/adc2018

Course of Categorical Data Analysis at UEM in 2018

Language: R - Size: 1.41 MB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0

TuomoNieminen/EURO2016

Predicting the european soccer championships matches with ordinal regression, using qualifier data

Language: HTML - Size: 1.33 MB - Last synced at: over 2 years ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0

lafet1/microeconometrics

Assignments from Microeconometrics

Language: R - Size: 4.52 MB - Last synced at: 5 months ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 1

m-clark/categorical-regression-models

Raw files for a document that provides an overview of models for the case of a categorical dependent variable.

Language: R - Size: 4.01 MB - Last synced at: 29 days ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 3

Related Keywords
ordinal-regression 52 ordinal-classification 8 machine-learning 8 logistic-regression 8 deep-learning 7 r 7 python 7 pytorch 6 regression 4 jags 3 classification 3 ordinal 3 multinomial-regression 3 nlp 2 object-detection 2 exploratory-data-analysis 2 data-visualization 2 decision-trees 2 xgboost 2 categorical-data 2 matlab 2 support-vector-machine 2 statistics 2 stan 2 generalized-linear-models 2 bayesian 2 regression-models 2 data-science 2 poisson-regression 2 scikit-learn 2 r-package 2 reproducible-research 1 jump-to-reference 1 econometrics 1 mcmc 1 missing-at-random 1 deeplearning 1 missing-data 1 missing-not-at-random 1 multiple-imputation 1 non-ignorable 1 mlr3 1 pattern-mixture-model 1 reference-based 1 brant-test 1 brier-scores 1 hosmer-lemeshow-test 1 statistical-analysis 1 lung-cancer 1 readability-scores 1 cityscapes-depth-estimation 1 discrete-disparity-volume 1 inplace-activated-batchnorm 1 kitti-dataset 1 code-annotation 1 traumatic-brain-injury 1 outcome-prediction 1 monocular-depth-estimation 1 glasgow-outcome-scale 1 self-attention 1 self-supervised-learning 1 unsupervised-learning 1 control-based 1 copy-reference 1 delta-adjustment 1 center-tbi 1 wine-quality 1 shiny-apps 1 glm 1 data-analytics 1 svm 1 clm 1 tidyr 1 classification-model 1 yelp 1 yelp-dataset 1 causal-inference 1 covid-19 1 double-robust 1 mann-whitney 1 clustering-algorithm 1 knn-classification 1 machine-learning-algorithms 1 non-linear-regression 1 regression-algorithms 1 svm-classifier 1 sequential-regression 1 euro2016 1 predictive-modeling 1 soccer 1 soccer-matches 1 selection 1 two-step 1 categorical-regression-models 1 likelihood-ratio-test 1 lipsitz-test 1 log-loss-score-metric 1 misclassification 1 proportional-odds-test 1 pseudo-r2 1