GitHub topics: ordinal-regression
al8xi8/PBHS32700_UChicago2024
Coursework, Stata code, and notes for PBHS 32700: Biostatistical Methods (Spring 2024, University of Chicago). Topics include contingency tables, logistic regression, Poisson and negative binomial models, and survival analysis using Kaplan-Meier, Cox, and parametric models. The course emphasizes categorical and time-to-event analysis using Stata.
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TiagoCavalcante/olist-review-pred
Predict customer star-ratings (1-5) for Olist e-commerce orders using numeric features and spaCy FastText text embeddings; compares linear, multinomial-logistic, and ordinal-logistic models with balanced training data and clear evaluation visuals.
Language: Jupyter Notebook - Size: 42.1 MB - Last synced at: about 16 hours ago - Pushed at: 13 days ago - Stars: 0 - Forks: 0
tohtsky/myFM
A Python/C++ implementation of Bayesian Factorization Machines
Language: C++ - Size: 1.45 MB - Last synced at: 4 days ago - Pushed at: 6 days ago - Stars: 55 - Forks: 14
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: 4 days ago - Pushed at: almost 2 years ago - Stars: 237 - Forks: 26
mosh98/Ordinal_Classifier
Introduce order in your classification within 1 line
Language: Jupyter Notebook - Size: 66.4 KB - Last synced at: 9 days ago - Pushed at: over 2 years ago - Stars: 14 - Forks: 2
grantgasser/Alzheimers-Prediction
An attempt to diagnose Alzheimer's disease earlier
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abess-team/abess
Fast Best-Subset Selection Library
Language: C++ - Size: 209 MB - Last synced at: 2 months ago - Pushed at: 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: 3 months ago - Pushed at: 3 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: 9 days ago - Pushed at: 5 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: 3 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: 3 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: 7 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: 17 days ago - Pushed at: over 3 years ago - Stars: 81 - Forks: 24
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: 4 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: 3 months ago - Pushed at: 4 months ago - Stars: 16 - Forks: 1
tomealbuquerque/ordinal-datasets
A list of ordinal datasets publicly available
Size: 25.4 KB - Last synced at: 6 months ago - Pushed at: 6 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: 7 months ago - Pushed at: 7 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: 5 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: 5 days ago - Pushed at: 8 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: 10 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: 12 months ago - Pushed at: 12 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)
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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: over 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: over 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: 4 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: almost 2 years 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
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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: over 2 years ago - Pushed at: over 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
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ejikeugba/gofcat
Goodness-of-fit tests for categorical response models
Language: R - Size: 315 KB - Last synced at: 5 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: almost 5 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
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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: almost 3 years ago - Stars: 0 - Forks: 0
Jokoe66/TianchiTrafficEstimation
基于车载图像序列的路况分析
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jonathantree/Water_Quality_Analysis
Water quality analysis of web-scraped data from EWG, and US Census to identify underserved communities at risk
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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
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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: almost 2 years 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
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benkeser/drord
Doubly robust estimators of ordinal treatment effects
Language: R - Size: 2.21 MB - Last synced at: 10 days 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.
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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.
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dirmeier/rstansequential
Ordinal sequential regression models in R
Language: Stan - Size: 1.65 MB - Last synced at: 5 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
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lafet1/microeconometrics
Assignments from Microeconometrics
Language: R - Size: 4.52 MB - Last synced at: 6 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: about 2 months ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 3