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Fast Best-Subset Selection Library
r
python
scikit-learn
cox-regression
machine-learning
feature-selection
linear-regression
multitask-learning
ordinal-regression
poisson-regression
logistic-regression
polynomial-algorithm
best-subset-selection
high-dimensional-data
classification-algorithm
sure-independence-screening
principal-component-analysis
robust-principal-component-analysis
sparse-principal-component-analysis
Created
2020-12-20
2,747 commits to master branch, last one about a month ago
Rank Consistent Ordinal Regression for Neural Networks with Application to Age Estimation
Created
2019-01-23
25 commits to master branch, last one 3 years ago
CORAL and CORN implementations for ordinal regression with deep neural networks.
Created
2020-11-07
86 commits to main branch, last one 10 months ago
Ordinal regression models in PyTorch
Created
2018-12-02
14 commits to master branch, last one 2 years ago
Ordinal Regression and Classification Algorithms
Created
2015-07-12
748 commits to master branch, last one 3 years ago
Tensorflow Keras implementation of ordinal regression using consistent rank logits (CORAL) by Cao et al. (2019)
Created
2020-06-20
135 commits to master branch, last one 2 years ago
Ordinal regression in Python
Created
2018-02-14
119 commits to master branch, last one about a year ago
7
62
unknown
4
Reproduction of the CVPR 2020 paper - Self-supervised monocular trained depth estimation using self-attention and discrete disparity volume
Created
2021-01-30
7 commits to master branch, last one 3 years ago
A Python/C++ implementation of Bayesian Factorization Machines
Created
2019-12-21
150 commits to main branch, last one about a year ago
An attempt to diagnose Alzheimer's disease earlier
Created
2019-02-14
99 commits to master branch, last one about a year ago