coral-cnn

Rank Consistent Ordinal Regression for Neural Networks with Application to Age Estimation (by Raschka-research-group)

Coral-cnn Alternatives

Similar projects and alternatives to coral-cnn based on common topics and language

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better coral-cnn alternative or higher similarity.

coral-cnn reviews and mentions

Posts with mentions or reviews of coral-cnn. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-16.
  • [D] Why is Ordinal Regression so overlooked?
    2 projects | /r/MachineLearning | 16 Aug 2022
    The most recent and usable DL attempt I have found is the CORAL/CORN frameworks (keras, pytorch) which have just a few stars, and that's it.
  • [D] can regression models be used for ranking?
    1 project | /r/MachineLearning | 30 Jun 2021
    To your question, there are specific types of models called ordinal regression / ordinal classification models that do not assume a metric distance between values. E.g., if you have "20/hr, $15/hr, $0/hr" these models don't assume that the distance between 0 and 15 is 3x the distance between 20 and 15. It just assumes 20 > 15 > 0. We worked on this a bit in the context of neural networks: https://www.sciencedirect.com/science/article/pii/S016786552030413X , https://raschka-research-group.github.io/coral_pytorch/
  • [D] Modeling class errors
    1 project | /r/MachineLearning | 2 Apr 2021
    If you are interested, I recently worked on a simple ordinal regression approach for neural networks here: https://www.sciencedirect.com/science/article/pii/S016786552030413X
  • [R] [D] What machine learning methods can be used for ordinal regression?
    1 project | /r/MachineLearning | 18 Jan 2021
    Just took a quick look at that paper, it sounds like a good approach. If you are interested, we recently developed an ordinal regression approach with implementation in PyTorch (https://github.com/Raschka-research-group/coral-cnn). Someone also recently ported it to Keras: https://github.com/ck37/coral-ordinal. I haven't read the paper you mentioned in detail, but it seems our method is similar except that we add the probabilities that are >0.5 and that we have theoretical guarantees. rank consistency.
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Stats

Basic coral-cnn repo stats
4
323
0.0
almost 3 years ago

Raschka-research-group/coral-cnn is an open source project licensed under MIT License which is an OSI approved license.

The primary programming language of coral-cnn is Python.


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