coral-ordinal
Tensorflow Keras implementation of ordinal regression using consistent rank logits (CORAL) by Cao et al. (2019) (by ck37)
corn-ordinal-neuralnet
Code and experiments for "Deep Neural Networks for Rank Consistent Ordinal Regression based on Conditional Probabilities" (by Raschka-research-group)
| coral-ordinal | corn-ordinal-neuralnet | |
|---|---|---|
| 2 | 1 | |
| 75 | 20 | |
| - | - | |
| 0.0 | 0.0 | |
| about 2 years ago | almost 2 years ago | |
| Python | Python | |
| MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
coral-ordinal
Posts with mentions or reviews of coral-ordinal.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-08-16.
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[D] Why is Ordinal Regression so overlooked?
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.
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Hey all, I'm Sebastian Raschka, author of Machine Learning with Pytorch and Scikit-Learn. Please feel free to ask me anything!
Also, I often need to do some custom stuff for my research projects. E.g., take CORAL and CORN as an example (https://raschka-research-group.github.io/coral-pytorch/). Here, I needed custom losses and slight modifications to the forward pass. This was relatively easy to do in PyTorch. Someone was so kind to port it to TensorFlow/Keras (https://github.com/ck37/coral-ordinal/tree/master/coral_ordinal), but the code is much more complicated. For research and tinkering, I much prefer working with PyTorch.
corn-ordinal-neuralnet
Posts with mentions or reviews of corn-ordinal-neuralnet.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-03-04.
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Hey all, I'm Sebastian Raschka, author of Machine Learning with Pytorch and Scikit-Learn. Please feel free to ask me anything!
You could implement all the things PyTorch Lightning does yourself, but it would be more messy and more work. I kind of did that for logging and checkpointing, and it was very hard to maintain and read for others. Here's an example :P https://github.com/Raschka-research-group/corn-ordinal-neuralnet/tree/main/model-code/refactored-version/cnn-image/helper_files
What are some alternatives?
When comparing coral-ordinal and corn-ordinal-neuralnet you can also consider the following projects:
InvoiceNet - Deep neural network to extract intelligent information from invoice documents.
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
segmentation_models - Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
coral-cnn - Rank Consistent Ordinal Regression for Neural Networks with Application to Age Estimation
Ordinal_Classifier - Introduce order in your classification within 1 line
NeuralNetworks - Implementation of a Neural Network that can detect whether a video is in-game or not