coral-ordinal
Tensorflow Keras implementation of ordinal regression using consistent rank logits (CORAL) by Cao et al. (2019) (by ck37)
NeuralNetworks
Implementation of a Neural Network that can detect whether a video is in-game or not (by ContentAutomation)
| coral-ordinal | NeuralNetworks | |
|---|---|---|
| 2 | 4 | |
| 75 | 65 | |
| - | - | |
| 0.0 | 0.0 | |
| about 2 years ago | over 1 year 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.
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.
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.
NeuralNetworks
Posts with mentions or reviews of NeuralNetworks.
We have used some of these posts to build our list of alternatives
and similar projects.
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I created a video about how you can train a neural network (in python) to learn complex image/video classification tasks (like in-game detection) using transfer learning! The GitHub repo is linked in the video description. Hope this is useful or helpful for some of you guys :-)
Here’s the GitHub link for anyone else like me who didn’t want to have to go to YouTube to get it.
- [P][Code Release] A neural network implementation to detect whether a given video clip is in-game or not using transfer learning (can be applied to all sorts of games)
- We created a neural network implementation to detect whether a given video clip is in-game or not using transfer learning (can be applied to all sorts of games)
- [Code Release] A neural network implementation to detect whether a given video clip is in-game or not using transfer learning (can be applied to all sorts of games)
What are some alternatives?
When comparing coral-ordinal and NeuralNetworks you can also consider the following projects:
InvoiceNet - Deep neural network to extract intelligent information from invoice documents.
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
corn-ordinal-neuralnet - Code and experiments for "Deep Neural Networks for Rank Consistent Ordinal Regression based on Conditional Probabilities"
Ordinal_Classifier - Introduce order in your classification within 1 line