NeuralNetworks
Implementation of a Neural Network that can detect whether a video is in-game or not (by ContentAutomation)
coral-ordinal
Tensorflow Keras implementation of ordinal regression using consistent rank logits (CORAL) by Cao et al. (2019) (by ck37)
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| NeuralNetworks | coral-ordinal | |
|---|---|---|
| 4 | 2 | |
| 65 | 75 | |
| - | - | |
| 0.0 | 0.0 | |
| over 1 year ago | about 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.
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.
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)
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.
What are some alternatives?
When comparing NeuralNetworks and coral-ordinal 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