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To help us improve and extend the toolkit, please let us know how would you use our multimodal VAE toolkit. Your answer can help us with deciding what to focus on first.
Do you intend to develop your own approach and easily compare it with other models?
This would mean you are interested in more extensions on the model side, such as more objective functions, mixing approaches, and more experimental parameters to play with. This would also enhance the integration of other established benchmarks and their automated evaluation.
Do you intend to choose an existing model and apply it on your own real-world data?
This would mean adding a wider range of encoder and decoder networks and also other real-world datasets that are perhaps not ideal for systematic comparison but can be used as a template for your own data. We can also add tutorials and guidelines on how to get the best possible performance for your use case in our documentation.
How do you intend to use the tookit?
To develop your own approach and easily compare it with other models
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To choose an existing model and apply it on your own real-world data
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To help us improve and extend the toolkit, please let us know how would you use our multimodal VAE toolkit. Your answer can help us with deciding what to focus on first.
This would mean you are interested in more extensions on the model side, such as more objective functions, mixing approaches, and more experimental parameters to play with. This would also enhance the integration of other established benchmarks and their automated evaluation.
This would mean adding a wider range of encoder and decoder networks and also other real-world datasets that are perhaps not ideal for systematic comparison but can be used as a template for your own data. We can also add tutorials and guidelines on how to get the best possible performance for your use case in our documentation.
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