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Hallo jomjol,
ich muss mich noch mal melden:
![image](https://user-images.githubusercontent.com/74489990/99272641-4f597e00-2828-11eb-9fa9-4b6974844c3a.png)
Was kann ich in diesem Fall noch zur Ve…
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https://arxiv.org/pdf/1912.01412.pdf
Could make use of ModelingToolkit for the representation and build a solver!
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Hi there, I'm creating a repository of code exercises for a class. I provide a Project.toml to make things reproducible, however I need to have the latest version of DynamicalSystems.jl, which require…
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Currently, we can either parametrize our ODE using the output from a neural network and optimize over its parameters θ. This seems to be the usual path. Alternatively, can also optimize over coefficie…
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I'm currently trying to understand the whole Neural ODE Framework a bit better.
At the moment I feel a bit stuck. I don't really get what the output of a `NeuralODE` Layer is exactly.
My example c…
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Planned features:
- [ ] Redesign of the `plotting` API. More modular and less convoluted.
- [x] Add more basis functions for Galerkin Neural ODEs (e.g. RBFs)
- [ ] Base plug-and-play regularization…
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https://arxiv.org/abs/1904.01681
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A planned feature for the next version of `torchdyn` is a model zoo containing models such as [Stable Neural ODEs](https://arxiv.org/pdf/2003.08063.pdf), [Hamiltonian Neural ODEs](https://arxiv.org/pd…
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I would like to apply the neural ODE to capture the dynamics of a system where the training data has very discrete time steps: say each data point is spaced apart by an hour or so.
Now, if I try t…
saihv updated
4 years ago
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When the new repo is as fast as the old one, we can archive the old one.
This is a meta issue to keep track of this goal.
related issues: #16 #23