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**Is your feature request related to a problem? Please describe.**
The package contains a good set of examples. But their comprehensibility is not up to the mark, especially for someone who is just s…
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Dear Prof.Lu, l see that the example codes you put here are codes that deal with scalar outputs, by saying 'scalar' l mean at each position or time instance where the output function is evaluated, th…
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## Keyword: differential privacy
### State-of-the-Art Approaches to Enhancing Privacy Preservation of Machine Learning Datasets: A Survey
- **Authors:** Chaoyu Zhang
- **Subjects:** Cryptography an…
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It could be a simple notebook explaining in a nutshell how to execute a job using tensorboard, for example, for DeepONets, PINNs or VAE.
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**Is your feature request related to a problem? Please describe.**
I'm currently trying to use physics informed DeepONets, and I'm struggling to get them working.
**Describe the solution you'd lik…
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I run this code
```
tf.reset_default_graph()
v1 = tf.Variable(tf.constant(0.1, shape = [2]), name="v1")
v2 = tf.Variable(tf.constant(0.2, shape = [2]), name="v2")
saver = tf.train.Saver()
with…
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Hello, in the Navier-Stokes DeepONet model:
https://github.com/Zhengyu-Huang/Operator-Learning/blob/b7c484150fb9bb62441deee1f3cbb2ecfec68dc3/Navier-Stokes/nn/DeepONet/learnDeepONet.py#L31-L33
whe…
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## 🚀 Feature
Enable gradient calculations during evaluation loops.
### Motivation
Some loss functions require the gradients of the outputs with respect to the inputs. For example, a physics i…
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Thanks for the great package.
I am attempting to validate / learn the framework on a simple incompressible steady state fluid mechanics problem, but seem to be having trouble with the convergence. …