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Thank you for your great work! I have a question: Are neural operators suitable for solving inverse problems like image denoising?
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We need to compare with
1. Old `NeuralOperators.jl`
2. Pytorch Neural Operators https://github.com/neuraloperator/neuraloperator
3. Some Jax version?
cc @ayushinav let's prioritize this
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Implement Convolutional Neural Operators:
- https://arxiv.org/abs/2302.01178
- https://github.com/bogdanraonic3/ConvolutionalNeuralOperator
In this task, we could also implement standard U-…
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## Feature request
Request the implementation of the following ONNX operators:
* LogSoftmax
* Softmax
* ReduceMax
## Motivation
These operators are common in neural networks of many types;…
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Couple of strategy/scenarios
1) train-to-train model
- train a sub-class of PDEs with NeuralOperator
- transfer learning pre-trained prediction from NeuralOperator problem to PINNs
- PINNs train…
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What was the grid-resolution of dataset that was used for shape-net car and Ahmed body CFD example in this paper (https://arxiv.org/pdf/2307.15034). I am wokring with `torch==2.0.1+cu117'` and it look…
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### Description
ONNX (Open Neural Network Exchange) provides cross-platform compatibility
An operator that can run inference using ONNX models, ideal for deploying machine learning models in a …
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we need crossover operators:
- interchange body parts
- interchange the neural network of a body part
mutation operators:
- duplicate a random body part tree and paste in another random body pa…
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https://keras.io/examples/vision/3D_image_classification/#define-a-3d-convolutional-neural-network
@Onoyiza This is the example we discussed yesterday. Will probably need some additional onnx opera…