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I spoke to @tompollard who is the core maintainer of https://github.com/carpentries-incubator/machine-learning-neural-python.
That lesson takes a different angle to deep learning, focusing on comp…
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File "/home/ros/ros_ws/src/primitive_library/src/primitives/js_lds_oa.py", line 7, in
from neural_jsdf.JSDF import arm_hand_JSDF
ModuleNotFoundError: No module named 'neural_jsdf.JSDF'
how…
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this is a python script there are some errors id like you to 1 write all the errors you find a in list and 2 rewrite the code to be correct
"""
def calculate_area(radius):
pi = 3.14
area = pi * …
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https://github.com/modern-fortran/neural-fortran
Issues:
* [x] https://github.com/lfortran/lfortran/issues/4745
* [x] #4759
* [ ] https://github.com/lfortran/lfortran/issues/5393
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# Description
I would like to create a neural CDE for regression. For that, I have taken the example from [neural CDE for classification](https://docs.kidger.site/diffrax/examples/neural_cde/) and ad…
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### Type of Edit (select all that apply)
Add new content (definitions, codeblocks, etc.)
### Description (optional)
We would like to edit the `Convolutional Neural Networks` concept entry under AI.…
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[Adversarial Robustness of Graph Neural Networks](https://mediatum.ub.tum.de/1641938)
```bib
@phdthesis{zugner2022adversarial,
title={Adversarial Robustness of Graph Neural Networks},
author={…
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[𝑝-Laplacian Based Graph Neural Networks](https://proceedings.mlr.press/v162/fu22e.html)
```bib
@inproceedings{fu2022p,
title={$ p $-Laplacian Based Graph Neural Networks},
author={Fu, Guoji a…
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Consideration of the choice between a decision tree and a multilayer neural network. Development of the number of input and output arguments and methods for their parameterization.
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Graph neural networks are a popular choice for forecasting hierarchically structured panels, graph structured panels, or structured variable settings, e.g., energy networks with time series observed a…