tutorials
Here are 206 public repositories matching this topic...
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"Multi-task training to efficiently combine object detection, segmentation, and classification models" is a feature of icevision. However, I don't know how to use icevision to do multi-task learning like object detection and classication. I just need a simple example without details.
Don't remove
Main issue for examples: #39
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The init module has been deprecated, and the recommend approach for generating initial weights is to use the Template.shape method:
>>> from pennylane.templates import StronglyEntanglingLayers
>>> qml.init.strong_ent_layers_normal(n_layers=3, n_wires=2) # deprecated
>>> np.random.random(StronglyEntanglingLayers.shape(n_layers=3, n_wires=2)) # new approachWe should upd
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🚀 Feature
Dynamically extend the time limit for running CI on PR touching more content
Motivation
do not penalise PR which are touching multiple notebooks
Additional context
Run one tiny job which would determine how many notebooks are changed, and pass this count N to the test job and for example set timeout for testing as N*30min
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It would be nice to add version info and future up-comings in the about page.
The new releases can be fetched through the GitHub API v3.
End-Point : https://api.github.com/repos/Bhupesh-V/tutorialdb/releases/latest
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Introduction
We would like to have a pylint check for indentation in Python code. This will likely require a custom lint check. Here are some of the cases we want to handle:
Indent By 4 Spaces
Good:
Bad: