Colorization | Comparing classification and GAN approaches | Machine Learning library

I am using the (amazing) One Monokai theme in visual studio code. One thing that bothers me is that variable modifers like const and control flow like for, if, while, ... are displayed using the same color. Based on this tutorial, I tried a custom coloring by adding to settigs.json:

I'm trying out monaco editor and I'm having real difficulty understanding how to create my own rule for syntax highlighting. (I'd really appreciate it if you had a resource that explains how to create rules)

I'm starting with the simple stuff:

• I'd like to add a special color for my variable at declaration. ie: a = 12, having color on a
• Add a special color for builtins functions. ie: builtin(a, b), having color on builtin

I'm using https://microsoft.github.io/monaco-editor/monarch.html to try the rule in real-time here is my syntax definition

I made a world map with specific data using choropleth from plotly. For some countries I have missing values ​​and this gives me uncolored areas and especially without being able to identify them.

Edit: I found how to colorize the countries with missing values ​​by adding this in the "geo=dict()" of "update_layout":

With "Bracket Pair Colorizer 2", we can give a custom line between a bracket pair, one configuration is like following:

I want to use Matplotlib to create tables to be exported to a pdf.

I struggle with the following.

1. To in a automated fashion create a list of list for the colorization of the cells. The first columns should be white, the second green, and so on.

2. To set an alpha value for rows I color with green, to increase transparancy.

I get the following error for a GAN model I am using to perform image colorization. It uses the LAB color space as is common in image colorization. The generator generates the a ad b channels for a given L channel. The discriminator is fed all three channels after concatenation.

RuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation: [torch.cuda.FloatTensor [64, 64, 128, 128]], which is output 0 of ReluBackward0, is at version 1; expected version 0 instead. Hint: enable anomaly detection to find the operation that failed to compute its gradient, with torch.autograd.set_detect_anomaly(True).

I believe the error is due to the skip connections but I cannot quite put my finger on it. Any help would be appreciated!

Here is the model:

Here's the code:

Code of .ipynb file:

Python is detected:

The code has color in jupyter notebook:

I tried setting up a jupyter notebook in vs code in an anaconda environment. I have tried - Python: Select interpreter and selected my anaconda environment. Made sure python is in the environment: python --version: Python 3.8.8. Tried clicking on CVE(in the bottom right corner) to change to python (picture 2). The colorization of the code works fine in the interactive window of jupyter notebook (picture 3).

How do I enable bracket pairs colorizations in Monaco editor version 0.28.1

I'm able to create a working editor with the following code, but brackets are not colorized.