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This is a followup to #205.
Whilst removing the list of modules, files etc. has helped reduce the overall size of the generated documentation still remains relatively large.
I'm not very famil…
d7919 updated
12 hours ago
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It appears as though Claude Coder (or is it kodu-coder?) is currently not smart enough to handle very large files.
I was working on a documentation project that involves trying to get a large swagg…
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### I have checked the following:
- [X] I've searched existing issues and found nothing related to my issue.
### Describe the feature you want to add
A large request body, like json, makes Bruno ir…
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**Describe the bug**
When rendering large Polyhedrons sometimes strange things happens to the polyhedrons.
In this example I have created two polyhedrons (generated with JavaCSG). They are in two se…
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Hello!
We have a massive issue with all versions of ord for our node.
We basically have hundreds of thousands of ordinals that we have accumulated since the inception of Ordinals while creating …
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This resource is making my minimap big for somereason. Only when i reload it while in game the minimap becomes small.
![image](https://user-images.githubusercontent.com/40124862/129457800-1e584af1…
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Dask has started giving me these warnings:
```
/blue/adamginsburg/adamginsburg/miniconda3/envs/python312/lib/python3.12/site-packages/dask/base.py:1539: UserWarning: Running on a single-machine sche…
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**Keras version:** 3.5.0
**Backend:** TensorFlow 2.17.0
I encountered a strange bug when working with the GRU layer. If you create a simple model with a GRU layer and set `recurrent_dropout=0.5`…
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### Description
I have a very large dataset, around 500 gigabytes, which contains various folders and subfolders with multiple Excel files. Due to limited RAM, it is not possible to use these files…
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Sorry to bother you, but maybe this is an easy question for you.
Have you experience with the training of large-scale datasets with this MSECNet training pipeline?
I am stuck on the task of fine…