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# compare algorithms
from pandas import read_csv
from matplotlib import pyplot
from sklearn.model_selection import train_test_split
from sklearn.model_selection import cross_val_score
from sklear…
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Missing bounds check in `sACNDiscoveredSourceListModel::modelContainer::getUniverse()`
Model is reset every time a new source is added, losing selection & scroll.
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Hello,
I'm currently using cuML and cuDF to train multiple models on an A100-40g GPU with 96GB of RAM (Rapids24.04, CUDA11.4).
Despite attempts to manage GPU memory usage by deleting variables us…
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Poultry Diseases Detection
:red_circle: **Aim** : The aim of this project is to detect the problem stat…
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I follow the example to do recursive feature selection and find the target is reduce feature number to `num_features_to_select` .
Instead of set `num_features_to_select`, I want to reduce feature nu…
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As discussed in [the explainer's Goals section](https://github.com/explainers-by-googlers/prompt-api?tab=readme-ov-file#goals), it might be useful to allow web developers to know some identifier for t…
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padding='same' is supported by PyTorch but .....
With too many bugs, I decided to give up [intel-extension-for-pytorch].
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Mostly consists of adding some UI to support this and replacing the hard-coded flow of selecting the first user in the first server in src/apiclient.h
* [x] jellyfin-qt: Do not expose ApiClient as …
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Hi when I try using skgarden's RandomForestQuantileRegressor, I get the following error:
File "C:\Users\.......\anaconda3\lib\site-packages\skgarden\quantile\ensemble.py", line 461, in __init__
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- PyTorch-Forecasting version: 1.0.0
- PyTorch version: 2.0.1+cpu
- Python version: 3.10
- Operating System: Ubuntu
### Expected behavior
I followed this guide [here](https://towardsdatascien…