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## 🚀 Feature
Cross-Validation is a crucial model validation techniques for assessing how the model generalizes on new data.
### Motivation
Research papers usually require cross-validation. Fro…
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Creating this issue to document my observations, readings, and development efforts towards building a solution for predicting the replaced mode in the absence of inferred labels.
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How much data is typically required to train nnU-Net for segmenting veins and arteries? I have used 500 datasets, but the final performance is only 0.8. How can I improve it?
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### 1. Feature description
Hyperparameter optimization functionality ([grid/random search](https://scikit-learn.org/stable/modules/classes.html#hyper-parameter-optimizers)) using a library like [skor…
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## Keyword: efficient
### End-to-end codesign of Hessian-aware quantized neural networks for FPGAs and ASICs
- **Authors:** Javier Campos, Zhen Dong, Javier Duarte, Amir Gholami, Michael W. Mahoney,…
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We are given the CINC2020 dataset consisting of around 80k samples with 24 classes. Each sample can have one or more classes. The CINC2020 data is very imbalanced (page 5 in https://iopscience.iop.org…
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I was reviewing the DEAP approach in the examples and was wondering if there is possibility to transform the Valence and the Arousal labels simultaneously during the loading
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```
dataset = DEAPD…
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## Keyword: differential privacy
### State-of-the-Art Approaches to Enhancing Privacy Preservation of Machine Learning Datasets: A Survey
- **Authors:** Chaoyu Zhang
- **Subjects:** Cryptography an…
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Hi!
Thanks a lot for this amazing template and project.
I was curious to know that can we do K-Fold cross validation using Pytorch Lightning with Hydra?.
Thank You
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hi, i can't find a way to use pytorch with GPU in Cleanlab to accelerate the process. it takes days to find label issue when i use cross_val_predict as this
```python
train_dataset - datasets.ImgaeF…