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For the labs, there are many different hardware solutions to pick from. we want to have one generic template that everyone follows so that vendors can produce their work according to that. Need to put…
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I am trying to work with nnUNetv2 on a linux server.
My env has the following configurations:
```
torch 2.3.0
pip 24.0
python 3.9.19
nvcc -V
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c…
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Hi,
I hope you are well. I am trying to run nnUNet model. I could run it on Google without any problem. However, when I want to run it on a cluster, I get "RuntimeError: One or more background wor…
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微博内容精选
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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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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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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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### 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…