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1. Your model was trained on a 6000-image dataset. So for each image, how did you crop them?
2. What's your training/validation accuracy after you finished training the model?
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### Issues Policy acknowledgement
- [X] I have read and agree to submit bug reports in accordance with the [issues policy](https://www.github.com/mlflow/mlflow/blob/master/ISSUE_POLICY.md)
### W…
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We should add the possibility to include a switching function on the angle to define a hydrogen bond. I do not know if there is a conventional way to do it.
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I am trying to implement linear regression from scratch (both in terms of code and math knowledge) for learning purposes.
I went from loops to NumPy, then from computing the gradient by hand to le…
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### Ticket Contents
## Description
A Task Manager is a platform for managing task, subtask & events for users. It offers a user-friendly interface to maintain the task, subtask & events. This plat…
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因为 task-specific data 有限，难蒸馏出好 student model，所以用 mixup 增强数据，teacher 对插值的输入预测，student 学习该预测结果(loss_3，带调节系数超参)，直接学插值输入对应的插值标签(loss_2，带调节系数超参)，学习原始数据(loss_1，无系数)。提供了一些理论证明，在GLUE上做了实验有效。
__Experimental Nintendo Switch Emulator written in C#__
35 stars today | 26,…
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Hello,
I just have a couple of clarifying questions to ask.
I am a little bit unclear how you come up with final 0.9544 Dice coefficient value in the published MIScnn paper. Is there some kind o…