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Dear Authors,
I am trying to reproduce the results of https://arxiv.org/pdf/1810.09026.pdf based on pytorch. The idea in this paper is very interesting. Before my implementation, I run the experime…
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#### Issue description
Description of the issue - include code snippets and screenshots here
if relevant. You may use the following template below
* *Expected behavior:* (What you expect to hap…
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Just for curiosity, I tried to profile a tensorflow and a pytorch script using scalene but got segmentation faults for both scripts.
The python scripts come from tensorflow and pytorch tutorial.
…
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Hi, I'm trying to feed pytorch tensor but encounter the following problem. It seems an incompatible problem with eagerpy.
Here is my code:
```
model = foolbox.models.PyTorchModel(model, bounds=(0…
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![week3.png](https://i.loli.net/2020/04/06/cjZO5HoTvt2kfqd.png)
## Done
- [x] 学习莫烦的PyTorch教程基础
- [x] 上手YOLOv3检测过程的代码
### `3.30-4.2`
考虑到第一次用[官方的PyTorch入门文档](https://pytorch.org/tutorials/beg…
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**Problem:** In Stochastic Gradient Descent sometimes the descent will suddenly go unstable even with a step size set as low as you can go (limited by FLoat32 precision). This is not preventable wit…
cems2 updated
4 years ago
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This was discovered while working on #19.
We blindly assume that a 0.5 threshold (which we get from `torch.round`) is a good threshold.
Let's not assume that (since it's quite presumptuous) an…
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Currently, only language implemented is Python.
P.S. I would like to work on this.
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Hey there,
In many of your examples you seem to be using the test data as validation data, wouldn't this create an overfitted model that is unable to generalise?
Example: https://github.com/fchollet…
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Hello,
Outside of the training function, I set:
```python
# define the hyperparameters for running the train function.
optimizer_ch2 = AdamW(model_ch2.parameters(), lr = lr, correct_bias = True)…