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In the mnist example there should be explicit comments about the default nature of the `F.nll_loss` which is to average the results over the mini-batch. The other thing that can lead to errors is the …
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I tried reducing the batch size to 4. It does not throw the error when using CPU. I ran the code with 15 epochs.
 at each optimization step:
```python
class OpenES:
...
def ask(self)…
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I've been comparing BanditPAM to FasterPAM on the first 10k instances of MNIST:
https://colab.research.google.com/drive/1-8fMll3QpsdNV5widn-PrPHa5SGXdAIW?usp=sharing
BanditPAM took 791684.18ms
…
kno10 updated
2 years ago
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Hi, thanks for sharing the awesome code. I noticed the data need to be downloaded as npy file, can you share the script of generating colored MNIST so I can customize my data? Thanks
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Hello!
First off big fan of your work!
I am having some issues with running the standalone (make mnistSA, where I edit mnist to true in globals) I always get a segfault.
GDB gives me the fo…
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Hi, thanks for sharing these great implementation on github! Nice work.
I ran your notebook **Uncertainty_Demo_MNIST.ipynb**.
However I can not get the same results as it showed in the notebook o…
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when i try basic models, i get follow error.
Python 3.6.0 (v3.6.0:41df79263a11, Dec 23 2016, 08:06:12) [MSC v.1900 64 bit (AMD64)] on win32
Type "copyright", "credits" or "license()" for more …
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Hello,
When running DeepDIG with the same parameters as a previous run (i.e. same dataset, DNN type and classes), I noticed that every subsequent run loads the autoencoder trained in the previous run…