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* make changes to `GMVAE.py` to get Bernoulli parameters (instead of Gaussian mus and vars) from `pygx` MLP.
* implement `getHyperMNIST` function for MNIST hyperparameters in `hyper.py` (e.g. the py…
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Setting up deep-diva on a new machine (thus possibly related to using torch@1.1) we ran into an issue downloading the mnist dataset.
```bash
$ python3 util/data/get_a_dataset.py --dataset mnist --…
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- [x] MLP
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Hello, I want to implement MNIST, I've based the implementation on [this repo](https://github.com/nex3z/tflite-mnist-android) and the examples posted here, but I have issues getting the predictions, I…
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## Description
While running experiment 4, got a super specific TypeError with the copy() command (see error trace below). Did some digging for a little bit, but couldn't find any problems like this,…
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Thank you very much for sharing the implementation of d-SNE.
I tried to run your code without changing any config. But I can only achieve 76% compared to the 81% stated by you and 87% stated by the…
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Hi, thanks for sharing your code.
I tried it out trainer=SelfEnsembling, source_domain=mnist and traget_domain=mnist_m and I was expecting to get around 95% accuracy on the test subset, target_doma…
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I could not get the adorable DMI attack accuracy and recovery performance on MNIST. I used the same running setting to train the targetor model and launch the DMI attack. could you tell me some possib…
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Hi,
while working on a PyTorch DQN agent for BSuite experiments, I noticed quite bad results on the mnist and mountain car experiments. I see that a similar question was addressed [here](https://gi…
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Hello, when we train with MNIST, we choose episode is 0, if we use other datasets, how many episodes should we choose? such as cifar-10, etc.