sensorium

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[Bug] Inconsistency with neuralpredictors with loading SOTA sensorium model weights

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@MaxFBurg After all the issues were fixed with independent_bn_bias, we have a new problem: The code works as intended, but it is not backwards compatible. If Sensorium and neuralpredictors with...

KonstantinWilleke

Question: numpy dependency

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Hi @KonstantinWilleke @mohammadbashiri @kklurz , I think (some) of you specified the package dependencies. Do you know why `numpy>=1.22.0` is required and if a lower version would work as well...

MaxFBurg

https://github.com/sinzlab/sensorium/blob/e5017df2ff89c60a4d0a7687c4bde67774de346b/sensorium/training/trainers.py#L85

fabiansinz

Was talking to @KonstantinWilleke just now and we had some ideas for improving the participation experience: 1. Provide the demo notebooks in Google colab 2. Provide an extra notebook to...

mohammadbashiri

Improving the default model flexibility

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I would suggest to add **kwargs [here](https://github.com/sinzlab/sensorium/blob/main/sensorium/models/models.py#L54) and [here](https://github.com/sinzlab/sensorium/blob/main/sensorium/models/models.py#L124) as otherwise it does not allow to change some of the parameters, which are not stated in the function while they...

pollytur

Improving model-training notebook and 'trainers.py'

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1. The standard trainer will not stop and will not give any warning if the loss when to 'nan', it will just keep training. 2. It would be nice to...

pollytur

RuntimeError: No CUDA GPUs are available even when using device='cpu'

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When running `submission.generate_submission_file(trained_model=model, dataloaders=dataloaders, data_key=dataset_name, path="./submission_files/", device="cpu")` I still get a `RuntimeError: No CUDA GPUs are available` even when using device='cpu'

aaprasad

A couple of issues in model_predictions from submission.py

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Hi, I was using your submission example notebook to generate my submission files and I came across a couple of errors that I tried resolving manually and just wanted to...

aaprasad