Sinabs

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* added zero\_grad to network
* wip enable learning
* set spike thresholds in from\_torch to tensors by default, get rid of torch testing FutureWarning
* convert spike\_threshold to tensor if a float in the constructor
* make spike\_treshold a tensor instead of a float by default
* added zero\_grad function
* updates to latest sinabs requirements

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* add utils functions to documentation
* update tutorial notebooks to use batch\_size or num\_timesteps for from\_model
* set default\_factory for SpkConverter dataclass
* undo default batch\_size of 1 for from\_torch.from\_model
* exclude samna log files
* get rid of test warnings: Dropout instead of Dropout2d, no autograd fn instantiation, torch.arange

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* more docstring updates for layers plus cross-references in API documentation
* add shape and attributes to layer docstrings
* Layer docstring updates, now including constructor type hints automatically
* fix MultiGaussian surrogate gradient and add Gaussian surrogate gradient function
* Update README.md
* add Repeat auxiliary layer
* Update ci-pipeline.yml

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* exclude generated authors / changelog files
* Removed pandas dependency. Adjusted tests accordingly
* add speck2e config builder

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* additional minor docstring update
* update some more docstrings for activation modules
* doc strings updated