Sinabs

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* add complete tutorial notebooks since their execution is deactivated on the docs server
* exclude some notebooks from automatic documentation build because they take very long
* update documentation with how tos and gallery
* add matplotlib to docs requirements
* added sphinx gallery to docs requirements
* blacken whole package
* add documentation autosummaries for layers and activations. Small docstring modifications
* first version of Sinabs gallery instead of tutorial notebook that plots neuron models
* added pre-commit hooks for black

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* Bump stable PyTorch version from 1.10 to 1.12 in CI pipeline
* Fix bug in tutorial due to API update
* Update README.md
* Update README.md
* Fix handling of non-scalar tau\_syn
* Prevent non-integer arguments to Squeeze class from breaking code

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* Fix critical bug in LIF synaptic forward dynamics
* re-naming from BufferSinkNode to BasicSinkNode
* add unit test for speckmini chips config building
* override get\_default\_config method for speck2dmini config builder
* add config builder for speck2dmini
* override get constraints method for speck2cmini device
* added speck2cmini to the chipfactory
* added speck2cmini configbuilder
* moved config dict generation to builder
* Prevent in-place updates of already recorded state
* hotfix in IAF.\_param\_dict
* Bugfix in param\_dict and unit test
* Unit test and bugfix
* Include . Don't change device when converting between tau and alpha
* make UnflattenTime also work for Pytorch 1.8
* Requirements updated to samna version 0.14.19
* Get rid of get\_opened\_device and its uses
* Update from\_torch.py
* marked test skip
* reuse get\_opened\_device in open\_device
* make sure that moving a network to an opened device doesn't cause an error
* test without re-opening
* update samna install instructions
* also pass randomize arg to spiking layer reset\_states()
* change test device to speck2b in large\_net test
* update tutorial notebook with reset\_states() and fix small bug in config builder
* event constructor modified
* typo in event name
* added sleep time after reset
* Theme updated
* added set\_all\_v\_mem\_to\_zeros method to erase all of vmem memory
* docs updated
* chip\_layer\_ordering only accepts cnn core layers and not the dvs layer
* changed default flag to false
* added test for PeriodicExponential
* added to init file
* added periodic exponential method
* add output normalisation to chip deployment tutorial to make it work much better
* using non-cached property as otherwise failing for Python 3.7
* Remove tau\_mem as a parameter from IAF
* from\_model takes same parameters as IAF

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* update SNN synops tutorial
* make SNNSynopsCounter work as a loss function
* add first version of synops counter tutorial notebook
* additional parameter added to reset network
* additional parameter added to reset stateful layer
* fixes state recording issue in ExpLeak
* Update README.md
* moved parse\_device\_string into utils. No need of samna to run other modules
* added speck2b tiny support

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* Rename remaining threshold arguments to spike\_threshold for more consistency
* Update .gitlab-ci.yml
* Update jupyterlab-requirements.txt

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* Update ci-pipeline.yml
* Update requirements.txt