Alexnet implementation in tensorflow has incomplete architecture where 2 convolution neural layers are missing. This issue is in reference to the python notebook mentioned below.

https://github.com/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/tensor-flow-examples/notebooks/3_neural_networks/alexnet.ipynb

I was going though the existing enhancement issues again and though it'd be nice to collect ideas for spaCy plugins and related projects. There are always people in the community who are looking for new things to build, so here's some inspiration ✨ For existing plugins and projects, check out the spaCy universe.

If you have questions about the projects I suggested,

I'm looking at the react tutorial at https://github.com/amark/gun/wiki/React-Tutorial and noticed that the code examples are using depreciated lifecycle methods such as componentWillMount.

Use case
ClickHouse/ClickHouse#7971

Stefan Behnel wrote:

No. "@cython.cfunc" declares a function or method as a pure C function,
without a Python interface to it, and for methods, it only applies to
extension types and not regular Python classes.

It's interesting that Cython allowed you to set it on the "__iter__" method
which cannot, in fact, be a C method because it's one of Python's special
methods. We s

I would like to point out that identifiers like “_DLL_HEADER” and “_MOLOCH_LUA_” [do eventually not fit](https://www.securecoding.cert.org/conf