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@proppy and @tdene have demonstrated that Python Jupyter Notebooks are a great way to documentate and demonstrate the usage of things like vlsiffra. See https://colab.research.google.com/github/tdene/synth_opt_adders/blob/master/docs/notebooks/intro.ipynb for example.
There are also other examples at https://bit.ly/jupyter-silicon
Once you have that a notebook going it then also becomes trivial to hook it up to Google's Vertex AI black box tuner!
I'm sure that @proppy would be interested in helping.
The text was updated successfully, but these errors were encountered:
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@proppy and @tdene have demonstrated that Python Jupyter Notebooks are a great way to documentate and demonstrate the usage of things like vlsiffra. See https://colab.research.google.com/github/tdene/synth_opt_adders/blob/master/docs/notebooks/intro.ipynb for example.
There are also other examples at https://bit.ly/jupyter-silicon
Once you have that a notebook going it then also becomes trivial to hook it up to Google's Vertex AI black box tuner!
I'm sure that @proppy would be interested in helping.
The text was updated successfully, but these errors were encountered: