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.ipynb_checkpoints
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25d68667cb
commit with assisted DE
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6 anni fa |
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__pycache__
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5c2211c4cd
ready for global opt
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6 anni fa |
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datasets
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9af47cfec1
conv layer nets added and working
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6 anni fa |
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materials
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1d7b8580a1
again
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6 anni fa |
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models
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25d68667cb
commit with assisted DE
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6 anni fa |
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results
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25d68667cb
commit with assisted DE
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6 anni fa |
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barplotting.ipynb
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5c2211c4cd
ready for global opt
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6 anni fa |
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de_conv.ipynb
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25d68667cb
commit with assisted DE
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6 anni fa |
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hypoptim.ipynb
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25d68667cb
commit with assisted DE
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6 anni fa |
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hyptune.py
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1e493c3bd5
further develp in conv scatter nets
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6 anni fa |
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make_dataset.py
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1d7b8580a1
again
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6 anni fa |
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mxmodel.ipynb
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25d68667cb
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6 anni fa |
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pygmoimp.ipynb
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25d68667cb
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6 anni fa |
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pymietest.ipynb
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25d68667cb
commit with assisted DE
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6 anni fa |
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scatternet.ipynb
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25d68667cb
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6 anni fa |
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scipydiffe.ipynb
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25d68667cb
commit with assisted DE
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6 anni fa |
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scnets.py
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85e716f303
Almost ready for global optimization
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6 anni fa |
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snlay.py
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85e716f303
Almost ready for global optimization
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6 anni fa |
Ravi Hegde
25d68667cb
commit with assisted DE