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Optimize DN benchmarks with standard library & hyper-parameter tuning #31

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PSSF23 opened this issue Aug 18, 2021 · 3 comments
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enhancement Concerning all tasks ndd Neuro Data Design

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@PSSF23
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PSSF23 commented Aug 18, 2021

No description provided.

@PSSF23 PSSF23 added the enhancement Concerning all tasks label Aug 18, 2021
@PSSF23 PSSF23 self-assigned this Aug 18, 2021
@PSSF23 PSSF23 added the ndd Neuro Data Design label Aug 26, 2021
@tongh18
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tongh18 commented Sep 10, 2021

I will work on this issue

@PSSF23
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PSSF23 commented Feb 15, 2022

@adwaykanhere can you comment here?

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Yes! I would like to work on this issue.

PSSF23 pushed a commit that referenced this issue Aug 1, 2022
…sue #31) (#66)

* Added preprocessing file

* Create fsdk18tuning.py

* upload cifar10_tuning.py

* Update cifar10_tuning.py

* Update cifar10_tuning.py

* Update cifar10_tuning.py

* Update cifar10_tuning.py

* Update cifar10_tuning.py

* Update cifar10_tuning.py

* Update cifar10_tuning.py

* Update cifar10_tuning.py

* Update cifar10_tuning.py

* Update toolbox.py

* Final changes to fsdk18tuning

* black all audition files

* black formatted vision tuning

* Added cifar100_tuning.py

* added tune times and fixed train times

* Fixed initialization and model loading

* Black formatted files again

* Update requirements.txt

* Changes to requirements and fixed resnet forfsdk18tuning

* changes to loaders

* Removed cifar tuning temporarily

* Black formatted

* Update toolbox.py

* Added changes for NDD PR

* Update requirements.txt

* Black format toolbox

* Update requirements.txt
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enhancement Concerning all tasks ndd Neuro Data Design
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