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idstcv / ZenNAS

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Reproduce Nas #35

Open sdreamforchen opened 9 months ago

sdreamforchen commented 9 months ago

Hello， Can i do Nas for myself data set based on your source code？

dovedx commented 9 months ago

这是来自QQ邮箱的假期自动回复邮件。   邮件我已经成功接收，我会尽快处理并答复，谢谢！

MingLin-home commented 9 months ago

Sure. Actually our algorithm is data independent, so you do not need to provide any data.

sdreamforchen commented 9 months ago

How about Genet nas？

---Original--- From: "Ming @.> Date: Thu, Oct 12, 2023 10:56 AM To: @.>; Cc: @.**@.>; Subject: Re: [idstcv/ZenNAS] Reproduce Nas (Issue #35)

Sure. Actually our algorithm is data independent, so you do not need to provide any data.

— Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you authored the thread.Message ID: @.***>

MingLin-home commented 9 months ago

GENAS is an early work. ZenNAS is better. If you are interested, our most recent work DeepMAD achieves best results without using any GPU.

https://arxiv.org/abs/2303.02165

On Wed, Oct 11, 2023, 19:59 sdreamforchen @.***> wrote:

How about Genet nas？

---Original--- From: "Ming @.> Date: Thu, Oct 12, 2023 10:56 AM To: @.>; Cc: @.**@.>; Subject: Re: [idstcv/ZenNAS] Reproduce Nas (Issue #35)

Sure. Actually our algorithm is data independent, so you do not need to provide any data.

— Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you authored the thread.Message ID: @.***>

— Reply to this email directly, view it on GitHub https://github.com/idstcv/ZenNAS/issues/35#issuecomment-1758835352, or unsubscribe https://github.com/notifications/unsubscribe-auth/AFIQVWIIWO42INGFUPW3PILX65MHVANCNFSM6AAAAAA53KCGYY . You are receiving this because you commented.Message ID: @.***>

sdreamforchen commented 9 months ago

thanks I will read detailedly

---Original--- From: "Ming @.> Date: Thu, Oct 12, 2023 11:07 AM To: @.>; Cc: @.**@.>; Subject: Re: [idstcv/ZenNAS] Reproduce Nas (Issue #35)

GENAS is an early work. ZenNAS is better. If you are interested, our most recent work DeepMAD achieves best results without using any GPU.

https://arxiv.org/abs/2303.02165

On Wed, Oct 11, 2023, 19:59 sdreamforchen @.***> wrote:

> How about Genet nas？ > > > > ---Original--- > From: "Ming @.&gt; > Date: Thu, Oct 12, 2023 10:56 AM > To: @.&gt;; > Cc: @.**@.&gt;; > Subject: Re: [idstcv/ZenNAS] Reproduce Nas (Issue #35) > > > > > > Sure. Actually our algorithm is data independent, so you do not need to > provide any data. > > — > Reply to this email directly, view it on GitHub, or unsubscribe. > You are receiving this because you authored the thread.Message ID: > @.&gt; > > — > Reply to this email directly, view it on GitHub > <https://github.com/idstcv/ZenNAS/issues/35#issuecomment-1758835352&gt;, or > unsubscribe > <https://github.com/notifications/unsubscribe-auth/AFIQVWIIWO42INGFUPW3PILX65MHVANCNFSM6AAAAAA53KCGYY&gt; > . > You are receiving this because you commented.Message ID: > @.> >

— Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you authored the thread.Message ID: @.***>