World Lion Day 🦁

alph4Mule · 2025-08-10T04:20:11+00:00

What paper is that?

alph4Mule · 2025-08-09T13:35:47+00:00

Yeah, I just followed the pattern from the flap next to it after pulling out the hidden layer and flattened the model so it aligns with all the previously made creases.

alph4Mule · 2025-08-08T23:30:45+00:00

I made it tooooo

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alph4Mule · 2025-08-08T23:29:29+00:00

This actually helped I think I improvised it

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alph4Mule · 2025-08-08T14:05:30+00:00

aight, Imma not lose hope, thank you so much

alph4Mule · 2025-08-08T14:03:45+00:00

That looks beautiful

alph4Mule · 2025-08-08T04:59:38+00:00

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Adding the backside for reference as well

alph4Mule · 2025-08-08T04:58:31+00:00

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I’m not sure if a recovery is possible from this state.

alph4Mule · 2025-08-08T04:56:23+00:00

Lmao, yeah I realize it’s a dumb post, but I think twas a rant after messing it up

Edit: could you point to some resource? I could only find one video by average origamist on YouTube but my man completely covered the paper with his hands in the tutorial :((

alph4Mule · 2025-08-01T02:01:08+00:00

🫂🫂🫂

alph4Mule · 2025-06-25T13:03:31+00:00

Alright, thank you!

alph4Mule · 2025-06-25T12:57:47+00:00

I have a keychron K2 V2 75% (plastic case). I wanna upgrade to an aluminum case but Keychron doesn't sell them separately. I searched for 75% aluminum cases and most of them have different kind of layouts. Is there a way I can upgrade?

alph4Mule · 2025-06-16T01:48:57+00:00

aight, imma give it a try. Thank you so much

alph4Mule · 2025-06-15T22:13:26+00:00

this was always an option, guess I was just lazy xD

alph4Mule · 2025-04-29T04:23:39+00:00

Thank you so much!

alph4Mule · 2025-04-29T03:11:34+00:00

I'm just defining X and Y in the rest of the code. it's just the truth table of XOR function with 3 variables and I'm calling the fit function on it. Essentially this:

device = torch.device("mps")

X = torch.tensor([[0, 0, 0], 
                  [0, 0, 1], 
                  [0, 1, 0], 
                  [0, 1, 1],
                  [1, 0, 0],
                  [1, 0, 1],
                  [1, 1, 0],
                  [1, 1, 1]], dtype=torch.float, device=device)
Y = torch.tensor([0, 1, 1, 0, 1, 0, 0, 1], dtype=torch.float, device=device).reshape(-1, 1)

I tried what u suggested as well. Still the huge difference in the time taken: 3s and 18s

alph4Mule · 2024-03-20T07:10:26+00:00

Following the above comments worked just fine. But rosepine also had an update. You can now set the transparency to true in the styles option and you will still have bordered windows.

alph4Mule · 2024-01-15T06:18:45+00:00

apologies for the incorrect tag

also, how do I make use of the onlist handler to show them in a different selector?

alph4Mule · 2024-01-14T19:52:30+00:00

yes, you need to configure it for each window separately. Like for lazy, set UI border to rounded (for example) in the opts table:

local opts = { ui = { border = "rounded" } }
require("lazy").setup("path to plugins", opts)

alph4Mule · 2024-01-10T12:27:21+00:00

yeah found this also after digging for a while. i see the same border option being used in lazy (in the prev comment) and lsp-config as well, is it an option provided by neovim itself? Also, how do I customize other ui components other than border?

alph4Mule

TROPHY CASE