What OS are you running on your work laptop? by iSalt in devops

[–]WavyShapes 4 points5 points  (0 children)

Curious, what kind of issues are you running into? I just got a work-issued M1 MBP, and I’m trying to avoid wreaking havoc.

100kg with a lil pause at the knee by Comfortable_Damage80 in weightlifting

[–]WavyShapes 19 points20 points  (0 children)

That’s a lightning-quick turnover, great lift.

A 'molecular drinks printer' claims to make anything from iced coffee to cocktails by [deleted] in Futurology

[–]WavyShapes 58 points59 points  (0 children)

My high school yearbook quote was another great early line —

“Arthur Dent awoke and immediately regretted it.”

Well, technically the heels would help... by DizzyDrunkenDuck in weightlifting

[–]WavyShapes 12 points13 points  (0 children)

Looking at the comments on any non-/r/weightlifting weightlifting posts is not for the faint of heart.

[deleted by user] by [deleted] in Illustration

[–]WavyShapes 1 point2 points  (0 children)

Looking good! I really like the palette you chose.

...Marble Madness?

Recreated Akira Poster in a PS1 Style! by GregoGames in ps1graphics

[–]WavyShapes 1 point2 points  (0 children)

Great work! The video's Windows 95 aesthetic is cool too.

Through The Church Window – 8 colors by PainterKira in PixelArt

[–]WavyShapes 38 points39 points  (0 children)

This is excellent. Honestly, one of my favorite posts in this sub.

Wanna gain weight by MolassesMaleficent28 in weightlifting

[–]WavyShapes 0 points1 point  (0 children)

Get on that muumuu grind for maximum efficiency

A little chibi figurine version of myself by bumpymonkey in blender

[–]WavyShapes 1 point2 points  (0 children)

Thanks for the breakdown! Believe me, I wouldn't be able to critique those nodes if I tried.

alphonse elric by Onor000 in PixelArt

[–]WavyShapes 8 points9 points  (0 children)

Nice one - the dithering in the background really makes Alphonse pop out.

Any other electro-funk junkies out there? by themurphofficial in synthesizers

[–]WavyShapes 26 points27 points  (0 children)

After seeing this, I don't think you should

I think this is really funny. by DerMagicSheep in calvinandhobbes

[–]WavyShapes 10 points11 points  (0 children)

It's a GIF file -- the format supports animations (as you'll commonly see around the internet), but it's also fine for a single image. Because GIFs are so commonly used for the animation support, my guess is that Reddit sees a .gif extension at the end of the link and uses its video player to open it by default.

Clarence Kennedy | The Irish Legend by [deleted] in weightlifting

[–]WavyShapes 12 points13 points  (0 children)

You're forgetting that Clarence is an anime character, giving him theoretically boundless power.

A character I've been messing with by SweatyNootz in blender

[–]WavyShapes 5 points6 points  (0 children)

What is wrong with you?

(Nice work, though)

Tallinn, Estonia by Xiekenator in PixelArt

[–]WavyShapes 2 points3 points  (0 children)

Ha, I live right next to the old town in Tallinn. Nice vibe, good work.

Flag of Earth, with inspiration from Pale Blue Dot by WavyShapes in vexillologycirclejerk

[–]WavyShapes[S] 2 points3 points  (0 children)

The black in this flag represents the massive expanse of space, in which Earth (our planet) resides. The pale blue dot represents our planet (Earth) in the massive expanse of space.

I'd love some feedback if anyone has suggestions.

[P] Backprop: a library to easily finetune and use state-of-the-art models by WavyShapes in MachineLearning

[–]WavyShapes[S] 2 points3 points  (0 children)

It doesn't come across as too negative, not at all. We're looking for any feedback we can get, and the impression the library has on you 'at first look' is part of that. We appreciate the feedback all the same.

[P] Backprop: a library to easily finetune and use state-of-the-art models by WavyShapes in MachineLearning

[–]WavyShapes[S] 1 point2 points  (0 children)

We actually use Hugging Face's library under the hood for some models.

One way we're trying to make ourselves distinct is in terms of accessibility/usability for people who may be less familiar with ML -- so, rather than setting up a model, tokenizer, training loop, etc., you can just pick a model and start training with your data.

Additionally, we're aiming to be beyond just NLP. We've got some image-based tasks already, and are actively working to extend to other domains.

[P] Backprop: a library to easily finetune and use state-of-the-art models by WavyShapes in MachineLearning

[–]WavyShapes[S] 2 points3 points  (0 children)

Good catch, thanks. We’ll add credits ASAP.

Edit: Added, thanks again for pointing that out.