Computer Science++

[this-cheat-sheet-is-active]

No, Linus Torvalds is not Bitcoin's legendary creator Satoshi Nakamoto | ZDNet

Linus Torvalds has done several amazing things. He's the creator of both the Linux operating system and Git, the most popular distributed ve

Will the real なかもと、さとしーさん, please stand up?

[this-cheat-sheet-is-active]

Digital Minister Audrey Tang: Taiwan’s “Genius” and Her Unique Past

Taiwan’s “digital minister,” Audrey Tang (Tang Feng), made the 2019 list of 100 global thinkers published by Foreign Policy magazine. She ha

I’m not sure if somebody’s reading something on this blog. I don’t know if the beginners are reading something about Audrey Tang. Not everyone can be as competitive as Audrey Tang.

[this-cheat-sheet-is-active]

The free knowledge-sharing platform for technology

Create interactive content on any technology and share it with the community

[this-cheat-sheet-is-active]

[reachartwork]

i know nobody here cares but i'm gonna bitch here about it anyway since this is my AI art blog: it *really* bites my ass that neuralblender, the thing that has become astoundingly popular seemingly overnight for AI art, very transparently uses several pre-made AI Art code assets without any sort of credit towards the creators who spent months of hard work on that code.

I'm genuinely a little offended that clicking on "credits" brings you to a page where they ask you to spend microtransaction money on generating stuff from other people's code notebooks (THAT YOU CAN ACCESS FOR COMPLETELY FREE, WITH MORE OPTIONS, THAT RUN FASTER, HERE'S NEURALBLENDER HYPERION AND HERE'S NEURALBLENDER CRONOS, BOTH FOR FREE THAT YOU CAN RUN AS MUCH AS YOU WANT, FROM THE ORIGINAL CREATORS), and not, like, a page crediting the original sources of their code.

just as to continue the gripe chain the website is also just lazy as hell, they didn't even change the favicon from the default react icon, so the fact that neuralblender is exploding and the original creators of the work (and the people whose shoulder's they are standing on; Advadnoun, RiversHaveWings, and DanielRussRuss for starters) don't receive a lick of credit or acknowledgement really just bothers the shit out of me, that they can exploit the hard work of the developers in the AI art scene without crediting them.

Anyway, I would appreciate it if you felt like spreading this around and reblogging it. Here's a whole list of all the dozens of variations of CLIP+VQGAN and other generative art resources that you can be using for free instead of shelling out for Neuralblender's grift. you do not need to be good at programming for any of these.

[nostalgebraist]

I'm not necessarily cosigning the outrage on behalf of the original creators here, since I don't know how they actually feel about it.

Also, they put their work under the MIT License, which technically permits stuff like neuralblender.

(Details: neuralblender.com is a react frontend for a closed-source [?] black box service hosted on AWS. If there is a copy of the licensed code, it would be in the service. Since no one can see the code of the service, it might well have the MIT License blurb in there for all we know.

Since the service is a black box, I don't think we actually know it's doing the exact same things as these Colabs. But, it is clearly using the same general methods: the frontend source refers to Hyperion as "vqganclip" and Cronos as "diffclip.")

------

That said, it is pretty damn annoying IMO that neuralblender took publicly documented techniques like VQGAN+CLIP, slapped its own opaque brand names like "Hyperion" onto them, and made them available without providing any resources about what is actually happening when you use it.

Apart from any failure to credit specific people for their work, this is an educational failure. If you want to learn more about how neuralblender makes those cool pictures, neuralblender won't tell you.

It took something that other people invented and explained, re-packaged it, and stripped away the explanation.

EDIT: here's a very readable blog post from Max Woolf explaining how VQGAN+CLIP works.

(VQGAN+CLIP is what neuralblender calls "Hyperion" and is a widely-used technique. You can find plenty of other resources if you Google it.)

[reachartwork]

Oh, hi, Mx. Nostalgebraist! Love your work. Your autoresponder was one of the things that got me into making AI-generated content in the first place so its funny that this has now worked its way back in your direction.

The only thing I have to add is that I am one of the people that created a somewhat widely used CLIP+VQGAN notebook so at the bare minimum I'm a little peeved on behalf of myself, but I can't really say for sure whether they're using my notebook (Zoetrope) or someone else's as a base because, as you mentioned, it's entirely black-boxed.

[the-real-numbers-deactivated202]

I found a bunch of cli scripts for locally hosted CLIP+VQGAN published here:

GitHub - nerdyrodent/VQGAN-CLIP: Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.

Just playing with getting VQGAN+CLIP running locally, rather than having to use colab. - GitHub - nerdyrodent/VQGAN-CLIP: Just playing with

[this-cheat-sheet-is-active]

[this-cheat-sheet-is-active]

Regular Expression Library provides a searchable database of regular expressions. Users can add, edit, rate, and test regular expressions.

[this-cheat-sheet-is-active]

Hour of Code: Anybody can Learn

During the #HourOfCode, we're celebrating #CSEverywhere. Discover the connections!

[this-cheat-sheet-is-active]

3 Uses of the Ellipsis in Python

The cutest syntax sugar in Python

[this-cheat-sheet-is-active]

Learn the Basics of Python Programming online with Python Principles. Helpful community, example-based learning, and 100+ coding exercises.

[this-cheat-sheet-is-active]

Python Module Index — Python 3.10.0 documentation

[this-cheat-sheet-is-active]

What is NumPy? — NumPy v1.21 Manual

[this-cheat-sheet-is-active]

Examples using sklearn.linear_model.LogisticRegression: Release Highlights for scikit-learn 1.0 Release Highlights for scikit-learn 1.0, Rel

[this-cheat-sheet-is-active]

Examples using sklearn.linear_model.LogisticRegression: Release Highlights for scikit-learn 1.0 Release Highlights for scikit-learn 1.0, Rel

[this-cheat-sheet-is-active]

Yellowbrick: Machine Learning Visualization — Yellowbrick v1.3.post1 documentation

[this-cheat-sheet-is-active]

Language Invariant Properties in Natural Language Processing

Are text properties kept when you transform (e.g., translate) a message in another language?

[this-cheat-sheet-is-active]

Image tutorial — Matplotlib 3.4.3 documentation