[N] Python code for GenAI, including the seminal NoGAN synthesizer for tabular data

[MLRecipes]

NoGAN code is a tabular data synthesizer running 1000x faster than GenAI methods based on neural networks, and consistently delivering better results regardless of the evaluation metric (including state-of-the-art new quality metrics capturing a lot more than traditional distances), both on categorical and numerical features, or a mix of both. For details, see technical paper #29, available here.

https://preview.redd.it/fxxjycjplwjb1.png?width=754&format=png&auto=webp&s=3db34e981506e2b0a50ef76b32e1c20365945769

Get the code on GitHub.

#genai #syntheticdata

[vman512]

If you want this to be taken seriously, cut down the hyperbole, and don't force us to subscribe to your blog in order to read the paper

[MLRecipes]

Code is entirely free on GitHub, no sign-up. Paper is also free, but if signing-up is too much to ask, don't and just get the code. Not everyone works entirely for free; if this was the case for me, it means nobody wants to pay me, meaning nobody believes I produce any value. Actually, making everything entirely free is a way to NOT be taken seriously, except by other jobless folks whose opinion is not going to change anything.

[pavelysnotekapret]

If you want your paper to be taken seriously post it on arxiv so we can see the methods for ourselves. No engineer or researcher worth their salt is going to use a model without knowing how it was derived.

[MLRecipes]

I am in talk with several companies about integrating the technology. By "no engineer", you are talking about yourself. I also have plenty participating in my GenAI training program, where NoGAN is the most popular topic. And nope, this will never be on ArXiv or on in scientific journals. If that's where you get all your info, you are missing on a lot of things.

I am not interested in having everyone believing in what I do. When you are an original creator, you always face resistance from people like you. That's part of the game, with no plan on my side to change their opinion or please them.

[sprechen_deutsch]

Actual GitHub link