---
id: "/non-llm-neural-networks-ml-foundations/generative-theory/"
title: "generative theory: 1 curated resources"
url: "https://skillissue.dev/non-llm-neural-networks-ml-foundations/generative-theory/"
---

# generative theory: 1 curated resources

generative theory

[Beginner](/non-llm-neural-networks-ml-foundations/beginner/index.md) [Intermediate](/non-llm-neural-networks-ml-foundations/intermediate/index.md) [Advanced](/non-llm-neural-networks-ml-foundations/advanced/index.md) [Expert](/non-llm-neural-networks-ml-foundations/expert/index.md)

1 resources · page 1 of 1

- 

### [Deep-learning laminar-flow surrogates](/foundations/llm-fundamentals/deep-learning-laminar-flow-surrogates/index.md)

by [TUM Physics-based Simulation](https://ge.in.tum.de)

TUM dl-surrogates GitHub repo: deep learning surrogates for laminar flow and minimum drag shapes.

entity repo EU-DE en 

[Plain-text Markdown copy](/non-llm-neural-networks-ml-foundations/generative-theory/index.md)