Collection of generative models in Tensorflow. Contribute to hwalsuklee/tensorflow-generative-model-collections development by creating an account on GitHub.

Paper Title: Unifying Predictions of Deterministic and Stochastic Physics in Mesh-reduced Space with Sequential Flow Generative Model Authors: Sun, Luning, Xu Han, Han Gao, Jian-Xun Wang, and Liping ...

Now, Tegmark and his colleagues are learning whether other physics-inspired generative models might work as well as diffusion-based models, or even better. Late last year, Tegmark’s team introduced a ...

Generative model unveils secrets of material disorder. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2023 / 12 / 231204135222.htm ...

As for generative AI’s role in accelerating digital transformation, that’s all about applying the technology to deliver text-to-code and text-to-flow capabilities.

To address this challenge, we, for the first time, employ a flow-based generative model for TM estimation by establishing an invertible correlation between TM and link loads, oblivious of the routing ...

When programming a generative AI model, developers will feed it massive amounts of training data. For example, consider a large language model (or LLM).

KEY TAKEAWAYS • Generative AI models enhance data augmentation, natural language processing, and creative applications. However, they face challenges like training complexity and are resource ...

The internet is usually the source of generative AI models' training datasets, so as synthetic data proliferates online, self-consuming loops are likely to emerge with each new generation of a model.

Early expectations for generative AI are deflating – but realistic applications are beginning to emerge. Generative AI hype is ending – and now the technology might actually become useful Home ...

This appears to be a dig at competing generative-AI video programs. OpenAI's Sora is available for ChatGPT Plus and Pro users ...