Introduction of UNetConvNext-gray_scott_reaction_diffusion
Model Details of UNetConvNext-gray_scott_reaction_diffusion
Benchmarking Models on the Well
The Well
is a 15TB dataset collection of physics simulations. This model is part of the models that have been benchmarked on the Well.
The models have been trained for a fixed time of 12 hours or up to 500 epochs, whichever happens first. The training was performed on a NVIDIA H100 96GB GPU.
In the time dimension, the context length was set to 4. The batch size was set to maximize the memory usage. We experiment with 5 different learning rates for each model on each dataset.
We use the model performing best on the validation set to report test set results.
The reported results are here to provide a simple baseline.
They should not be considered as state-of-the-art
. We hope that the community will build upon these results to develop better architectures for PDE surrogate modeling.
UNetConvNext-gray_scott_reaction_diffusion huggingface.co is an AI model on huggingface.co that provides UNetConvNext-gray_scott_reaction_diffusion's model effect (), which can be used instantly with this polymathic-ai UNetConvNext-gray_scott_reaction_diffusion model. huggingface.co supports a free trial of the UNetConvNext-gray_scott_reaction_diffusion model, and also provides paid use of the UNetConvNext-gray_scott_reaction_diffusion. Support call UNetConvNext-gray_scott_reaction_diffusion model through api, including Node.js, Python, http.
UNetConvNext-gray_scott_reaction_diffusion huggingface.co is an online trial and call api platform, which integrates UNetConvNext-gray_scott_reaction_diffusion's modeling effects, including api services, and provides a free online trial of UNetConvNext-gray_scott_reaction_diffusion, you can try UNetConvNext-gray_scott_reaction_diffusion online for free by clicking the link below.
polymathic-ai UNetConvNext-gray_scott_reaction_diffusion online free url in huggingface.co:
UNetConvNext-gray_scott_reaction_diffusion is an open source model from GitHub that offers a free installation service, and any user can find UNetConvNext-gray_scott_reaction_diffusion on GitHub to install. At the same time, huggingface.co provides the effect of UNetConvNext-gray_scott_reaction_diffusion install, users can directly use UNetConvNext-gray_scott_reaction_diffusion installed effect in huggingface.co for debugging and trial. It also supports api for free installation.
UNetConvNext-gray_scott_reaction_diffusion install url in huggingface.co: