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huggingface hub integration #2142
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I was wondering if you were considering integrating the library with Hugging Face. The free tier supports easy uploading and downloading of datasets, and this could also be applied to models. More details here: https://huggingface.co/docs/hub/en/models-adding-libraries#register-your-libraries-supported-tasks-on-the-hub |
That's a good idea. We can integrate the RL models (more relevant to AI) near the end of the summer once @harshmahesheka has written several models. |
I think this is a good idea for the future and for the community. Many ABMs can be seen as graphs that change over time, and Graph Neural Networks, which are very popular in deep learning now, work well with these graph structures. So, I believe there will be more connections between AI and ABM in the future. |
A bit late to the reply. Been sick. IIRC, the usual intersection between AI and ABM, other than the similarity in the mathematical structure, is instead in surrogate modelling. You approximate expensive ABM's by having a NN simulates the time evolution of the model. It's similar to AlphaFold vs simulating the actual protein folding. I have seen this implemented in Julia: https://github.com/SciML/Surrogates.jl. |
I have seen that https://gradio.app/ is used in the UIs for Hugging Face. @wang-boyu have you looked into it, since it is listed in one of the possible frameworks to use in the GSoC wiki?
See also #1276.
Originally posted by @rht in #1622 (comment)
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