mit-han-lab / tinyengine

[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning; [NeurIPS 2022] MCUNetV3: On-Device Training Under 256KB Memory
https://mcunet.mit.edu
MIT License
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Up-to-date ProxylessNAS models? #5

Closed travisjayday closed 1 year ago

travisjayday commented 2 years ago

We're trying to run NAS ourselves using OFA, but you have not open-sourced up-to-date ProxylessNAS models used in the mcunet search. These would be helpful for us to re-create your results and use them in our projects. Are there plans to do this?

Thanks!

tonylins commented 2 years ago

Hi, thanks for reaching out. We are currently working on releasing the super network. However, it could take a while due to the API change in the codebase.

meenchen commented 1 year ago

Close due to inactivity. Feel free to reopen.