[GH-ISSUE #308] Additions to AI frameworks: Chapter 6 suggestion #3973

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opened 2026-04-19 12:01:35 -05:00 by GiteaMirror · 1 comment
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Originally created by @emmanuel2406 on GitHub (Jul 5, 2024).
Original GitHub issue: https://github.com/harvard-edge/cs249r_book/issues/308

I would suggest committing some attention to PyTorch Mobile as well, since it seems this chapter was very Tf-centric. Even though it is still in beta, it would be useful to consider the deployment benefits that come with this alternative as opposed to tf lite.

Another suggestion would be acknowledging Hugging Face as a platform to hot start the ML development cycle. I think this is a good community that could do with a bigger Tiny ML presence.

Originally created by @emmanuel2406 on GitHub (Jul 5, 2024). Original GitHub issue: https://github.com/harvard-edge/cs249r_book/issues/308 I would suggest committing some attention to PyTorch Mobile as well, since it seems this chapter was very Tf-centric. Even though it is still in beta, it would be useful to consider the deployment benefits that come with this alternative as opposed to tf lite. Another suggestion would be acknowledging Hugging Face as a platform to hot start the ML development cycle. I think this is a good community that could do with a bigger Tiny ML presence.
GiteaMirror added the area: booktype: improvement labels 2026-04-19 12:01:35 -05:00
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@profvjreddi commented on GitHub (Jul 8, 2024):

Both are great suggestions! Thank you for that. Agree with both your
suggestions, especially now that PyTorch is turning its focus more towards
the embedded/edge ecosystem.

Vijay Janapa Reddi, Ph. D. |
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On Fri, Jul 05, 2024 at 1:23 PM, Emmanuel Rassou @.***>
wrote:

I would suggest committing some attention to PyTorch Mobile as well, since
it seems this chapter was very Tf-centric. Even though it is still in beta,
it would be useful to consider the deployment benefits that come with this
alternative as opposed to tf lite.

Another suggestion would be acknowledging Hugging Face as a platform to
hot start the ML development cycle. I think this is a good community that
could do with a bigger Tiny ML presence.


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<!-- gh-comment-id:2214572611 --> @profvjreddi commented on GitHub (Jul 8, 2024): Both are great suggestions! Thank you for that. Agree with both your suggestions, especially now that PyTorch is turning its focus more towards the embedded/edge ecosystem. Vijay Janapa Reddi, Ph. D. | John L. Loeb Associate Professor of Engineering and Applied Sciences | John A. Paulson School of Engineering and Applied Sciences | Science and Engineering Complex (SEC) | 150 Western Ave, Room #5.305 | Boston, MA 02134 | Harvard University | My Website <http://scholar.harvard.edu/vijay-janapa-reddi> | Google Scholar <https://scholar.google.com/citations?hl=en&user=gy4UVGcAAAAJ&view_op=list_works&sortby=pubdate> | Edge Computing Lab <https://edge.seas.harvard.edu> | Book Meeting <https://fantastical.app/vjreddi/> | Contact Admin <https://scholar.harvard.edu/vijay-janapa-reddi/contact> | On Fri, Jul 05, 2024 at 1:23 PM, Emmanuel Rassou ***@***.***> wrote: > I would suggest committing some attention to PyTorch Mobile as well, since > it seems this chapter was very Tf-centric. Even though it is still in beta, > it would be useful to consider the deployment benefits that come with this > alternative as opposed to tf lite. > > Another suggestion would be acknowledging Hugging Face as a platform to > hot start the ML development cycle. I think this is a good community that > could do with a bigger Tiny ML presence. > > — > Reply to this email directly, view it on GitHub > <https://github.com/harvard-edge/cs249r_book/issues/308>, or unsubscribe > <https://github.com/notifications/unsubscribe-auth/ABT6DFGLQQJDV6ENINBBSLTZK3JC3AVCNFSM6AAAAABKNQ54TCVHI2DSMVQWIX3LMV43ASLTON2WKOZSGM4TEOJTGYZDKMI> > . > You are receiving this because you are subscribed to this thread.Message > ID: ***@***.***> >
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Reference: github-starred/cs249r_book#3973