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Launch HN: Numericcal (YC.S18) – Lifecycle Management for ML Models on the Edge

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Re: Launch HN: Numericcal (YC.S18) – Lifecycle Management for ML Models on the Edge

#11

Post by radoye »

zitterbewegung wrote: post #9

Your project sounds really interesting. Machine learning models that can be updated and treated more like packages will really give people an edge over people who can't perform that task. I made a project called mms2concept. What it would do is given a picture taken by a phone (or anything that could send an MMS really) and it would attempt to identify the image based on the picture. I used Clarfai and Twilio to do t…

Can you share some writeup or repo for your project?

We internally have an auto-migration tool (currently very primitive) that can learn from cloud hosted model and cache it locally on the device (that's what this infra & packaging was built for ;)).

Re: Launch HN: Numericcal (YC.S18) – Lifecycle Management for ML Models on the Edge

#12

Post by zitterbewegung »

radoye wrote: post #11
zitterbewegung wrote: post #9

Your project sounds really interesting. Machine learning models that can be updated and treated more like packages will really give people an edge over people who can't perform that task. I made a project called mms2concept. What it would do is given a picture taken by a phone (or anything that could send an MMS really) and it would attempt to identify the image based on the picture. I used Clarfai and Twilio to do t…

Can you share some writeup or repo for your project? We internally have an auto-migration tool (currently very primitive) that can learn from cloud hosted model and cache it locally on the device (that's what this infra & packaging was built for ;)).

A writeup is at https://steemit.com/twilio/@zitterbewegung/mms2text-let-your....

I have a repository of the software at https://github.com/zitterbewegung/mms2text .

Re: Launch HN: Numericcal (YC.S18) – Lifecycle Management for ML Models on the Edge

#13

Post by radoye »

zitterbewegung wrote: post #12
radoye wrote: post #11

Earlier quoted context omitted.

Can you share some writeup or repo for your project? We internally have an auto-migration tool (currently very primitive) that can learn from cloud hosted model and cache it locally on the device (that's what this infra & packaging was built for ;)).

A writeup is at https://steemit.com/twilio/@zitterbewegung/mms2text-let-your... . I have a repository of the software at https://github.com/zitterbewegung/mms2text .

For some reason, your quick demo reminded me of this awesome MS project: https://www.microsoft.com/en-us/seeing-ai

Though we would be pushing it the boundary with 3+ DNNs on mobile, adding speech2text and text2speech to your app would make it an interesting addition to Seeing-AI, IMO.

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