#ondeviceML - Twitter Hashtag

3 days ago

Fast forward, and I’m back to exploring on-device ML, this time with Kotlin and LiteRT. I’m documenting what I learn in a new series, starting with the basics and eventually getting into on-device GenAI. Part 1 👇 https://t.co/PeL61t99Dg #Kotlin #LITERT #ondeviceML #Tensorflow

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GDG Kathmandu @gdgkathmandu

almost 2 years ago

Pranesh Pyara Shrestha, a Cross-Platform Mobile Engineer, shared valuable insights on optimizing machine learning models for on-device use with Flutter at DevFest Kathmandu 2024. #Flutter #OnDeviceML #GDG #DevFest2024 #TechTalks #GenAI #DevFest #GDGKathmandu

gdgkathmandu's tweet photo. Pranesh Pyara Shrestha, a Cross-Platform Mobile Engineer, shared valuable insights on optimizing machine learning models for on-device use with Flutter at DevFest Kathmandu 2024.

#Flutter #OnDeviceML #GDG #DevFest2024 #TechTalks #GenAI #DevFest #GDGKathmandu https://t.co/WpfdOuiddL

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Michelle R Carney @michellercarney

over 3 years ago

If you're interested in #ondeviceML or #ODML (or even #edgeML) tech and always wanted to try TFLite - great news!! There's a kaggle competition you can learn the tech AAAAND help make sign language more accessible!!! 🤘✌️👌

TensorFlow @TensorFlow

over 3 years ago

Check out our new Kaggle competition to help make sign language more accessible by training a real-time sign language recognition TFLite model! Learn more ➡️ https://t.co/hGH9nhEmiC

TensorFlow's tweet photo. Check out our new Kaggle competition to help make sign language more accessible by training a real-time sign language recognition TFLite model!

Learn more ➡️ https://t.co/hGH9nhEmiC https://t.co/znMGesDZFk

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Google for Developers

@googledevs

almost 4 years ago

🆕 Face mesh detection API on #MLKit 🎉 You can generate a high-accuracy 3D mesh of 468 points to add #AR effects to faces, find facial landmarks, or detect faces in selfies and videos — in real time⚡️and on-device📱. #ML #OnDeviceML Try it out → https://t.co/7xOiuuVWiY

googledevs's tweet photo. 🆕 Face mesh detection API on #MLKit 🎉

You can generate a high-accuracy 3D mesh of 468 points to add #AR effects to faces, find facial landmarks, or detect faces in selfies and videos — in real time⚡️and on-device📱. #ML #OnDeviceML

Try it out → https://t.co/7xOiuuVWiY https://t.co/M7EP2WE3bl

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Sreeraag Gorty @gortysreeraag

almost 5 years ago

Google almost already sold me #OndeviceML with the voice typing and camera features! This is now showing off their real differentiators - ML, NLP, deep tech! #Pixel6Launch

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Yoni Tsafir @YoniTsafir

almost 7 years ago

This is what we do :) #OnDeviceML

Google AI

@GoogleAI

almost 7 years ago

Recorder is a new audio app for #Pixel4 that leverages state-of-the-art on-device #MachineLearning to transcribe conversations, classify sounds, and index recordings so users can easily find segments of interest, all done entirely on-device. Read more ↓ https://t.co/L2vlcfEzRx

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Margaret M. @margaretmz

over 7 years ago

I had fun speaking at the Computer Vision workshop organized by @atiglobalorg today! #TensorFlow #DeepLearning #ComputerVision #OnDeviceML #TFLite #AndroidML #EdgeTPU @sparkfun microcontroller

margaretmz's tweet photo. I had fun speaking at the Computer Vision workshop organized by @atiglobalorg today! #TensorFlow #DeepLearning #ComputerVision #OnDeviceML #TFLite #AndroidML #EdgeTPU @sparkfun microcontroller https://t.co/nuSrSXJPin

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Yoni Tsafir @YoniTsafir

over 7 years ago

Proud to be on the team with the people who made this 💪🏻! #OnDeviceML

Google

@Google

over 7 years ago

Built in collaboration with the Deaf and hard-of-hearing community, and coming later this year, Live Caption automatically captions media playing on your phone. #io19