awesome-embedded-ml
This is a list of interesting papers and projects about Embedded machine learning projects.
https://github.com/bhoke/awesome-embedded-ml
Last synced: 3 days ago
JSON representation
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Ideas and Inspiration
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TensorFlow Lite models
- E2E TFLite Tutorials - Checkout this repo for sample app ideas and seeking help for your tutorial projects. Once a project gets completed, the links of the TensorFlow Lite model(s), sample code and tutorial will be added to this awesome list.
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Helpful links
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TensorFlow Lite models
- Adventures in TensorFlow Lite - A repository showing non-trivial conversion processes and general explorations in TensorFlow Lite.
- The People + AI Guide book - Learn how to design human-centered AI products.
- TensorFlow Lite for Microcontrollers
- Netron - A tool for visualizing models.
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Blog posts
- What is new in TensorFlow Lite - By Khanh LeViet.
- Optical character recognition with TensorFlow Lite: A new example app
- Optimizing style transfer to run on mobile with TFLite - By Khanh LeViet and Luiz Gustavo Martins.
- How TensorFlow Lite helps you from prototype to product - By Khanh LeViet.
- Training and serving a real-time mobile object detector in 30 minutes with Cloud TPUs - By Sara Robinson, Aakanksha Chowdhery, and Jonathan Huang.
- Why the Future of Machine Learning is Tiny - By Pete Warden.
- https://blog.tensorflow.org/2021/06/easier-object-detection-on-mobile-with-tf-lite.html
- TensorFlow Model Optimization Toolkit — float16 quantization halves model size - By the TensorFlow team.
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Books
- AI and Machine Learning On-Device Development - By Laurence Moroney
- AI at the Edge - By Daniel Situnayake and Jenny Plunket.
- Practical Deep Learning for Cloud, Mobile, and Edge - By Anirudh Koul, Siddha Ganju, and Meher Kasam.
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Videos
- Contributing to TensorFlow Lite with Sunit Roy
- Easy on-device ML from prototype to production
- TensorFlow Lite: ML for mobile and IoT devices
- Keynote - TensorFlow Lite: ML for mobile and IoT devices
- TensorFlow Lite: Solution for running ML on-device
- TensorFlow model optimization: Quantization and pruning
- Inside TensorFlow: TensorFlow Lite
- Contributing to TensorFlow Lite with Sunit Roy
- Easy on-device ML from prototype to production
- TensorFlow Lite: ML for mobile and IoT devices
- Keynote - TensorFlow Lite: ML for mobile and IoT devices
- TensorFlow Lite: Solution for running ML on-device
- TensorFlow model optimization: Quantization and pruning
- Inside TensorFlow: TensorFlow Lite
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MOOCs
- Introduction to TensorFlow Lite - Udacity course by Daniel Situnayake (@dansitu), Paige Bailey, and Juan Delgado.
- Device-based Models with TensorFlow Lite - Coursera course by Laurence Moroney.
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Model zoo
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TensorFlow Lite models
- MobileNet - Pretrained MobileNet v2 and v3 models.
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Plugins and SDKs
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TensorFlow Lite models
- Coral Edge TPU - Edge hardware by Google. [Coral Edge TPU examples](https://coral.ai/examples/).
- MediaPipe - A cross platform (mobile, desktop and Edge TPUs) AI pipeline by Google AI. (PM [Ming Yong](https://twitter.com/realmgyong)) | [MediaPipe examples](https://mediapipe.readthedocs.io/en/latest/examples.html).
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Programming Languages
Sub Categories
Keywords
deep-learning
3
tensorflow-lite
3
machine-learning
2
inference
2
ml
1
machinelearning
1
keras
1
deeplearning
1
coreml
1
ai
1
tf-lite-model
1
tf-hub
1
tensorflow-2
1
quantization-aware-training
1
pruning
1
post-training-quantization
1
on-device-ml
1
model-quantization
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model-optimization
1
tutorials
1
tflite-model
1
video-processing
1
stream-processing
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pipeline-framework
1
perception
1
mobile-development
1
mediapipe
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graph-framework
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graph-based
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framework
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computer-vision
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calculator
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c-plus-plus
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audio-processing
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android
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visualizer
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tensorflow
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safetensors
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pytorch
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onnx
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numpy
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neural-network
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colab-notebook
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