https://github.com/sayakpaul/Adventures-in-TensorFlow-Lite

This repository contains notebooks that show the usage of TensorFlow Lite for quantizing deep neural networks.
https://github.com/sayakpaul/Adventures-in-TensorFlow-Lite

inference model-optimization model-quantization on-device-ml post-training-quantization pruning quantization-aware-training tensorflow-2 tensorflow-lite tf-hub tf-lite-model

Last synced: about 1 month ago
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This repository contains notebooks that show the usage of TensorFlow Lite for quantizing deep neural networks.

• Host: GitHub
• URL: https://github.com/sayakpaul/Adventures-in-TensorFlow-Lite
• Owner: sayakpaul
• License: apache-2.0
• Created: 2020-04-29T00:07:54.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2023-01-23T13:21:12.000Z (over 1 year ago)
• Last Synced: 2024-06-23T04:58:05.276Z (3 months ago)
• Topics: inference, model-optimization, model-quantization, on-device-ml, post-training-quantization, pruning, quantization-aware-training, tensorflow-2, tensorflow-lite, tf-hub, tf-lite-model
• Language: Jupyter Notebook
• Homepage:
• Size: 49.1 MB
• Stars: 169
• Watchers: 12
• Forks: 33
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-embedded-ml - Adventures in TensorFlow Lite - A repository showing non-trivial conversion processes and general explorations in TensorFlow Lite. (Helpful links / TensorFlow Lite models)