sayakpaul / Adventures-in-TensorFlow-Lite

This repository contains notebooks that show the usage of TensorFlow Lite for quantizing deep neural networks.

Date Created 2020-04-29 (4 years ago)

Commits 143 (last one about a year ago)

Stargazers 169 (0 this week)

Watchers 12 (0 this week)

Forks 33

License apache-2.0

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RepositoryStats indexes 534,551 repositories, of these sayakpaul/Adventures-in-TensorFlow-Lite is ranked #189,662 (65th percentile) for total stargazers, and #172,438 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #4,304/14,929.

Other Information

sayakpaul/Adventures-in-TensorFlow-Lite has Github issues enabled, there is 1 open issue and 5 closed issues.

There have been 14 releases, the latest one was published on 2021-05-07 (3 years ago) with the name Metadata populated DeepLabV3-based segmentation models.

All Topics

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

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9 commits on the default branch (master) since jan '22

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The only known language in this repository is Jupyter Notebook

updated: 2024-06-15 @ 05:47am, id: 259780923 / R_kgDOD3vxOw