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 2 years ago)

Stargazers 172 (0 this week)

Watchers 10 (0 this week)

Forks 35

License apache-2.0

Ranking

RepositoryStats indexes 638,253 repositories, of these sayakpaul/Adventures-in-TensorFlow-Lite is ranked #210,918 (67th percentile) for total stargazers, and #201,511 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #5,047/19,304.

sayakpaul/Adventures-in-TensorFlow-Lite is also tagged with popular topics, for these it's ranked: inference (#172/331)

Other Information

sayakpaul/Adventures-in-TensorFlow-Lite has 1 open pull request on Github, 3 pull requests have been merged over the lifetime of the repository.

Github issues are 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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Recent Commit History

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

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Languages

The only known language in this repository is Jupyter Notebook

updated: 2025-03-07 @ 12:06pm, id: 259780923 / R_kgDOD3vxOw