DependableSystemsLab / TensorFI

TensorFI is a fault injection framework for injecting both hardware and software faults into applications written using the TensorFlow framework. You can find more information about TensorFI in the paper below.

Date Created 2018-08-28 (6 years ago)

Commits 124 (last one 3 years ago)

Stargazers 53 (0 this week)

Watchers 14 (0 this week)

Forks 23

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RepositoryStats indexes 585,332 repositories, of these DependableSystemsLab/TensorFI is ranked #445,725 (24th percentile) for total stargazers, and #155,085 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #84,895/116,570.

DependableSystemsLab/TensorFI is also tagged with popular topics, for these it's ranked: tensorflow (#1,952/2242), learning (#575/687)

Other Information

DependableSystemsLab/TensorFI has 1 open pull request on Github, 15 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 13 open issues and 9 closed issues.

There have been 2 releases, the latest one was published on 2020-08-07 (4 years ago) with the name TensorFI v2.0.0.

Homepage URL: http://blogs.ubc.ca/karthik/files/2018/08/TensorFI-Camera-Ready.pdf

All Topics

fault machine learning injection tensorflow

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updated: 2024-10-24 @ 01:27pm, id: 146393835 / R_kgDOCLnK6w