IBM / FfDL

Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes

Date Created 2018-02-07 (6 years ago)
Commits 92 (last one about a year ago)
Stargazers 692 (0 this week)
Watchers 84 (0 this week)
Forks 187
License apache-2.0
Ranking

RepositoryStats indexes 585,332 repositories, of these IBM/FfDL is ranked #70,858 (88th percentile) for total stargazers, and #22,326 for total watchers. Github reports the primary language for this repository as Go, for repositories using this language it is ranked #4,239/25,692.

IBM/FfDL is also tagged with popular topics, for these it's ranked: python (#3,746/22032),  deep-learning (#1,674/8403),  machine-learning (#1,678/7939),  pytorch (#1,096/5954),  ai (#719/3895),  tensorflow (#579/2242),  artificial-intelligence (#409/2064),  keras (#178/791),  deep-neural-networks (#128/628),  ml (#120/603),  jupyter (#133/551),  storage (#129/491),  deeplearning (#92/399)

Other Information

IBM/FfDL has 18 open pull requests on Github, 89 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 23 open issues and 41 closed issues.

Homepage URL: https://developer.ibm.com/code/patterns/deploy-and-use-a-multi-framework-deep-learning-platform-on-kubernetes/

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Recent Commit History

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

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Languages

The primary language is Go but there's also others...

updated: 2024-11-17 @ 02:36am, id: 120658002 / R_kgDOBzEYUg