GitHub / nimarb/pytorch_influence_functions committers
This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence Functions by Pang Wei Koh and Percy Liang.
Last synced: 2 months ago
Total Commits: 13
Total Committers: 4
Total Bot Commits: 0
Total Bot Committers: 0
Avg Commits per committer: 3.25
Development Distribution Score (DDS): 0.308
Total Committers: 4
Total Bot Commits: 0
Total Bot Committers: 0
Avg Commits per committer: 3.25
Development Distribution Score (DDS): 0.308
Commits in the past year: 0
Committers in the past year: 0
Bot Commits in the past year: 0
Bot Committers in the past year: 0
Avg Commits per committer in the past year: 0.0
Development Distribution Score (DDS) in the past year: 0.0
Committers in the past year: 0
Bot Commits in the past year: 0
Bot Committers in the past year: 0
Avg Commits per committer in the past year: 0.0
Development Distribution Score (DDS) in the past year: 0.0
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| Name | Commits | |
|---|---|---|
| Nimar | l****b@g****m | 9 |
| Verena Haunschmid | v****e@g****m | 2 |
| Zayd Hammoudeh | z****h@g****m | 1 |
| ml-illustrated | g****d@m****m | 1 |
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