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pypi.org : pytorch-influence-functions
This package is a plug-n-play PyTorch reimplementation of Influence Functions. Influence Functions were introduced in the paper Understanding Black-box Predictions via Influence Functions by Pang Wei Koh and Percy Liang (ICML2017).
Registry
-
Source
- Documentation
- JSON
- codemeta.json
purl: pkg:pypi/pytorch-influence-functions
Keywords:
deep-learning
, influence-functions
, pytorch
, pytorch-implementation
License: GPL-2.0
Latest release: almost 6 years ago
First release: almost 6 years ago
Dependent packages: 1
Dependent repositories: 1
Downloads: 600 last month
Stars: 340 on GitHub
Forks: 74 on GitHub
Total Commits: 13
Committers: 4
Average commits per author: 3.25
Development Distribution Score (DDS): 0.308
More commit stats: commits.ecosyste.ms
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Last synced: 2 days ago
simplexai 0.0.3
SimplEx - Explaining Latent Representations with a Corpus of Examples3 versions - Latest release: almost 3 years ago - 1 dependent repositories - 749 downloads last month - 3 stars on GitHub - 2 maintainers
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