https://github.com/csinva/dnn-ensemble
Testing the properties of ensembled neural networks.
Science Score: 23.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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○DOI references
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○Academic publication links
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✓Committers with academic emails
2 of 2 committers (100.0%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (2.9%) to scientific vocabulary
Keywords
ai
deep-learning
ml
neural-network
stability
uncertainty
Last synced: 5 months ago
·
JSON representation
Repository
Testing the properties of ensembled neural networks.
Basic Info
Statistics
- Stars: 4
- Watchers: 3
- Forks: 0
- Open Issues: 0
- Releases: 0
Topics
ai
deep-learning
ml
neural-network
stability
uncertainty
Created about 5 years ago
· Last pushed over 4 years ago
Metadata Files
Readme
License
readme.md
DNN ensembling
Understanding how to transfer better using neural networks
Owner
- Name: Chandan Singh
- Login: csinva
- Kind: user
- Location: Microsoft research
- Company: Senior researcher
- Website: csinva.io
- Twitter: csinva_
- Repositories: 29
- Profile: https://github.com/csinva
Senior researcher @Microsoft interpreting ML models in science and medicine. PhD from UC Berkeley.
GitHub Events
Total
Last Year
Committers
Last synced: 8 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Saarim Rahman | s****n@b****u | 18 |
| Chandan Singh | c****h@b****u | 7 |
Committer Domains (Top 20 + Academic)
berkeley.edu: 2
Issues and Pull Requests
Last synced: 8 months ago
All Time
- Total issues: 0
- Total pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 0
- Total pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0